David Howarth. Business Development Manager Americas

Size: px
Start display at page:

Download "David Howarth. Business Development Manager Americas"

Transcription

1

2

3 David Howarth Business Development Manager Americas

4 David Howarth IPG Automotive USA, Inc. Business Development Manager Americas ni.com

5 Testing Automated Driving Functions using a flexible XiL Approach IPG background: Founded in 1984; pioneer in vehicle dynamics simulation Global expertise in Virtual Vehicle development & simulation Industry leading CarMaker Software for ADAS & AV

6 Safety-Critical Functions Must Not Fail! Testing in countless everyday situations Changes to the Software Start testing again! Millions+ of miles necessary to release functions in real-world tests 23-May-18 6

7 Virtual Vehicle Development & Simulation is the only Option

8 Virtual Vehicle Development & Simulation is the only Option

9 Using XiL to test Autonomous Vehicle Functions Combine XiL with Virtual Vehicles and Simulation Use Virtual Vehicles & Simulation from the beginning of development Virtual Vehicle Prototype Test AV functions in a representative functional vehicle model, not in isolation Higher quality results from the beginning

10 Using XiL to test Autonomous Vehicle Functions Enable Reuse across the entire Development Process Virtual Vehicle Prototype Hardwarein-the-Loop Vehiclein-the-Loop Model-inthe-Loop Softwarein-the-Loop Processorin-the-Loop Same simulation scenarios + evaluation criteria

11 Using XiL to test Autonomous Vehicle Functions What is needed to add Virtual Vehicles and Simulation? 1. Utilize a platform to create high-fidelity vehicle models with sensors 2. Build simulation scenarios with: roads, traffic, and driver 3. Create or modify simulation scenarios quickly GUI based 4. Control traffic vehicles and pedestrians 5. Work with other tools (e.g. NI) 6. Run simulations in faster than real-time 7. Utilize test automation, scripting, and DOE (Design of Experiments)

12 Virtual Vehicle Development A complete vehicle testing environment for real-world driving simulation Comprehensive vehicle model with integrated powertrain models Easy exchange of 3 rd party models for vehicle sub-systems (e.g., Simulink, FMI, C-code, etc.)

13 Virtual Vehicle Development Complete Realtime Vehicle Model Aerodynamics 3D aerodynamics Crosswind build-up Vehicle Body Flexible or rigid Sprung mass, loads, engine Position, masses, inertia Steering Steer by torque / angle Pfeffer steering model Sensors Ideal Sensors High-Fidelity Sensors Raw Signal Interface Sensors Powertrain Engine (Layouts, Mappings) Elastic driveline shafts Clutch (Friction, Converter) Gearbox (automatic / manual) Driveline Suspension Spring (Linear, Non-linear) Damper (Linear, Non-linear) Buffer (Linear, Non-linear) Stabilizer Kinematics & Compliance Wheel bearing with friction Tires TameTire and Pacejka 3D Tire Interface, MF-5.2, MF-Swift etc. Brakes Hydraulic model valid for ABS/ESP Pressure distribution via pedal actuation or via pedal force

14 Where do You get a Virtual Vehicle? Practical vehicle parameterization based on publicly available information

15 Virtual Vehicle Development Sensors: Specific models for a wide range of use cases Sensor Model Type Typical Use Case Real-Time Functionality Sensor Model Output Physical Sensor Effects IDEAL Function Proof-of-Concept Yes Object List (FS+ Sensor provides Point Cloud) None Need a wide range of sensor models to support specific testing needs 23-May-18 15

16 Virtual Vehicle Development Sensors: Ideal Sensor Need a wide range of sensor models to support specific testing needs 23-May-18 16

17 Virtual Vehicle Development Sensors: Specific models for a wide range of use cases Sensor Model Type Typical Use Case Real-Time Functionality Sensor Model Output Physical Sensor Effects IDEAL Function Proof-of-Concept Yes Object List (FS+ Sensor provides Point Cloud) None HIGH FIDELITY Function Development Yes Object List Extensive Need a wide range of sensor models to support specific testing needs 23-May-18 17

18 Virtual Vehicle Development Sensors: Specific models for a wide range of use cases Sensor Model Type Typical Use Case Real-Time Functionality Sensor Model Output Physical Sensor Effects IDEAL Function Proof-of-Concept Yes Object List (FS+ Sensor provides Point Cloud) None HIGH FIDELITY Function Development Yes Object List Extensive PHYSICAL Sensor Development Yes (depends on complexity & computing capacity) Raw Signal Full Need a wide range of sensor models to support specific testing needs 23-May-18 18

19 Virtual Vehicle Development Example: Radar Raw Signal Interface

20 Virtual Vehicle Development A complete vehicle testing environment for real-world driving simulation Comprehensive vehicle model with integrated powertrain models Easy exchange of 3 rd party models for vehicle sub-systems (e.g., Simulink, FMI, C-code, etc.) Fast and easy import of detailed real-world road networks GUI construction of roads

21 Virtual Vehicle Development Roads: Import, or Measure Realistic Road Networks Here, Google Maps ADASRP, KML Measurement-based High-fidelity mapping services Source: 3D Mapping 23-May-18 21

22 Virtual Vehicle Development GUI Drag & Drop Tool to create Roads+ Tool-bar on the left Roads, Intersections Streetsigns Houses, Trees, Bridges

23 Virtual Vehicle Development GUI Drag & Drop Tool to create Roads+

24 Scenario Generation

25 Virtual Vehicle Development A complete vehicle testing environment for real-world driving simulation Comprehensive vehicle model with integrated powertrain models Easy exchange of 3 rd party models for vehicle sub-systems (e.g., Simulink, FMI, C-code, etc.) Fast and easy import of detailed real-world road networks GUI construction of roads Intelligent driver model with definable driver attributes Replaceable with AV control models Directed and autonomous traffic objects Large variety of traffic objects to create high complexity scenarios

26 Virtual Vehicle Development Traffic: Create, Generate, Co-Simulate, or Record / Import Create Manually Generate Randomly Import Recorded Traffic Front view Rear view Traffic Editor Fully parameterizable, including radar cross sections Defined, directed, & autonomous driving modes with lateral motion Traffic Generator Part of Scenario Generator Definable density and vehicle types Place hundreds of traffic items in seconds Record, Replay, Rearrange Record & annotate video Reconfigure traffic & driver behavior to set up comprehensive test catalog 23-May-18 26

27 Virtual Vehicle Development Traffic Capabilities Drive arbitrary paths Speed profiles Autonomous driving Physics-based with roll and pitch Pedestrians with natural motion Animals with natural motion

28 Virtual Vehicle Development Dangerous Maneuvers Safely generate test-cases that are very difficult or dangerous Important to test dangerous maneuvers early in the development process

29 Using XiL to test Autonomous Vehicle Functions Enable Reuse across the entire Development Process Virtual Vehicle Prototype Hardwarein-the-Loop Vehiclein-the-Loop Model-inthe-Loop Software-inthe-Loop Processorin-the-Loop Same simulation scenarios + evaluation criteria

30 Example Use Case: MiL Co-Simulation with Simulink PC Direct Interface for co-simulation CarMaker Simulink Function under test HDMI Focus on the model behavior while working in Simulink Easily test the model as part of a Virtual Vehicle running in CarMaker Interactively or automated 30

31 Example Use Case: MiL C/C++ Based Models For organizations who build function models in C/C++ Integrate C/C++ models into CM POC, function prototypes PC CarMaker HDMI

32 Example Use Case: MiL ROS: Robot Operating System ROS is widely used for AV function development and POC Node 1 Node 2 ROS + CarMaker for virtual vehicle development Simulate the missing Vehicle environment Co-simulation: timing synchronization, closed-loop Straightforward data exchange between CarMaker and ROS

33 Using XiL to test Autonomous Vehicle Functions Enable Reuse across the entire Development Process Virtual Vehicle Prototype Hardwarein-the-Loop Vehiclein-the-Loop Model-inthe-Loop Softwarein-the-Loop Processorin-the-Loop Same simulation scenarios + evaluation criteria

34 Example Use Case: SiL Auto-code w/ Simulink to test C functions Simulink Function PC CarMaker C-code Validate behavior of auto-generated code The focus is on testing of the SW Code-coverage, types, etc. Enables back-to-back tests C-code HDMI

35 Example Use Case: SIL Using Functional Mock-up Interface 2.0 Share SW functions to/from suppliers without sharing the IP Seamless and easy integration of own or third-party models into CarMaker

36 Example Use Case: SiL HPC: High Performance Computing High Performance Computing (HPC) Cluster testing on remote servers Run thousands to millions of simulations in parallel GUI IPGMovie Custom APO Client Manage the test execution and results Host PC This is the mission-critical capability needed for AV SW validation SimCore 1 SimCore 2 SimCore 3 Supports 1 M+ mile overnight testing, to validate AV SW changes Run the same Virtual Vehicle and simulations already created Computer A SimCore 65 SimCore 66 SimCore 67 Use DOE approach to quickly create more tests Computer B Communication via network

37 Using XiL to test Autonomous Vehicle Functions Enable Reuse across the entire Development Process Virtual Vehicle Prototype Hardwarein-the-Loop Vehiclein-the-Loop Processorin-the-Loop Model-inthe-Loop Software-inthe-Loop Same simulation scenarios + evaluation criteria

38 Example Use Case: PiL Test Video Perception + Path Planning + Vehicle Control on Embedded HW PC USB USB to CAN Adaptor CAN ECU e.g. Nvidia Drive PX2 CarMaker VIB DVI GMSL Function under test HDMI AV performance testing on representative HW E.g. testing Neural-Net object detection algorithm on automotive embedded HW Test for faults generated by target compiler

39 Using XiL to test Autonomous Vehicle Functions Enable Reuse across the entire Development Process Virtual Vehicle Prototype Hardwarein-the-Loop Vehiclein-the-Loop Model-inthe-Loop Software-inthe-Loop Processorin-the-Loop Same simulation scenarios + evaluation criteria

40 Example Use Case: HiL PC TCP/UDP NI PXI RTPC CarMaker CAN, FlexRay, LIN, TCP/UDP ECU e.g. Nvidia Drive PX2 IPG Movie DVI VIB GMSL Function under test HDMI

41 CarMaker Runs on Different Hardware Platforms Function under test integrated in CarMaker HIL software as middleware running on Hardware platform (National Instruments PXI is fully supported)

42 CarMaker/HIL on National Instruments Hardware Fusion of leading technologies CarMaker Platform PXI Platform Supported NI SW IPG HW for NI FPGA-based IPG M- Module Fully PXI compatible Customized FPGA Sensor Simulation Camera Simulation NI PXI or NI PXIe realtime system LabVIEW Real-Time Module NI-CAN for direct CAN Access NI-XNET NI-VISA for IPG HW and USB access LabVIEW NI VeriStand VeriStand NI VeriStand Engine

43 Using XiL to test Autonomous Vehicle Functions Enable Reuse across the entire Development Process Virtual Vehicle Prototype Hardwarein-the-Loop Vehiclein-the-Loop Model-inthe-Loop Software-inthe-Loop Processorin-the-Loop Same simulation scenarios + evaluation criteria

44 Example Use Case: ViL 1. All embedded SW is running on a physical vehicle ECU(s) 1. PC is running Simulation scenarios to bypass physical vehicle sensor(s) 2. Test a physical vehicle on a real road, but with sensor input from simulation 1. Emergency braking today companies push test-dummies in front of moving cars 3. Enables final physical validation with minimal physical prototypes, leveraging the Simulation Scenarios

45 Example Use Case: ViL with Video Injection

46 Using XiL to test Autonomous Vehicle Functions Enable Reuse across the entire Development Process Virtual Vehicle Prototype Hardwarein-the-Loop Vehiclein-the-Loop Model-inthe-Loop Softwarein-the-Loop Processorin-the-Loop Same simulation scenarios + evaluation criteria

47 Using XiL to test Autonomous Vehicle Functions Enable Reuse across the entire Development Process Virtual Vehicle Prototype Same simulation scenarios + evaluation criteria

48 Use Virtual Vehicle Development across Domains What is needed to implement AV Virtual Vehicle Development for XiL? 1. Develop with a representative vehicle (virtual) from Day #1 1. Front-load development: reduce bugs and find them earlier 2. Share Virtual Vehicles and Simulation Scenarios across the V-cycle and different development domains 1. Requires a Vehicle Model database and Test Catalog 3. HPC is required to run the 1 M+ tests for releasing AV functions 1. Reuse the existing Virtual Vehicle and simulations 4. Higher quality, more mature SW earlier!

49 Testing automated driving functions using a flexible XIL approach Thank You!

Significant Reduction of Validation Efforts for Dynamic Light Functions with FMI for Multi-Domain Integration and Test Platforms

Significant Reduction of Validation Efforts for Dynamic Light Functions with FMI for Multi-Domain Integration and Test Platforms Significant Reduction of Validation Efforts for Dynamic Light Functions with FMI for Multi-Domain Integration and Test Platforms Dr. Stefan-Alexander Schneider Johannes Frimberger BMW AG, 80788 Munich,

More information

Virtual Testing of Autonomous Vehicles

Virtual Testing of Autonomous Vehicles Virtual Testing of Autonomous Vehicles Mike Dempsey Claytex Services Limited Software, Consultancy, Training Based in Leamington Spa, UK Office in Cape Town, South Africa Experts in Systems Engineering,

More information

Physics Based Sensor simulation

Physics Based Sensor simulation Physics Based Sensor simulation Jordan Gorrochotegui - Product Manager Software and Services Mike Phillips Software Engineer Restricted Siemens AG 2017 Realize innovation. Siemens offers solutions across

More information

Video Injection Methods in a Real-world Vehicle for Increasing Test Efficiency

Video Injection Methods in a Real-world Vehicle for Increasing Test Efficiency DEVELOPMENT SIMUL ATION AND TESTING Video Injection Methods in a Real-world Vehicle for Increasing Test Efficiency IPG Automotive AUTHORS For the testing of camera-based driver assistance systems under

More information

Using FMI/ SSP for Development of Autonomous Driving

Using FMI/ SSP for Development of Autonomous Driving Using FMI/ SSP for Development of Autonomous Driving presented by Jochen Köhler (ZF) FMI User Meeting 15.05.2017 Prague / Czech Republic H.M. Heinkel S.Rude P. R. Mai J. Köhler M. Rühl / A. Pillekeit Motivation

More information

Industrial Keynotes. 06/09/2018 Juan-Les-Pins

Industrial Keynotes. 06/09/2018 Juan-Les-Pins Industrial Keynotes 1 06/09/2018 Juan-Les-Pins Agenda 1. The End of Driving Simulation? 2. Autonomous Vehicles: the new UI 3. Augmented Realities 4. Choose your factions 5. No genuine AI without flawless

More information

Development & Simulation of a Test Environment for Vehicle Dynamics a Virtual Test Track Layout.

Development & Simulation of a Test Environment for Vehicle Dynamics a Virtual Test Track Layout. Development & Simulation of a Test Environment for Vehicle Dynamics a Virtual Test Track Layout. PhD.C. -Eng. Kmeid Saad 1 1 Introduction... 2 2 Vehicle Dynamic Libraries... 3 3 Virtual Driver... 3 4 ROAD...

More information

VSI Labs The Build Up of Automated Driving

VSI Labs The Build Up of Automated Driving VSI Labs The Build Up of Automated Driving October - 2017 Agenda Opening Remarks Introduction and Background Customers Solutions VSI Labs Some Industry Content Opening Remarks Automated vehicle systems

More information

Autonomous Automation: How do we get to a Million Miles of testing?

Autonomous Automation: How do we get to a Million Miles of testing? Autonomous Automation: How do we get to a Million Miles of testing? Jace Allen Business Development Manager Simulation, Test, and EEDM dspace Inc. 50131 Pontiac Trail Wixom, MI 48393 USA 1 Agenda 1. Intro

More information

Combining ROS and AI for fail-operational automated driving

Combining ROS and AI for fail-operational automated driving Combining ROS and AI for fail-operational automated driving Prof. Dr. Daniel Watzenig Virtual Vehicle Research Center, Graz, Austria and Institute of Automation and Control at Graz University of Technology

More information

CarSim/TruckSim/BikeSim Real-Time Hardware In the Loop Mechanical Simulation Corporation

CarSim/TruckSim/BikeSim Real-Time Hardware In the Loop Mechanical Simulation Corporation CarSim/TruckSim/BikeSim Real-Time Hardware In the Loop Mechanical Simulation Corporation www.carsim.com What is Hardware In the Loop (HIL)? Pure Simulation Software In the Loop (SIL) Plant Model Simulation

More information

MotionDesk. 3-D online animation of simulated mechanical systems in real time. Highlights

MotionDesk. 3-D online animation of simulated mechanical systems in real time. Highlights MotionDesk 3-D online animation of simulated mechanical systems in real time Highlights Tight integration to ModelDesk and ASM Enhanced support for all aspects of advanced driver assistance systems (ADAS)

More information

Link: https://www.springerprofessional.de/en/virtual-test-driving-hardware-independent-integration-of-series-/

Link: https://www.springerprofessional.de/en/virtual-test-driving-hardware-independent-integration-of-series-/ Link: https://www.springerprofessional.de/en/virtual-test-driving-hardware-independent-integration-of-series-/6429576 DEVELOPMENT SIMUL ATION VIRTUAL TEST DRIVING HARDWARE-INDEPENDENT INTEGRATION OF SERIES

More information

Method and Tools Specifications

Method and Tools Specifications Method and Tools Deliverable n. D1.3.2 Method and Tools Sub Project SP1 Requirements and Workpackage WP1.2 Requirements Task n. T1.3.2 Method and Tools Authors N. Pallaro A. Ghiro CRF CRF File name Status

More information

ADAS Development using Advanced Real-Time All-in-the-Loop Simulators. Roberto De Vecchi VI-grade Enrico Busto - AddFor

ADAS Development using Advanced Real-Time All-in-the-Loop Simulators. Roberto De Vecchi VI-grade Enrico Busto - AddFor ADAS Development using Advanced Real-Time All-in-the-Loop Simulators Roberto De Vecchi VI-grade Enrico Busto - AddFor The Scenario The introduction of ADAS and AV has created completely new challenges

More information

Virtual Validation with dspace Benefits the whole ECU development process

Virtual Validation with dspace Benefits the whole ECU development process www.dspace.com Virtual Validation with dspace Benefits the whole ECU development process Virtual Validation / Content Virtual Validation Virtual Validation 3 Definition of a Virtual ECU 4 Tool Chain for

More information

Virtual testing by coupling high fidelity vehicle simulation with microscopic traffic flow simulation

Virtual testing by coupling high fidelity vehicle simulation with microscopic traffic flow simulation DYNA4 with DYNAanimation in Co-Simulation with SUMO vehicle under test Virtual testing by coupling high fidelity vehicle simulation with microscopic traffic flow simulation Dr.-Ing. Jakob Kaths TESIS GmbH

More information

Virtual Homologation of Software- Intensive Safety Systems: From ESC to Automated Driving

Virtual Homologation of Software- Intensive Safety Systems: From ESC to Automated Driving Virtual Homologation of Software- Intensive Safety Systems: From ESC to Automated Driving Dr. Houssem Abdellatif Global Head Autonomous Driving & ADAS TÜV SÜD Auto Service Christian Gnandt Lead Engineer

More information

Virtual car models for handling and ride bridging off and on-line simulations

Virtual car models for handling and ride bridging off and on-line simulations Virtual car models for handling and ride bridging off and on-line simulations Dr.Harald Wilhelm, Simulation Fahrverhalten Audi AG Diego Minen, Technical Director VI-Grade Vehicle EPO Stuttgart 2009 1 VI-CarRealTime

More information

Real-Time Testing Made Easy with Simulink Real-Time

Real-Time Testing Made Easy with Simulink Real-Time Real-Time Testing Made Easy with Simulink Real-Time Andreas Uschold Application Engineer MathWorks Martin Rosser Technical Sales Engineer Speedgoat 2015 The MathWorks, Inc. 1 Model-Based Design Continuous

More information

The Building Blocks of Autonomous Control. Phil Magney, Founder & Principal Advisor July 2016

The Building Blocks of Autonomous Control. Phil Magney, Founder & Principal Advisor July 2016 The Building Blocks of Autonomous Control Phil Magney, Founder & Principal Advisor July 2016 Agenda VSI Remarks The Building Blocks of Autonomy Elements of Autonomous Control Motion Control (path, maneuver,

More information

23270: AUGMENTED REALITY FOR NAVIGATION AND INFORMATIONAL ADAS. Sergii Bykov Technical Lead Machine Learning 12 Oct 2017

23270: AUGMENTED REALITY FOR NAVIGATION AND INFORMATIONAL ADAS. Sergii Bykov Technical Lead Machine Learning 12 Oct 2017 23270: AUGMENTED REALITY FOR NAVIGATION AND INFORMATIONAL ADAS Sergii Bykov Technical Lead Machine Learning 12 Oct 2017 Product Vision Company Introduction Apostera GmbH with headquarter in Munich, was

More information

Behind the Test Challenges of Automotive Radar Systems

Behind the Test Challenges of Automotive Radar Systems Virtuelle Instrumente in der Praxis VIP 2017 Kurzfassung Behind the Test Challenges of Automotive Radar Systems David A. Hall National Instruments Corporation, Austin, USA Vor mehr als 50 Jahren, nämlich

More information

Applied Collaboration for the Virtualization of Roads and Customer Approval as Exemplified by a Brake Control System

Applied Collaboration for the Virtualization of Roads and Customer Approval as Exemplified by a Brake Control System Applied Collaboration for the Virtualization of Roads and Customer Approval as Exemplified by a Brake Control System Sven-Etienne Henschel, Rohan Deshetti Applied Collaboration for the Virtualization of

More information

COVER STORY. how this new architecture will help carmakers master the complexity of autonomous driving.

COVER STORY. how this new architecture will help carmakers master the complexity of autonomous driving. COVER STORY Semiconductors NXP ESTABLISHED AND NEW PLAYERS The era of self-driving cars places semiconductor companies at the center of important discussions about standards, methodologies, and design

More information

DLR s ROboMObil HIL Simulator Using FMI 2.0 Technology on dspace SCALEXIO Real-time Hardware. Andreas Pillekeit - dspace. Jonathan Brembeck DLR

DLR s ROboMObil HIL Simulator Using FMI 2.0 Technology on dspace SCALEXIO Real-time Hardware. Andreas Pillekeit - dspace. Jonathan Brembeck DLR DLR.de Chart 1 DLR s ROboMObil HIL Simulator Using FMI 2.0 Technology on dspace SCALEXIO Real-time Hardware FMI User Meeting at the Modelica Conference 2017 Jonathan Brembeck DLR Andreas Pillekeit - dspace

More information

PRODUCTS AND LAB SOLUTIONS

PRODUCTS AND LAB SOLUTIONS PRODUCTS AND LAB SOLUTIONS ENGINEERING FUNDAMENTALS NI ELVIS APPLICATION BOARDS Controls Board Energy Systems Board Mechatronic Systems Board with NI ELVIS III Mechatronic Sensors Board Mechatronic Actuators

More information

No. Crt Topic Titlte Topic Description Competence Area

No. Crt Topic Titlte Topic Description Competence Area No. Crt Topic Titlte Topic Description Competence Area Real-time intersection manager according to current traffic. Vehicles will transmit their planned route to the central intersection manager, outside

More information

TECHNICAL REPORT. NADS MiniSim Driving Simulator. Document ID: N Author(s): Yefei He Date: September 2006

TECHNICAL REPORT. NADS MiniSim Driving Simulator. Document ID: N Author(s): Yefei He Date: September 2006 TECHNICAL REPORT NADS MiniSim Driving Simulator Document ID: N06-025 Author(s): Yefei He Date: September 2006 National Advanced Driving Simulator 2401 Oakdale Blvd. Iowa City, IA 52242-5003 Fax (319) 335-4658

More information

Modeling and Simulation in Embedded Systems for Off-Highway Vehicles

Modeling and Simulation in Embedded Systems for Off-Highway Vehicles Modeling and Simulation in Embedded Systems for Off-Highway Vehicles By Jason Mowry, DISTek Integration, Inc. Abstract: Over the last decade, modeling and simulation has proven itself by providing an analytical

More information

A SERVICE-ORIENTED SYSTEM ARCHITECTURE FOR THE HUMAN CENTERED DESIGN OF INTELLIGENT TRANSPORTATION SYSTEMS

A SERVICE-ORIENTED SYSTEM ARCHITECTURE FOR THE HUMAN CENTERED DESIGN OF INTELLIGENT TRANSPORTATION SYSTEMS Tools and methodologies for ITS design and drivers awareness A SERVICE-ORIENTED SYSTEM ARCHITECTURE FOR THE HUMAN CENTERED DESIGN OF INTELLIGENT TRANSPORTATION SYSTEMS Jan Gačnik, Oliver Häger, Marco Hannibal

More information

Cruden Panthera simulator software suite

Cruden Panthera simulator software suite Cruden simulator software suite Automotive OEM departments and first tier companies, motorsport teams, universities and research institutes use Cruden simulators to significantly reduce the cost and time

More information

A Winning Combination

A Winning Combination A Winning Combination Risk factors Statements in this presentation that refer to future plans and expectations are forward-looking statements that involve a number of risks and uncertainties. Words such

More information

Cruden motion simulators for motorsport

Cruden motion simulators for motorsport Cruden motion simulators for motorsport Cruden supplies top level race teams and motorsport engineering companies with simulator hardware, software, vehicles models, tracks and projection systems. Cruden

More information

Success Story. An innovative HIL Test Bench to Validate Embedded SOCOMEC Inverter Software

Success Story. An innovative HIL Test Bench to Validate Embedded SOCOMEC Inverter Software An innovative HIL Test Bench to Validate Embedded SOCOMEC Inverter Software SOCOMEC is represented on 5 continents, either through direct affiliates or distributors. Thanks to its commitment to innovation,

More information

William Milam Ford Motor Co

William Milam Ford Motor Co Sharing technology for a stronger America Verification Challenges in Automotive Embedded Systems William Milam Ford Motor Co Chair USCAR CPS Task Force 10/20/2011 What is USCAR? The United States Council

More information

Hardware in the Loop Simulation for Unmanned Aerial Vehicles

Hardware in the Loop Simulation for Unmanned Aerial Vehicles NATIONAL 1 AEROSPACE LABORATORIES BANGALORE-560 017 INDIA CSIR-NAL Hardware in the Loop Simulation for Unmanned Aerial Vehicles Shikha Jain Kamali C Scientist, Flight Mechanics and Control Division National

More information

Software Computer Vision - Driver Assistance

Software Computer Vision - Driver Assistance Software Computer Vision - Driver Assistance Work @Bosch for developing desktop, web or embedded software and algorithms / computer vision / artificial intelligence for Driver Assistance Systems and Automated

More information

GNSS in Autonomous Vehicles MM Vision

GNSS in Autonomous Vehicles MM Vision GNSS in Autonomous Vehicles MM Vision MM Technology Innovation Automated Driving Technologies (ADT) Evaldo Bruci Context & motivation Within the robotic paradigm Magneti Marelli chose Think & Decision

More information

Mechanical Simulation. Advanced Vehicle Dynamics Solutions

Mechanical Simulation. Advanced Vehicle Dynamics Solutions Mechanical Simulation Advanced Vehicle Dynamics Solutions www.carsim.com Introduction Mechanical Simulation Corporation develops and distributes vehicle dynamics software tools for simulating the way cars

More information

Robotic System Simulation and Modeling Stefan Jörg Robotic and Mechatronic Center

Robotic System Simulation and Modeling Stefan Jörg Robotic and Mechatronic Center Robotic System Simulation and ing Stefan Jörg Robotic and Mechatronic Center Outline Introduction The SAFROS Robotic System Simulator Robotic System ing Conclusions Folie 2 DLR s Mirosurge: A versatile

More information

Time Triggered Protocol (TTP/C): A Safety-Critical System Protocol

Time Triggered Protocol (TTP/C): A Safety-Critical System Protocol Time Triggered Protocol (TTP/C): A Safety-Critical System Protocol Literature Review EE382c Fall 1999 Howard Curtis Global Technology Services MCC Robert France Global Software Division Motorola, Inc.

More information

Function architectures relevance in automotive research and education Bengt Jacobson, Chalmers

Function architectures relevance in automotive research and education Bengt Jacobson, Chalmers Function architectures relevance in automotive research and education Bengt Jacobson, Chalmers 1 Why and what is Function Architecture 2 Why architectures? A vehicle is a complex product but still affordable

More information

Intelligent driving TH« TNO I Innovation for live

Intelligent driving TH« TNO I Innovation for live Intelligent driving TNO I Innovation for live TH«Intelligent Transport Systems have become an integral part of the world. In addition to the current ITS systems, intelligent vehicles can make a significant

More information

MOBILE ROBOT LOCALIZATION with POSITION CONTROL

MOBILE ROBOT LOCALIZATION with POSITION CONTROL T.C. DOKUZ EYLÜL UNIVERSITY ENGINEERING FACULTY ELECTRICAL & ELECTRONICS ENGINEERING DEPARTMENT MOBILE ROBOT LOCALIZATION with POSITION CONTROL Project Report by Ayhan ŞAVKLIYILDIZ - 2011502093 Burcu YELİS

More information

Kinect Interface for UC-win/Road: Application to Tele-operation of Small Robots

Kinect Interface for UC-win/Road: Application to Tele-operation of Small Robots Kinect Interface for UC-win/Road: Application to Tele-operation of Small Robots Hafid NINISS Forum8 - Robot Development Team Abstract: The purpose of this work is to develop a man-machine interface for

More information

Testing in the Google car era Are we ready?

Testing in the Google car era Are we ready? Testing in the Google car era Are we ready? Prof. Massimo Violante Politecnico di Torino Dep. of Control and Computer Engineering Nicola Frisco TXT e-solutions Head of Simulation & Training Systems The

More information

Final Report Non Hit Car And Truck

Final Report Non Hit Car And Truck Final Report Non Hit Car And Truck 2010-2013 Project within Vehicle and Traffic Safety Author: Anders Almevad Date 2014-03-17 Content 1. Executive summary... 3 2. Background... 3. Objective... 4. Project

More information

Advancing Simulation as a Safety Research Tool

Advancing Simulation as a Safety Research Tool Institute for Transport Studies FACULTY OF ENVIRONMENT Advancing Simulation as a Safety Research Tool Richard Romano My Early Past (1990-1995) The Iowa Driving Simulator Virtual Prototypes Human Factors

More information

Model-Based Design as an Enabler for Supply Chain Collaboration

Model-Based Design as an Enabler for Supply Chain Collaboration CO-DEVELOPMENT MANUFACTURING INNOVATION & SUPPORT Model-Based Design as an Enabler for Supply Chain Collaboration Richard Mijnheer, CEO, 3T Stephan van Beek, Technical Manager, MathWorks Richard Mijnheer

More information

Cruden motion simulators for vehicle development and testing

Cruden motion simulators for vehicle development and testing Cruden motion simulators for vehicle development and testing Increasing numbers of automotive OEM departments, their suppliers and automotive research institutes are working with Cruden to significantly

More information

Simulationbased Development of ADAS and Automated Driving with the Help of Machine Learning

Simulationbased Development of ADAS and Automated Driving with the Help of Machine Learning Simulationbased Development of ADAS and Automated Driving with the Help of Machine Learning Dr. Andreas Kuhn A N D A T A München, 2017-06-27 2 Fields of Competence Artificial Intelligence Data Mining Big

More information

By Mark Hindsbo Vice President and General Manager, ANSYS

By Mark Hindsbo Vice President and General Manager, ANSYS By Mark Hindsbo Vice President and General Manager, ANSYS For the products of tomorrow to become a reality, engineering simulation must change. It will evolve to be the tool for every engineer, for every

More information

SAFETY CASES: ARGUING THE SAFETY OF AUTONOMOUS SYSTEMS SIMON BURTON DAGSTUHL,

SAFETY CASES: ARGUING THE SAFETY OF AUTONOMOUS SYSTEMS SIMON BURTON DAGSTUHL, SAFETY CASES: ARGUING THE SAFETY OF AUTONOMOUS SYSTEMS SIMON BURTON DAGSTUHL, 17.02.2017 The need for safety cases Interaction and Security is becoming more than what happens when things break functional

More information

CAPACITIES FOR TECHNOLOGY TRANSFER

CAPACITIES FOR TECHNOLOGY TRANSFER CAPACITIES FOR TECHNOLOGY TRANSFER The Institut de Robòtica i Informàtica Industrial (IRI) is a Joint University Research Institute of the Spanish Council for Scientific Research (CSIC) and the Technical

More information

Applications include: ADAS, chassis control, drivetrain, human machine interface and ergonomics.

Applications include: ADAS, chassis control, drivetrain, human machine interface and ergonomics. Advanced Vehicle Driving Simulator Applications include: ADAS, chassis control, drivetrain, human machine interface and ergonomics. Advanced Vehicle Driving Simulator (avds) Dynamic, immersive driving

More information

Inertial Sensors. Ellipse Series MINIATURE HIGH PERFORMANCE. Navigation, Motion & Heave Sensing IMU AHRS MRU INS VG

Inertial Sensors. Ellipse Series MINIATURE HIGH PERFORMANCE. Navigation, Motion & Heave Sensing IMU AHRS MRU INS VG Ellipse Series MINIATURE HIGH PERFORMANCE Inertial Sensors IMU AHRS MRU INS VG ITAR Free 0.1 RMS Navigation, Motion & Heave Sensing ELLIPSE SERIES sets up new standard for miniature and cost-effective

More information

Vehicle-in-the-loop: Innovative Testing Method for Cognitive Vehicles

Vehicle-in-the-loop: Innovative Testing Method for Cognitive Vehicles Dr.-Ing. Thomas Schamm, M.Sc. Marc René Zofka, Dipl.-Inf. Tobias Bär Technical Cognitive Assistance Systems FZI Research Center for Information Technology FZI FORSCHUNGSZENTRUM INFORMATIK Vehicle-in-the-loop:

More information

Measurement & Control of energy systems. Teppo Myllys National Instruments

Measurement & Control of energy systems. Teppo Myllys National Instruments Measurement & Control of energy systems Teppo Myllys National Instruments National Instruments Direct operations in over 50 Countries More than 1,000 products, 7000+ employees, and 700 Alliance Program

More information

Autonomous Vehicle Simulation (MDAS.ai)

Autonomous Vehicle Simulation (MDAS.ai) Autonomous Vehicle Simulation (MDAS.ai) Sridhar Lakshmanan Department of Electrical & Computer Engineering University of Michigan - Dearborn Presentation for Physical Systems Replication Panel NDIA Cyber-Enabled

More information

Vehicle Hardware-In-the-Loop System for ADAS Virtual Testing

Vehicle Hardware-In-the-Loop System for ADAS Virtual Testing 11 Vehicle Hardware-In-the-Loop System for ADAS Virtual Testing Romain Rossi, Clément Galko, Hariharan Narasimman and Xavier Savatier Univ. Rouen, UNIROUEN, ESIGELEC, IRSEEM 76000 Rouen, France 11.1 Introduction

More information

AUTOMOTIVE CONTROL SYSTEMS

AUTOMOTIVE CONTROL SYSTEMS AUTOMOTIVE CONTROL SYSTEMS This engineering textbook is designed to introduce advanced control systems for vehicles, including advanced automotive concepts and the next generation of vehicles for Intelligent

More information

Test And Validation: Coping With Complexity The state of play in vehicle software and system validation

Test And Validation: Coping With Complexity The state of play in vehicle software and system validation David Bailey, ETAS GmbH Test And Validation: Coping With Complexity The state of play in vehicle software and system validation 1 05.Jun.2008 Copyright 2004, ETAS GmbH LiveDevices Ltd. Vetronix Corp. All

More information

Developing an Embedded Digital Twin for HVAC Device Diagnostics

Developing an Embedded Digital Twin for HVAC Device Diagnostics Developing an Embedded Digital Twin for HVAC Device Diagnostics Gianluca Bacchiega R&D manager at I.R.S. ni.com Digital twins are becoming a business imperative, covering the entire lifecycle of an asset

More information

CS686: High-level Motion/Path Planning Applications

CS686: High-level Motion/Path Planning Applications CS686: High-level Motion/Path Planning Applications Sung-Eui Yoon ( 윤성의 ) Course URL: http://sglab.kaist.ac.kr/~sungeui/mpa Class Objectives Discuss my general research view on motion planning Discuss

More information

Qosmotec. Software Solutions GmbH. Technical Overview. QPER C2X - Car-to-X Signal Strength Emulator and HiL Test Bench. Page 1

Qosmotec. Software Solutions GmbH. Technical Overview. QPER C2X - Car-to-X Signal Strength Emulator and HiL Test Bench. Page 1 Qosmotec Software Solutions GmbH Technical Overview QPER C2X - Page 1 TABLE OF CONTENTS 0 DOCUMENT CONTROL...3 0.1 Imprint...3 0.2 Document Description...3 1 SYSTEM DESCRIPTION...4 1.1 General Concept...4

More information

Figure 1.1: Quanser Driving Simulator

Figure 1.1: Quanser Driving Simulator 1 INTRODUCTION The Quanser HIL Driving Simulator (QDS) is a modular and expandable LabVIEW model of a car driving on a closed track. The model is intended as a platform for the development, implementation

More information

SENLUTION Miniature Angular & Heading Reference System The World s Smallest Mini-AHRS

SENLUTION Miniature Angular & Heading Reference System The World s Smallest Mini-AHRS SENLUTION Miniature Angular & Heading Reference System The World s Smallest Mini-AHRS MotionCore, the smallest size AHRS in the world, is an ultra-small form factor, highly accurate inertia system based

More information

Copyright 2016 Rockwell Collins, Inc. All rights reserved. LVC for Autonomous Aircraft Systems Testing

Copyright 2016 Rockwell Collins, Inc. All rights reserved. LVC for Autonomous Aircraft Systems Testing LVC for Autonomous Aircraft Systems Testing Challenges - T&E of Autonomous A/C Regulatory Restrictions Desired test or demonstration context may not be available Flight Test Complexity More complex than

More information

National Instruments Accelerating Innovation and Discovery

National Instruments Accelerating Innovation and Discovery National Instruments Accelerating Innovation and Discovery There s a way to do it better. Find it. Thomas Edison Engineers and scientists have the power to help meet the biggest challenges our planet faces

More information

Simulation. à la carte. Model-based development boosts efficiency in the food service industry

Simulation. à la carte. Model-based development boosts efficiency in the food service industry PAGE 6 Simulation à la carte Model-based development boosts efficiency in the food service industry You re sitting in your favorite restaurant and looking forward to your meal. Will it live up to your

More information

High-Fidelity Modeling and Simulation of Ground Robots at ERDC Chris Goodin, Ph.D.

High-Fidelity Modeling and Simulation of Ground Robots at ERDC Chris Goodin, Ph.D. High-Fidelity Modeling and Simulation of Ground Robots at ERDC Chris Goodin, Ph.D. Research Physicist U.S. Army Engineer Research and Development Center Geotechnical and Structures Laboratory 21 June 2016

More information

Embracing Complexity. Gavin Walker Development Manager

Embracing Complexity. Gavin Walker Development Manager Embracing Complexity Gavin Walker Development Manager 1 MATLAB and Simulink Proven Ability to Make the Complex Simpler 1970 Stanford Ph.D. thesis, with thousands of lines of Fortran code 2 MATLAB and Simulink

More information

Inertial Sensors. Ellipse 2 Series MINIATURE HIGH PERFORMANCE. Navigation, Motion & Heave Sensing IMU AHRS MRU INS VG

Inertial Sensors. Ellipse 2 Series MINIATURE HIGH PERFORMANCE. Navigation, Motion & Heave Sensing IMU AHRS MRU INS VG Ellipse 2 Series MINIATURE HIGH PERFORMANCE Inertial Sensors IMU AHRS MRU INS VG ITAR Free 0.1 RMS Navigation, Motion & Heave Sensing ELLIPSE SERIES sets up new standard for miniature and cost-effective

More information

Volkswagen Group: Leveraging VIRES VTD to Design a Cooperative Driver Assistance System

Volkswagen Group: Leveraging VIRES VTD to Design a Cooperative Driver Assistance System Volkswagen Group: Leveraging VIRES VTD to Design a Cooperative Driver Assistance System By Dr. Kai Franke, Development Online Driver Assistance Systems, Volkswagen AG 10 Engineering Reality Magazine A

More information

Inertial Sensors. Ellipse 2 Series MINIATURE HIGH PERFORMANCE. Navigation, Motion & Heave Sensing IMU AHRS MRU INS VG

Inertial Sensors. Ellipse 2 Series MINIATURE HIGH PERFORMANCE. Navigation, Motion & Heave Sensing IMU AHRS MRU INS VG Ellipse 2 Series MINIATURE HIGH PERFORMANCE Inertial Sensors IMU AHRS MRU INS VG ITAR Free 0.1 RMS Navigation, Motion & Heave Sensing ELLIPSE SERIES sets up new standard for miniature and cost-effective

More information

THE NEXT WAVE OF COMPUTING. September 2017

THE NEXT WAVE OF COMPUTING. September 2017 THE NEXT WAVE OF COMPUTING September 2017 SAFE HARBOR Forward-Looking Statements Except for the historical information contained herein, certain matters in this presentation including, but not limited

More information

Energy autonomous wireless sensors: InterSync Project. FIMA Autumn Conference 2011, Nov 23 rd, 2011, Tampere Vesa Pentikäinen VTT

Energy autonomous wireless sensors: InterSync Project. FIMA Autumn Conference 2011, Nov 23 rd, 2011, Tampere Vesa Pentikäinen VTT Energy autonomous wireless sensors: InterSync Project FIMA Autumn Conference 2011, Nov 23 rd, 2011, Tampere Vesa Pentikäinen VTT 2 Contents Introduction to the InterSync project, facts & figures Design

More information

Prototyping Unit for Modelbased Applications

Prototyping Unit for Modelbased Applications PUMA Software and hardware at the highest level Prototyping Unit for Modelbased Applications With PUMA, we offer a compact and universal Rapid-Control-Prototyping-Platform optionally with integrated power

More information

Swarm Intelligence W7: Application of Machine- Learning Techniques to Automatic Control Design and Optimization

Swarm Intelligence W7: Application of Machine- Learning Techniques to Automatic Control Design and Optimization Swarm Intelligence W7: Application of Machine- Learning Techniques to Automatic Control Design and Optimization Learning to avoid obstacles Outline Problem encoding using GA and ANN Floreano and Mondada

More information

A flexible application framework for distributed real time systems with applications in PC based driving simulators

A flexible application framework for distributed real time systems with applications in PC based driving simulators A flexible application framework for distributed real time systems with applications in PC based driving simulators M. Grein, A. Kaussner, H.-P. Krüger, H. Noltemeier Abstract For the research at the IZVW

More information

HAVEit Highly Automated Vehicles for Intelligent Transport

HAVEit Highly Automated Vehicles for Intelligent Transport HAVEit Highly Automated Vehicles for Intelligent Transport Holger Zeng Project Manager CONTINENTAL AUTOMOTIVE HAVEit General Information Project full title: Highly Automated Vehicles for Intelligent Transport

More information

PerSEE: a Central Sensors Fusion Electronic Control Unit for the development of perception-based ADAS

PerSEE: a Central Sensors Fusion Electronic Control Unit for the development of perception-based ADAS 10-4 MVA2015 IAPR International Conference on Machine Vision Applications, May 18-22, 2015, Tokyo, JAPAN PerSEE: a Central Sensors Fusion Electronic Control Unit for the development of perception-based

More information

LEARNING FROM THE AVIATION INDUSTRY

LEARNING FROM THE AVIATION INDUSTRY DEVELOPMENT Power Electronics 26 AUTHORS Dipl.-Ing. (FH) Martin Heininger is Owner of Heicon, a Consultant Company in Schwendi near Ulm (Germany). Dipl.-Ing. (FH) Horst Hammerer is Managing Director of

More information

An Introduction To Modular Robots

An Introduction To Modular Robots An Introduction To Modular Robots Introduction Morphology and Classification Locomotion Applications Challenges 11/24/09 Sebastian Rockel Introduction Definition (Robot) A robot is an artificial, intelligent,

More information

Quanser Products and solutions

Quanser Products and solutions Quanser Products and solutions with NI LabVIEW From Classic Control to Complex Mechatronic Systems Design www.quanser.com Your first choice for control systems experiments For twenty five years, institutions

More information

ARCHITECTURE AND MODEL OF DATA INTEGRATION BETWEEN MANAGEMENT SYSTEMS AND AGRICULTURAL MACHINES FOR PRECISION AGRICULTURE

ARCHITECTURE AND MODEL OF DATA INTEGRATION BETWEEN MANAGEMENT SYSTEMS AND AGRICULTURAL MACHINES FOR PRECISION AGRICULTURE ARCHITECTURE AND MODEL OF DATA INTEGRATION BETWEEN MANAGEMENT SYSTEMS AND AGRICULTURAL MACHINES FOR PRECISION AGRICULTURE W. C. Lopes, R. R. D. Pereira, M. L. Tronco, A. J. V. Porto NepAS [Center for Teaching

More information

OFFensive Swarm-Enabled Tactics (OFFSET)

OFFensive Swarm-Enabled Tactics (OFFSET) OFFensive Swarm-Enabled Tactics (OFFSET) Dr. Timothy H. Chung, Program Manager Tactical Technology Office Briefing Prepared for OFFSET Proposers Day 1 Why are Swarms Hard: Complexity of Swarms Number Agent

More information

ADAS/AD Challenge. Copyright 2017, dspace GmbH

ADAS/AD Challenge. Copyright 2017, dspace GmbH ADAS/AD Challenge 2 dspace Automotive Simulation Models (ASM) for ADAS and AD Michael Peperhowe, Group Manager ASM VD & Traffic dspace GmbH Rathenaustr. 26 33102 Paderborn Germany 3 ASM Overview 4 ASM

More information

PoC #1 On-chip frequency generation

PoC #1 On-chip frequency generation 1 PoC #1 On-chip frequency generation This PoC covers the full on-chip frequency generation system including transport of signals to receiving blocks. 5G frequency bands around 30 GHz as well as 60 GHz

More information

5G R&D at Huawei: An Insider Look

5G R&D at Huawei: An Insider Look 5G R&D at Huawei: An Insider Look Accelerating the move from theory to engineering practice with MATLAB and Simulink Huawei is the largest networking and telecommunications equipment and services corporation

More information

A Model-Based Development Environment and Its Application in Engine Control

A Model-Based Development Environment and Its Application in Engine Control A Model-Based Development Environment and Its Application in Engine Control Shugang Jiang, Michael Smith, Charles Halasz A&D Technology Inc. ABSTRACT To meet the ever increasing requirements for engine

More information

A.I in Automotive? Why and When.

A.I in Automotive? Why and When. A.I in Automotive? Why and When. AGENDA 01 02 03 04 Definitions A.I? A.I in automotive Now? Next big A.I breakthrough in Automotive 01 DEFINITIONS DEFINITIONS Artificial Intelligence Artificial Intelligence:

More information

KÜNSTLICHE INTELLIGENZ JOBKILLER VON MORGEN?

KÜNSTLICHE INTELLIGENZ JOBKILLER VON MORGEN? KÜNSTLICHE INTELLIGENZ JOBKILLER VON MORGEN? Marc Stampfli https://www.linkedin.com/in/marcstampfli/ https://twitter.com/marc_stampfli E-Mail: mstampfli@nvidia.com INTELLIGENT ROBOTS AND SMART MACHINES

More information

Tsuyoshi Sato PIONEER CORPORATION July 6, 2017

Tsuyoshi Sato PIONEER CORPORATION July 6, 2017 Technology R&D for for Highly Highly Automated Automated Driving Driving Tsuyoshi Sato PIONEER CORPORATION July 6, 2017 Agenda Introduction Overview Architecture R&D for Highly Automated Driving Hardware

More information

Middleware and Software Frameworks in Robotics Applicability to Small Unmanned Vehicles

Middleware and Software Frameworks in Robotics Applicability to Small Unmanned Vehicles Applicability to Small Unmanned Vehicles Daniel Serrano Department of Intelligent Systems, ASCAMM Technology Center Parc Tecnològic del Vallès, Av. Universitat Autònoma, 23 08290 Cerdanyola del Vallès

More information

Digital Transformation. A Game Changer. How Does the Digital Transformation Affect Informatics as a Scientific Discipline?

Digital Transformation. A Game Changer. How Does the Digital Transformation Affect Informatics as a Scientific Discipline? Digital Transformation A Game Changer How Does the Digital Transformation Affect Informatics as a Scientific Discipline? Manfred Broy Technische Universität München Institut for Informatics ... the change

More information

e-navigation Underway International February 2016 Kilyong Kim(GMT Co., Ltd.) Co-author : Seojeong Lee(Korea Maritime and Ocean University)

e-navigation Underway International February 2016 Kilyong Kim(GMT Co., Ltd.) Co-author : Seojeong Lee(Korea Maritime and Ocean University) e-navigation Underway International 2016 2-4 February 2016 Kilyong Kim(GMT Co., Ltd.) Co-author : Seojeong Lee(Korea Maritime and Ocean University) Eureka R&D project From Jan 2015 to Dec 2017 15 partners

More information

ELECTRIC MOTION SPECIALISTS

ELECTRIC MOTION SPECIALISTS E2m technologies PRODUCT BROCHURE 2012/2013 MOTION SIMULATION - CONTROL FORCE SIMULATION ELECTRIC MOTION SPECIALISTS E2M PROFESSIONAL MOTION AND CONTROL FORCE SIMULATION WWW.E2MTECHNOLOGIES.EU - 2 APPLICATIONS

More information

Vision with Precision Webinar Series Augmented & Virtual Reality Aaron Behman, Xilinx Mark Beccue, Tractica. Copyright 2016 Xilinx

Vision with Precision Webinar Series Augmented & Virtual Reality Aaron Behman, Xilinx Mark Beccue, Tractica. Copyright 2016 Xilinx Vision with Precision Webinar Series Augmented & Virtual Reality Aaron Behman, Xilinx Mark Beccue, Tractica Xilinx Vision with Precision Webinar Series Perceiving Environment / Taking Action: AR / VR Monitoring

More information