MEMS Solutions For VR & AR

Similar documents
Inertial Sensors. Ellipse 2 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

Inertial Sensors. Ellipse 2 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

Sensor & motion algorithm software pack for STM32Cube

INERTIAL LABS SUBMINIATURE 3D ORIENTATION SENSOR OS3DM

FLCS V2.1. AHRS, Autopilot, Gyro Stabilized Gimbals Control, Ground Control Station

GPS-Aided INS Datasheet Rev. 2.7

OS3D-FG MINIATURE ATTITUDE & HEADING REFERENCE SYSTEM MINIATURE 3D ORIENTATION SENSOR OS3D-P. Datasheet Rev OS3D-FG Datasheet rev. 2.

High Performance Advanced MEMS Industrial & Tactical Grade Inertial Measurement Units

GPS-Aided INS Datasheet Rev. 3.0

Dynamic Angle Estimation

GPS-Aided INS Datasheet Rev. 2.6

3DM -CV5-10 LORD DATASHEET. Inertial Measurement Unit (IMU) Product Highlights. Features and Benefits. Applications. Best in Class Performance

3DM-GX4-45 LORD DATASHEET. GPS-Aided Inertial Navigation System (GPS/INS) Product Highlights. Features and Benefits. Applications

GPS-Aided INS Datasheet Rev. 2.3

EL6483: Sensors and Actuators

ASC IMU 7.X.Y. Inertial Measurement Unit (IMU) Description.

Micro-Technology for Positioning, Navigation and Timing

Motion Reference Units

Motion Reference Units

Recent Innovations in MEMS Sensors for PNT Applications

MTi 100-series The most accurate and complete MEMS AHRS and GPS/INS

IMU60 Inertial Measurement Unit

Inertial Systems. Ekinox Series TACTICAL GRADE MEMS. Motion Sensing & Navigation IMU AHRS MRU INS VG

Omni-Directional Catadioptric Acquisition System

Introduction to Mobile Sensing Technology

MTi 100-series The most accurate and complete MEMS AHRS and GPS/INS

HG4930 INERTIAL MEASUREMENT UNIT (IMU) Performance and Environmental Information

Lecture: Sensors , Fall 2008

Improved Pedestrian Navigation Based on Drift-Reduced NavChip MEMS IMU

Sensing. Autonomous systems. Properties. Classification. Key requirement of autonomous systems. An AS should be connected to the outside world.

MOBILE COMPUTING. Transducer: a device which converts one form of energy to another

MA1000 High Performance MEMS Capacitive Accelerometer

Speeding Up Revolution of Drones. December 2016

Unpredictable movement performance of Virtual Reality headsets

Introduction to Embedded Systems

HMD based VR Service Framework. July Web3D Consortium Kwan-Hee Yoo Chungbuk National University

Sensor system of a small biped entertainment robot

Range Sensing strategies

Capacitive Face Cushion for Smartphone-Based Virtual Reality Headsets


CENG 5931 HW 5 Mobile Robotics Due March 5. Sensors for Mobile Robots

Next Generation Biometric Sensing in Wearable Devices

Inertial Navigation System

Mobile Virtual Reality what is that and how it works? Alexey Rybakov, Senior Engineer, Technical Evangelist at DataArt

MEMS Sensors as enablers for IoTS Shanghai, 17 th of March 2014 百里博 / Leopold Beer Regional President Asia Pacific

SELECTING THE OPTIMAL MOTION TRACKER FOR MEDICAL TRAINING SIMULATORS

TOUCH & FEEL VIRTUAL REALITY. DEVELOPMENT KIT - VERSION NOVEMBER 2017

Study of MEMS Devices for Space Applications ~Study Status and Subject of RF-MEMS~

Geo-Located Content in Virtual and Augmented Reality

Surface Micromachining

SERIES VECTORNAV TACTICAL SERIES VN-110 IMU/AHRS VN-210 GNSS/INS VN-310 DUAL GNSS/INS

ANDROID APPS DEVELOPMENT FOR MOBILE GAME

On Attitude Estimation with Smartphones

Rocking Drones with Intentional Sound Noise on Gyroscopic Sensors

Data Collection: Sensors

High-Q and Wide Dynamic Range Inertial MEMS for North-Finding and Tracking Applications

Quartz Accelerometer AI-Q-710 Datasheet

Inertial Navigation System

DEVELOPMENT KIT - VERSION NOVEMBER Product information PAGE 1

CSE 165: 3D User Interaction. Lecture #7: Input Devices Part 2

MGA103 Single Axis MEMS Gyro with Triaxial Accelerometer

Products and solutions for Drones

MEMS Sensor Elements and their Fabrication

Technology Challenges and Opportunities in Indoor Location. Doug Rowitch, Qualcomm, San Diego

Development of intelligent systems

Smart Space - An Indoor Positioning Framework

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

Portfolio. Swaroop Kumar Pal swarooppal.wordpress.com github.com/swarooppal1088

ADMA. Automotive Dynamic Motion Analyzer with 1000 Hz. ADMA Applications. State of the art: ADMA GPS/Inertial System for vehicle dynamics testing

An Improved Version of the Fluxgate Compass Module V. Petrucha

POINTING ERROR CORRECTION FOR MEMS LASER COMMUNICATION SYSTEMS

Des MEMS aux NEMS : évolution des technologies et des concepts aux travers des développements menés au LETI

Integrated Navigation System

Indoor navigation with smartphones

PRODUCTS DOSSIER. / DEVELOPMENT KIT - VERSION NOVEMBER Product information PAGE 1

Introduction to Virtual Reality (based on a talk by Bill Mark)

H3-IMU High Performance Inertial Measurement Unit

LIS2L02AQ. INERTIAL SENSOR: 2Axis - 2g/6g LINEAR ACCELEROMETER 1 FEATURES 2 DESCRIPTION. Figure 1. Package

Reference Diagram IDG-300. Coriolis Sense. Low-Pass Sensor. Coriolis Sense. Demodulator Y-RATE OUT YAGC R LPY C LPy ±10% EEPROM TRIM.

Visione per il veicolo Paolo Medici 2017/ Visual Perception

Laser Speckle Reducer LSR-3000 Series

MG100 Single Axis MEMS Gyro

electronics for computer engineering (Sensor) by KrisMT Computer Engineering, ICT, University of Phayao

SPEEDBOX Technical Datasheet

Revisions Revision Date By Changes A 11 Feb 2013 MHA Initial release , Xsens Technologies B.V. All rights reserved. Information in this docum

Evaluation of a Low-cost MEMS Accelerometer for Distance Measurement

NovAtel SPAN and Waypoint GNSS + INS Technology

Inertial Systems. Ekinox 2 Series TACTICAL GRADE MEMS. Motion Sensing & Navigation IMU AHRS MRU INS VG

NavShoe Pedestrian Inertial Navigation Technology Brief

EEE 187: Robotics. Summary 11: Sensors used in Robotics

NovAtel SPAN and Waypoint. GNSS + INS Technology

GSP303D 3-Axis Digital Magnetic Field Transmitter

Sensor Fusion for Navigation in Degraded Environements

Integration of Inertial Measurements with GNSS -NovAtel SPAN Architecture-

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

Robotic Vehicle Design

Head Tracking for Google Cardboard by Simond Lee

Hardware-free Indoor Navigation for Smartphones

Transcription:

MEMS Solutions For VR & AR Sensor Expo 2017 San Jose June 28 th 2017

MEMS Sensors & Actuators at ST 2 Motion Environmental Audio Physical change Sense Electro MEMS Mechanical Signal Mechanical Actuate Electric Fluidic Micro-actuators Piezo actuators Micro Mirrors

ST as MEMS Sensor & Actuators Supplier 3 Market-proven Manufacturing Technologies Front-End / Back-End/ Testing & Calibration High Volume Manufacturing Expertise in multi-sensor Integration Leading Smart Functions Integration Key Partnerships in product development

20 Years of MEMS Sensors & Actuators 4 ST Innovations SENSING Accelerometer Gyroscope Inertial module Pressure sensor Microphones UV sensor Humidity sensor GAS & VOC 2000 2005 2008 2010 2012 2013 2014 2015 2017 Fluidic Microactuators ACTUATINGMicro Mirrors Piezo actuators

20 Years of MEMS Sensors & Actuators 5 And Some Iconic Products SENSING 2000 2005 2008 2010 2012 2013 2014 2015 2017 ACTUATING

* Thick Epi-Poly Layer for Microactuators and Accelerometers ** VENice SENSor MEMS Sensors & Actuators 6 ST Key Technologies - Enabling Multiple Applications Sensors Actuators + ThELMA* AMR - MAG Piezo-Electric Electrostatic VENSENS** Bastille Cactus Thermal Electro-magnetic

Changing the MEMS Landscape 7 Strategic Partnerships Piezo Autofocus Ultrasound Ranging MEMS Loudspeaker Micro-mirror Projection

What is a MEMS μmirror Scanner? 8 Tiny reflective mechanical device that swings at a given frequency Applications spanning Visible to Invisible (IR typically) light

Laser Beam Scanning (LBS) 9 Technology Principles and Applications Principles: Light from one/multiple lasers is combined into a single beam Beam is relayed onto MEMS scanning mirror(s) Mirror(s) scan the beam in a raster pattern A projected image is created by modulating the lasers synchronously with the position of the scanned beam Green LD Red LD Blue LD MEMS scanning mirror

Laser Beam Scanning (LBS) 10 Technology Principles and Applications Principles: Light from one/multiple lasers is combined into a single beam Beam is relayed onto MEMS scanning mirror(s) Mirror(s) scan the beam in a raster pattern A projected image is created by modulating the lasers synchronously with the position of the scanned beam Applications: Pico-projection and heads-up display (HUD) Virtual and Augmented Reality (VR, AR) 3D Sensing and Advanced Driver Assistance Systems (ADAS)

New Applications Driven by Accuracy 11 Accuracy NAVIGATION PDR AUTONOMOUS DRIVING VIRTUAL & AUGMENTED OPTICAL IMAGE STABILIZATION REALITY Movement TGT 1 m <20 cm 10 cm <10 cm Noise Bias Instability Random Walk Stab vs. temp Arm Swing, Max error 1 m Total Distance 250 m Off & Sens tolerance

LSM6DSM 12 Google Daydream and Tango Certified http://www.st.com/content/st_com/en/about/media-center/press-item.html/t3874.html

STEVAL-STLKT01V1 SensorTile 13 IoT Design Lab on the tip of a pencil BLE Microphone MCU IMU Compass Pressure Sensor

STEVAL-STLKT01V1 SensorTile 14 IoT Design Lab on the tip of a pencil MP34DT04 BlueNRG-MS STM32L476 LPS22HB LSM303AGR LSM6DSM

MEMS Solutions For VR & AR Demo Details Sensor Expo 2017 San Jose June 28 th 2017

Virtual Reality (VR) Demo Provides real sense of presence & immersive experience using SensorTile Showcases low noise, drift and current consumption of our sensors (6X: LSM6DSL) and ST Sensor Fusion algorithms. MotionFx and ST MEMS sensors performances allow Low latency ( < 6 ms) to overcome motion sickness. Demo to be conducted with Google Pixel phone, SensorTile and Google Cardboard. SensorTile is connected to mobile device using USB and motionfx is running on SensorTile. SensorTile solid with CardBoard sends Sensor Fusion data Cardboard USB Android 7.0 Mobile running VR Reality App STEVAL-STLKT01V1 mounting: LSM6DSM / A + G LSM30AGR / A+M STM32L476 / MCU

VR: Basic Requirements for Sensors Minimum recommended sampling frequency for both Gyro and Accelerometer is 200Hz Low-Pass Filter cutoff is 30Hz for accelerometer and 50Hz for Gyro. For headset device, the head movement frequency spectrum must be acquired in entirety. Accelerometer bandwidth can be lower because we are not integrating acceleration. In Pixel Phone (Google Daydream) Gyro and Accelerometer can reach 400Hz maximum (Android N implementation).

Communication between Phone and SensorTile; System Architecture Phone Kernel needs to support Serial Communication over USB (ACM_CDC); Data is sent from SensorTile to Phone over USB; Algorithm used to achieve for common timebase for timestamping sensor data SensorTile and Phone; Sensor HAL receives data from USB and sync timestamps. Cardboard SensorTile solid with CardBoard sends Sensors and Fusion data USB Timestamp sync algo Android 7.0 Mobile running VR Reality App; HAL Layer

Android Device Requirements for VR MUST have at least 2 physical cores MUST support sustained performance mode. MUST provide an exclusive core to the foreground application The kernel must support cpusets and corethread affinity MUST support the Process.getExclusiveCores API to return the numbers of the cpu cores that are exclusive to the top foreground application. This core MUST not allow any other userspace processes to run on it (except device drivers used by the application), but MAY allow some kernel processes to run as necessary. Source: https://source.android.com/devices/tech/power/performance.html

Requirements for VR (Sensor Performance) Device implementations: are STRONGLY RECOMMENDED to support android.hardware.sensor.hifi_sensors feature MUST meet the gyroscope-, accelerometer-, and magnetometer-related requirements for android.hardware.hifi_sensors.

LSM6DSM is Daydream and Tango certified Android N HiFi sensor specifications cover the Tango specs LSM6DSM 21 Best-in-class 6-axis IMU GYRO Parameter Value LSM6DSM Stationary Bias Stability < 0.0002 /s * Hz from 24-hour static dataset Bias change vs. temp +/- 0.05 / s / C Best-Fit line Non-Linearity 0.2% Sensitivity change vs. temp 0.02% / C Noise Density 0.07 /s/ Hz XL Parameter Value LSM6DSM Stationary Noise Bias Stability <15 μg * Hz from 24hr static dataset Bias change vs. temp +/- 1mg / C Best-Fit line Non-Linearity 0.5% Sensitivity change vs. temp 0.03%/C

Thank you