P1.4. Light has to go where it is needed: Future Light Based Driver Assistance Systems
|
|
- Amelia Blankenship
- 5 years ago
- Views:
Transcription
1 Light has to go where it is needed: Future Light Based Driver Assistance Systems Thomas Könning¹, Christian Amsel¹, Ingo Hoffmann² ¹ Hella KGaA Hueck & Co., Lippstadt, Germany ² Hella-Aglaia Mobile Vision GmbH, Berlin, Germany Keywords: Driver assistance systems, Lighting systems, Light based driver assistance systems, camera technology, Image processing technology 1 Abstract To approach the vision of an optimum sight at night, the first light based driver assistance systems have been developed and introduced into the market. Examples are infrared night vision systems, high beam assists and full adaptive front lighting systems (AFS), like the ILS (Intelligent Light System) from Daimler Chrysler's E-Class. Future light based driver assistance systems do not only adapt the light distribution automatically to the street and weather conditions, furthermore, those systems adapt its lighting distributions to the actual traffic situation. Those systems base upon the interaction of CMOS image sensors with an image processing unit and state-of-the-art lighting technology. The Adaptive Cut-Off Line System from Hella will be the first camera- and lightbased driver assistance system. It controls the vehicle lighting with the goal of the maximum possible range and from there the optimum driver sight. This will be achieved with the adaptation of the low beam to oncoming and preceding traffic participants. The result is, that the low beam doesn't end at approximately 65 meters like today but increases up to a range of a couple of hundred meters in best cases without any dazzle of other traffic participants, because the beam ends always at their vehicles. The light distribution will be generated by light electronic components and variable light projection type modules like the Hella VarioX system, presently the strongest Xenon light in the automotive market.
2 Figure 1: Light based driver assistance: an interaction of camera, image processing and lighting technology In future, further more light based driver assistance systems like glare-free high beam or marking light will introduce into the market. For these applications LEDarrays are the most promising technology. Backed by image processing they are able to address particular segments, with the result of inhibiting any glare to other traffic-participants (glare-free high beam) or, inverse, a spotlight aimed to pedestrians and other dark but relevant objects (marking light). 2 Camera-controlled headlamps revolutionize lighting technology 2.1 Adaptive Cut-off line system Optimum road-space illumination for the driver, while avoiding non-permitted dazzling of other road-users, is the task of light-based driver assistance systems.
3 Optimum customer benefit is achieved when the car driver can take in as much information as possible without being burdened with additional tasks. This includes adaptive and assistive light control on the basis of camera-based pedestrian and object detection. The first camera-controlled headlamp systems will be launched by Hella in The further development of vehicle frontlighting from static to dynamic systems is now a reality. The first such system, namely dynamic bend lighting, was launched in In bends, this almost doubles the range of the low beam, and therefore the visual range of the driver. The next step, which is already in series production, is the Advanced Frontlighting System (AFS), based on Hella's VarioX headlamp module. Above all, the headlamp light illuminates the road space according to speed, weather and the road. This means that it is a true driver assistance system and, on the basis of the current legal AFS regulation, represents the pinnacle of today s headlamp technology. Light-based driver assistance systems of the future go even further: They automatically adapt their light distribution not only to the road and weather conditions, but also to the respective traffic situation. They are based on the interaction of image-producing sensors, powerful software for image processing, and state-of-the-art lighting technology. The first light-based driver assistance system to be controlled by image data will be the adaptive cut-off line. The system always sets the range of the AFS headlamps such that the driver has optimum visibility with the longest range possible. This is achieved through the adaptation of the headlamp range to preceding or oncoming motor vehicles. This means that the low beam does not stop, as is usually the case today, at around 65 meters on the oncoming lane, but rather that it can, in extreme cases, be increased to several hundred meters. In addition to the maximum possible visual range for the driver, dazzling of other road-users is, at the same time, impossible, as the headlamp cone always ends at their vehicles [1]. If the image-processing system does not detect any road-users, the system can provide the driver with light up to the high-beam level. As soon as the camera
4 detects other road-users at up to a distance of approximately 800 meters, the range of the headlamps is adapted accordingly within milliseconds. Figure 2: Benefit of an Adaptive Cut-off line System 2.2 With the VarioX module toward glare-free high beam The lighting technology basis of AFS is the VarioX projection module from Hella. Between the light source and the projection lens there is a drum which is rotatable on bearings and which is contoured according to the AFS light distributions. Using a stepper motor, it is rotated to the respectively required position within milliseconds. Glare-free high beam follows the premise that the car driver travels almost constantly with high beam switched on. If road-users who are in danger of being dazzled appear in the road space, those portions of the high-beam light distribution that could cause a problem to others are automatically faded out.
5 This can be realized technically through special contouring of the rotatable drum in the VarioX projection module. This means that areas in the high beam can be omitted. On the basis of the image data and through intelligent adjustment of the VarioX modules, oncoming traffic is thus faded out. For the driver, however, the high-beam light distribution is almost maintained, while the visual range is considerably increased in comparison with current systems. Figure 3: VarioX -Module 2.3 Marking light illuminates people and points of danger in a specific manner The marking light is a further innovation in the field of light-based driver assistance system and behaves in exactly the opposite manner to glare-free high beam: Using an AFS light distribution as a basis, people and points of danger are
6 illuminated in a specific manner. The driver is able not only to discern them considerably earlier but also consciously detects them and can adapt his or her driving behavior accordingly in time. This innovation, which is currently under development, is realized on the basis of so-called LED arrays. While, to date, the strengths of LED headlamps have been above all in the areas of light color and styling, the technical potential of the next generation is in LED segments which can be triggered individually. 2.4 The future belongs to multi-function cameras Currently, a market is coming into being for light-based driver assistance systems which rely on cameras and which, in terms of function, stand out considerably from systems already known (such as lane recognition or night vision on the basis of simply one sensor). Hella is already working on multi-function camera systems with which several functions can be combined, such as lane recognition or traffic-sign recognition and adaptive cut-off line. Further added value is created through the fusion of the data of camera systems and other vehicle sensors. Thus, Hella is pursuing concepts in order to realize an ACC stop & go system (deceleration to a standstill and moving-off initiated by the driver) with the aid of the ACC lidar sensor (lidar = light detection and ranging, based on infrared technology) and a camera. Today, such a system is realized with the aid of up to three radar sensors. In order to meet this demanding requirement it makes sense, that both camera approaches, monocular and stereo, pursued. By exploiting depth information, stereo vision opens up spatial vision and therefore makes a significant contribution to object classification. Hella achieves increased availability of assistance systems at night with the aid of modern infrared technology, which, even today, is the basis of active nightvision systems. Infrared technology allows a high-beam distribution to be generated which is invisible to humans but which is useable for corresponding cameras. In addition to night-vision systems, other assistance systems, from lane
7 or traffic-sign recognition to assistive light (glare-free high beam and marking light), can thus also be supported in an optimum manner. 2.5 Image processing as a key technology for driver assistance At the present time, radar systems are used in luxury cars to recognize surrounding vehicles and obstacles. Comfort systems like ACC or safety-relevant systems like pre-crash sensors or emergency brakes have been installed and are already in use. These systems are based on new sensor technology providing information not only about scenes inside the car but also about the periphery surrounding and ahead. Using this information, the car is able to warn the driver, to suggest alternatives in critical situations, to prepare its security systems for a crash or to take over the control to actively avoid collisions. To reliably perform these tasks, it is necessary to get as much information as possible about the course of the road and all relevant obstacles, i.e. vehicles, pedestrians, animals, trees, buildings and others. All these obstacles have to be detected and tracked up to a distance determined by the assistance system, providing information about their position, size, speed and thread potential. When the classification is confident about these parameters, it is possible to deduce actions and to provide this information to special driver assistance systems. Since traffic infrastructure is designed for visual perception, some tasks like traffic sign recognition or lane detection need a camera system to be fulfilled. Furthermore, object detection and classification tasks can be solved with a camera as well, since it provides very dense spatial and temporal information. Here the visual system is superior to sampling technologies like radar supplying just a few distance measurements with poor lateral accuracy. Another point is an increase of covering range. Here the active radar system has to boost the radiation to be emitted, where the image processing algorithms have to become more sophisticated and the camera has to be featured with higher resolution and sensitivity. But no radiation at all is emitted. This way interference of cars equipped with this assistance system is excluded. Last but not least, the enhancement of any hardware used benefits from the booming customer mass market regarding imager and processing hardware, since no separate technology is used.
8 To provide an Adaptive cut-off line assistant it is necessary to detect any traffic participant at night up to a distance of 800 meters. In a first step the image processing detects any light source in the field of view. In parallel the egomotion of the subject vehicle is recovered. Subsequent modeling steps extract a set of attributes of the observed lights. This way a detailed model is established and tracked over time providing enough information to perform an in-depth classification. As a result it is possible to differentiate between headlamps, rear lamps, street lamps, advertising, reflectors and so on. The last step selects the adequate light distribution providing as much light as possible regarding the current traffic situation. This distribution gets signaled to the vehicle s headlamps without any interaction with the driver. A high beam distribution is chosen when no relevant object is detected. Figure 4: Image taken by a front camera at night time (a), after the classification of objects (b) and the internal modelling of the traffic situation (c)
9 3 Vision: Halving of road fatalities by 2010 The continuous further development of light-based driver assistance systems is accompanied by the European Union s esafety action program for road safety, with the objective of halving the number of road fatalities by Driver assistance systems from Hella based on the recording and analysis of the vehicle surroundings will make an important contribution to this. According to studies by the German ministry of transport, such systems would have a preventive effect on more than 50 percent of all accidents. Reference [1] Kesseler, W., Könning, T., Amsel, C.: From camera based night vision systems to lighting driver assistant systems; VDI-Tagung Optische Technologien in der Fahrzeugtechnik, VDI-Verlag, 2006
Lighting Technology. Technical Information
Hella KGaA Hueck & Co., Lippstadt 9Z2 999 127-125 Printed in Germany Lighting Technology Hella KGaA Hueck & Co. Rixbecker Straße 75 D-59552 Lippstadt/Germany Ph. + 49 29 41 38-0 Fax + 49 29 41 38-71 33
More informationChoosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles
Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles Ali Osman Ors May 2, 2017 Copyright 2017 NXP Semiconductors 1 Sensing Technology Comparison Rating: H = High, M=Medium,
More informationFLASH LiDAR KEY BENEFITS
In 2013, 1.2 million people died in vehicle accidents. That is one death every 25 seconds. Some of these lives could have been saved with vehicles that have a better understanding of the world around them
More informationSIS63-Building the Future-Advanced Integrated Safety Applications: interactive Perception platform and fusion modules results
SIS63-Building the Future-Advanced Integrated Safety Applications: interactive Perception platform and fusion modules results Angelos Amditis (ICCS) and Lali Ghosh (DEL) 18 th October 2013 20 th ITS World
More informationEvaluation of Connected Vehicle Technology for Concept Proposal Using V2X Testbed
AUTOMOTIVE Evaluation of Connected Vehicle Technology for Concept Proposal Using V2X Testbed Yoshiaki HAYASHI*, Izumi MEMEZAWA, Takuji KANTOU, Shingo OHASHI, and Koichi TAKAYAMA ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
More informationDevelopment of Gaze Detection Technology toward Driver's State Estimation
Development of Gaze Detection Technology toward Driver's State Estimation Naoyuki OKADA Akira SUGIE Itsuki HAMAUE Minoru FUJIOKA Susumu YAMAMOTO Abstract In recent years, the development of advanced safety
More informationWhite paper on CAR150 millimeter wave radar
White paper on CAR150 millimeter wave radar Hunan Nanoradar Science and Technology Co.,Ltd. Version history Date Version Version description 2017-02-23 1.0 The 1 st version of white paper on CAR150 Contents
More informationWhite paper on CAR28T millimeter wave radar
White paper on CAR28T millimeter wave radar Hunan Nanoradar Science and Technology Co., Ltd. Version history Date Version Version description 2017-07-13 1.0 the 1st version of white paper on CAR28T Contents
More informationVolkswagen 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 informationDriver Education Classroom and In-Car Curriculum Unit 3 Space Management System
Driver Education Classroom and In-Car Curriculum Unit 3 Space Management System Driver Education Classroom and In-Car Instruction Unit 3-2 Unit Introduction Unit 3 will introduce operator procedural and
More informationRoadway Glare & Reflection Technical Data
PARAGLAS SOUNDSTOP noise barrier sheet Roadway Glare & Reflection Technical Data Technical Overview The purpose of this Technical Brief is to discuss reflective glare relative to PARAGLAS SOUNDSTOP noise
More informationAdvances in Vehicle Periphery Sensing Techniques Aimed at Realizing Autonomous Driving
FEATURED ARTICLES Autonomous Driving Technology for Connected Cars Advances in Vehicle Periphery Sensing Techniques Aimed at Realizing Autonomous Driving Progress is being made on vehicle periphery sensing,
More informationVirtual 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 informationPerception platform and fusion modules results. Angelos Amditis - ICCS and Lali Ghosh - DEL interactive final event
Perception platform and fusion modules results Angelos Amditis - ICCS and Lali Ghosh - DEL interactive final event 20 th -21 st November 2013 Agenda Introduction Environment Perception in Intelligent Transport
More informationDevelopment of a 24 GHz Band Peripheral Monitoring Radar
Special Issue OneF Automotive Technology Development of a 24 GHz Band Peripheral Monitoring Radar Yasushi Aoyagi * In recent years, the safety technology of automobiles has evolved into the collision avoidance
More informationWhite paper on SP25 millimeter wave radar
White paper on SP25 millimeter wave radar Hunan Nanoradar Science and Technology Co.,Ltd. Version history Date Version Version description 2016-08-22 1.0 the 1 st version of white paper on SP25 Contents
More informationTEPZZ _79748A_T EP A1 (19) (11) EP A1 (12) EUROPEAN PATENT APPLICATION. (51) Int Cl.: H04W 4/04 ( ) B60Q 1/00 (2006.
(19) TEPZZ _79748A_T (11) EP 3 179 748 A1 (12) EUROPEAN PATENT APPLICATION (43) Date of publication: 14.06.17 Bulletin 17/24 (1) Int Cl.: H04W 4/04 (09.01) B60Q 1/00 (06.01) (21) Application number: 119834.9
More informationMaking Vehicles Smarter and Safer with Diode Laser-Based 3D Sensing
Making Vehicles Smarter and Safer with Diode Laser-Based 3D Sensing www.lumentum.com White Paper There is tremendous development underway to improve vehicle safety through technologies like driver assistance
More informationEvaluation of High Intensity Discharge Automotive Forward Lighting
Evaluation of High Intensity Discharge Automotive Forward Lighting John van Derlofske, John D. Bullough, Claudia M. Hunter Rensselaer Polytechnic Institute, USA Abstract An experimental field investigation
More informationFORESIGHT AUTONOMOUS HOLDINGS NASDAQ/TASE: FRSX. Investor Conference. December 2018
FORESIGHT AUTONOMOUS HOLDINGS NASDAQ/TASE: FRSX Investor Conference December 2018 Forward-Looking Statement This presentation of Foresight Autonomous Holdings Ltd. (the Company ) contains forward-looking
More informationRevision of the EU General Safety Regulation and Pedestrian Safety Regulation
AC.nl Revision of the EU General Safety Regulation and Pedestrian Safety Regulation 11 September 2018 ETSC isafer Fitting safety as standard Directorate-General for Internal Market, Automotive and Mobility
More informationinteractive IP: Perception platform and modules
interactive IP: Perception platform and modules Angelos Amditis, ICCS 19 th ITS-WC-SIS76: Advanced integrated safety applications based on enhanced perception, active interventions and new advanced sensors
More informationEG 1 Millimeter-wave & Integrated Antennas
EuCAP 2010 ARTIC Workshop 5-12 July, San Diego, California EG 1 Millimeter-wave & Integrated Antennas Ronan SAULEAU Ronan.Sauleau@univ-rennes1.fr IETR (Institute of Electronics and Telecommunications,
More informationAutonomous driving technology and ITS
Autonomous driving technology and ITS 10 March 2016 Sophia Antipolis, France Takanori MASHIKO Deputy Director, New-Generation Mobile Communications Office, Radio Dept., Telecommunications Bureau, Ministry
More informationEvaluation based on drivers' needs analysis
Evaluation based on drivers' needs analysis Pierre Van Elslande (IFSTTAR) DaCoTA EU Conference On Road Safety data and knowledge-based Policy-making Athens, 22 23 November 2012 Project co-financed by the
More informationOur focus is innovating security where you need it most. Smoother traffic flow - Better image quality - Higher efficiency
Our focus is innovating security where you need it most Smoother traffic flow - Better image quality - Higher efficiency Smoother traffic flow 2 Efficient use of your road network through intelligent camera-based
More informationDeveloping a New Type of Light System in an Automobile and Implementing Its Prototype. on Hazards
page Seite 12 KIT Developing a New Type of Light System in an Automobile and Implementing Its Prototype Spotlight on Hazards An innovative new light function offers motorists more safety and comfort during
More informationDriver Assistance Systems (DAS)
Driver Assistance Systems (DAS) Short Overview László Czúni University of Pannonia What is DAS? DAS: electronic systems helping the driving of a vehicle ADAS (advanced DAS): the collection of systems and
More informationRicoh's Machine Vision: A Window on the Future
White Paper Ricoh's Machine Vision: A Window on the Future As the range of machine vision applications continues to expand, Ricoh is providing new value propositions that integrate the optics, electronic
More informationNew Automotive Applications for Smart Radar Systems
New Automotive Applications for Smart Radar Systems Ralph Mende*, Hermann Rohling** *s.m.s smart microwave sensors GmbH Phone: +49 (531) 39023 0 / Fax: +49 (531) 39023 58 / ralph.mende@smartmicro.de Mittelweg
More informationIntelligent 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 informationA VIDEO CAMERA ROAD SIGN SYSTEM OF THE EARLY WARNING FROM COLLISION WITH THE WILD ANIMALS
Vol. 12, Issue 1/2016, 42-46 DOI: 10.1515/cee-2016-0006 A VIDEO CAMERA ROAD SIGN SYSTEM OF THE EARLY WARNING FROM COLLISION WITH THE WILD ANIMALS Slavomir MATUSKA 1*, Robert HUDEC 2, Patrik KAMENCAY 3,
More informationSilicon radars and smart algorithms - disruptive innovation in perceptive IoT systems Andy Dewilde PUBLIC
Silicon radars and smart algorithms - disruptive innovation in perceptive IoT systems Andy Dewilde PUBLIC Fietser in levensgevaar na ongeval met vrachtwagen op Louizaplein Het Laatste Nieuws 16/06/2017
More informationTransportation Informatics Group, ALPEN-ADRIA University of Klagenfurt. Transportation Informatics Group University of Klagenfurt 3/10/2009 1
Machine Vision Transportation Informatics Group University of Klagenfurt Alireza Fasih, 2009 3/10/2009 1 Address: L4.2.02, Lakeside Park, Haus B04, Ebene 2, Klagenfurt-Austria Index Driver Fatigue Detection
More informationThe Design and Assessment of Attention-Getting Rear Brake Light Signals
University of Iowa Iowa Research Online Driving Assessment Conference 2009 Driving Assessment Conference Jun 25th, 12:00 AM The Design and Assessment of Attention-Getting Rear Brake Light Signals M Lucas
More informationA NEW NEUROMORPHIC STRATEGY FOR THE FUTURE OF VISION FOR MACHINES June Xavier Lagorce Head of Computer Vision & Systems
A NEW NEUROMORPHIC STRATEGY FOR THE FUTURE OF VISION FOR MACHINES June 2017 Xavier Lagorce Head of Computer Vision & Systems Imagine meeting the promise of Restoring sight to the blind Accident-free autonomous
More informationAutomotive Needs and Expectations towards Next Generation Driving Simulation
Automotive Needs and Expectations towards Next Generation Driving Simulation Dr. Hans-Peter Schöner - Insight fromoutside -Consulting - Senior Automotive Expert, Driving Simulation Association September
More informationIsrael Railways No Fault Liability Renewal The Implementation of New Technological Safety Devices at Level Crossings. Amos Gellert, Nataly Kats
Mr. Amos Gellert Technological aspects of level crossing facilities Israel Railways No Fault Liability Renewal The Implementation of New Technological Safety Devices at Level Crossings Deputy General Manager
More informationVisione per il veicolo Paolo Medici 2017/ Visual Perception
Visione per il veicolo Paolo Medici 2017/2018 02 Visual Perception Today Sensor Suite for Autonomous Vehicle ADAS Hardware for ADAS Sensor Suite Which sensor do you know? Which sensor suite for Which algorithms
More informationDecision to make the Wireless Telegraphy (Vehicle Based Intelligent Transport Systems)(Exemption) Regulations 2009
Decision to make the Wireless Telegraphy (Vehicle Based Intelligent Transport Systems)(Exemption) Regulations 2009 Statement Publication date: 23 January 2009 Contents Section Page 1 Summary 1 2 Introduction
More informationDeliverable D1.6 Initial System Specifications Executive Summary
Deliverable D1.6 Initial System Specifications Executive Summary Version 1.0 Dissemination Project Coordination RE Ford Research and Advanced Engineering Europe Due Date 31.10.2010 Version Date 09.02.2011
More informationIntelligent Technology for More Advanced Autonomous Driving
FEATURED ARTICLES Autonomous Driving Technology for Connected Cars Intelligent Technology for More Advanced Autonomous Driving Autonomous driving is recognized as an important technology for dealing with
More information23270: 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 informationSituational Awareness A Missing DP Sensor output
Situational Awareness A Missing DP Sensor output Improving Situational Awareness in Dynamically Positioned Operations Dave Sanderson, Engineering Group Manager. Abstract Guidance Marine is at the forefront
More informationNight-time pedestrian detection via Neuromorphic approach
Night-time pedestrian detection via Neuromorphic approach WOO JOON HAN, IL SONG HAN Graduate School for Green Transportation Korea Advanced Institute of Science and Technology 335 Gwahak-ro, Yuseong-gu,
More informationTECHNOLOGY DEVELOPMENT AREAS IN AAWA
TECHNOLOGY DEVELOPMENT AREAS IN AAWA Technologies for realizing remote and autonomous ships exist. The task is to find the optimum way to combine them reliably and cost effecticely. Ship state definition
More informationBlind Spot Monitor Vehicle Blind Spot Monitor
Blind Spot Monitor Vehicle Blind Spot Monitor List of Authors (Tim Salanta, Tejas Sevak, Brent Stelzer, Shaun Tobiczyk) Electrical and Computer Engineering Department School of Engineering and Computer
More informationTech Center a-drive: EUR 7.5 Million for Automated Driving
No. 005 lg January 18, 2016 Joint Press Release of the Partners Tech Center a-drive: EUR 7.5 Million for Automated Driving Kick-off of Cooperation Project of Science and Industry in the Presence of Minister
More informationA Vehicle Speed Measurement System for Nighttime with Camera
Proceedings of the 2nd International Conference on Industrial Application Engineering 2014 A Vehicle Speed Measurement System for Nighttime with Camera Yuji Goda a,*, Lifeng Zhang a,#, Seiichi Serikawa
More informationA 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 informationAll-weather vision for automotive safety: which spectral band?
All-weather vision for automotive safety: which spectral band? N. Pinchon 1, M. Ibn-Khedher 1, O. Cassignol 2, A. Nicolas 2, F. Bernardin 3, P. Leduc 4, J-P. Tarel 5, R. Brémond 5, E. Bercier 6, G. Julien
More informationBy Pierre Olivier, Vice President, Engineering and Manufacturing, LeddarTech Inc.
Leddar optical time-of-flight sensing technology, originally discovered by the National Optics Institute (INO) in Quebec City and developed and commercialized by LeddarTech, is a unique LiDAR technology
More informationOfficial Journal of the European Union L 21/15 COMMISSION
25.1.2005 Official Journal of the European Union L 21/15 COMMISSION COMMISSION DECISION of 17 January 2005 on the harmonisation of the 24 GHz range radio spectrum band for the time-limited use by automotive
More informationThe Denali-MC HDR ISP Backgrounder
The Denali-MC HDR ISP Backgrounder 2-4 brackets up to 8 EV frame offset Up to 16 EV stops for output HDR LATM (tone map) up to 24 EV Noise reduction due to merging of 10 EV LDR to a single 16 EV HDR up
More informationEffective Collision Avoidance System Using Modified Kalman Filter
Effective Collision Avoidance System Using Modified Kalman Filter Dnyaneshwar V. Avatirak, S. L. Nalbalwar & N. S. Jadhav DBATU Lonere E-mail : dvavatirak@dbatu.ac.in, nalbalwar_sanjayan@yahoo.com, nsjadhav@dbatu.ac.in
More informationDevelopment of Hybrid Image Sensor for Pedestrian Detection
AUTOMOTIVE Development of Hybrid Image Sensor for Pedestrian Detection Hiroaki Saito*, Kenichi HatanaKa and toshikatsu HayaSaKi To reduce traffic accidents and serious injuries at intersections, development
More informationEuropean Road Safety and e-safety
European Road Safety and e-safety P. Papantoniou, P. Evgenikos, G. Yannis, NTUA, Greece T. Hermitte, GIE RE PSA RENAULT, France P.V. Elslande, Institut français des sciences et technologies des transports,
More informationGlobal Image Sensor Market with Focus on Automotive CMOS Sensors: Industry Analysis & Outlook ( )
Industry Research by Koncept Analytics Global Image Sensor Market with Focus on Automotive CMOS Sensors: Industry Analysis & Outlook ----------------------------------------- (2017-2021) October 2017 Global
More informationApplications of Millimeter-Wave Sensors in ITS
Applications of Millimeter-Wave Sensors in ITS by Shigeaki Nishikawa* and Hiroshi Endo* There is considerable public and private support for intelligent transport systems ABSTRACT (ITS), which promise
More informationRoadside Range Sensors for Intersection Decision Support
Roadside Range Sensors for Intersection Decision Support Arvind Menon, Alec Gorjestani, Craig Shankwitz and Max Donath, Member, IEEE Abstract The Intelligent Transportation Institute at the University
More informationDevelopment of 24 GHz-band High Resolution Multi-Mode Radar
Special Issue Automobile Electronics Development of 24 GHz-band High Resolution Multi-Mode Radar Daisuke Inoue*, Kei Takahashi*, Hiroyasu Yano*, Noritaka Murofushi*, Sadao Matsushima*, Takashi Iijima*
More informationTransportation Safety Equipment Institute INTRODUCTION
Transportation Safety Equipment Institute September 10, 2012 National Highway Traffic Safety Administration U.S. Department of Transportation Docket Management Facility, M 30 West Building Ground Floor,
More informationMinimizing Distraction While Adding Features
Minimizing Distraction While Adding Features Lisa Southwick, UX Manager Hyundai American Technical Center, Inc. Agenda Distracted Driving Advanced Driver Assistance Systems (ADAS) ADAS User Experience
More informationDirectional Driver Hazard Advisory System. Benjamin Moore and Vasil Pendavinji ECE 445 Project Proposal Spring 2017 Team: 24 TA: Yuchen He
Directional Driver Hazard Advisory System Benjamin Moore and Vasil Pendavinji ECE 445 Project Proposal Spring 2017 Team: 24 TA: Yuchen He 1 Table of Contents 1 Introduction... 3 1.1 Objective... 3 1.2
More informationFinal 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 informationDriver Assistance and Awareness Applications
Using s as Automotive Sensors Driver Assistance and Awareness Applications Faroog Ibrahim Visteon Corporation GNSS is all about positioning, sure. But for most automotive applications we need a map to
More informationAuthor s Name Name of the Paper Session. DYNAMIC POSITIONING CONFERENCE October 10-11, 2017 SENSORS SESSION. Sensing Autonomy.
Author s Name Name of the Paper Session DYNAMIC POSITIONING CONFERENCE October 10-11, 2017 SENSORS SESSION Sensing Autonomy By Arne Rinnan Kongsberg Seatex AS Abstract A certain level of autonomy is already
More informationTechnical Datasheet. Blaxtair is an intelligent cameraa with the ability to generate alarms when a pedestrian is detected
BlaXtair 1 Product Overview Technical Datasheet Figure 1 Blaxtair sensor head Blaxtair is an intelligent cameraa with the ability to generate alarms when a pedestrian is detected in a predefined area.
More informationTHE SCHOOL BUS. Figure 1
THE SCHOOL BUS Federal Motor Vehicle Safety Standards (FMVSS) 571.111 Standard 111 provides the requirements for rear view mirror systems for road vehicles, including the school bus in the US. The Standards
More informationEnabling autonomous driving
Automotive fuyu liu / Shutterstock.com Enabling autonomous driving Autonomous vehicles see the world through sensors. The entire concept rests on their reliability. But the ability of a radar sensor to
More informationAutomatic Maneuver Recognition in the Automobile: the Fusion of Uncertain Sensor Values using Bayesian Models
Automatic Maneuver Recognition in the Automobile: the Fusion of Uncertain Sensor Values using Bayesian Models Arati Gerdes Institute of Transportation Systems German Aerospace Center, Lilienthalplatz 7,
More informationINTEGRATION OF AFS-FUNCTIONALITY
INTEGRATION OF AFS-FUNCTIONALITY INTO DRIVING SIMULATORS B. Rudolf, J. Schmidt, M. Grimm, F.-J. Kalze, T. Weber, C. Plattfaut HELLA KGaA Hueck & Co. Bernd.Rudolf@hella.com P. Lecocq, A. Kemeny, F. Panerai
More informationAnalysis and Investigation Method for All Traffic Scenarios (AIMATS)
Analysis and Investigation Method for All Traffic Scenarios (AIMATS) Dr. Christian Erbsmehl*, Dr. Nils Lubbe**, Niels Ferson**, Hitoshi Yuasa**, Dr. Tom Landgraf*, Martin Urban* *Fraunhofer Institute for
More informationImage Processing Based Vehicle Detection And Tracking System
Image Processing Based Vehicle Detection And Tracking System Poonam A. Kandalkar 1, Gajanan P. Dhok 2 ME, Scholar, Electronics and Telecommunication Engineering, Sipna College of Engineering and Technology,
More informationPositioning Challenges in Cooperative Vehicular Safety Systems
Positioning Challenges in Cooperative Vehicular Safety Systems Dr. Luca Delgrossi Mercedes-Benz Research & Development North America, Inc. October 15, 2009 Positioning for Automotive Navigation Personal
More informationHow does prism technology help to achieve superior color image quality?
WHITE PAPER How does prism technology help to achieve superior color image quality? Achieving superior image quality requires real and full color depth for every channel, improved color contrast and color
More informationDriver status monitoring based on Neuromorphic visual processing
Driver status monitoring based on Neuromorphic visual processing Dongwook Kim, Karam Hwang, Seungyoung Ahn, and Ilsong Han Cho Chun Shik Graduated School for Green Transportation Korea Advanced Institute
More informationPEDESTRIAN PROTECTION BASED ON COMBINED SENSOR SYSTEMS
PEDESTRIAN PROTECTION BASED ON COMBINED SENSOR SYSTEMS Dr. Jan Tilp, Dr. Ralf Walther, Dr. Soenke Carstens-Behrens, Claudia Zehder, Dr. Christian Zott Robert Bosch GmbH, Stuttgart, Germany Dr. Thomas Fischer,
More informationAbstract. 1. Introduction
Trans Am: An Experiment in Autonomous Navigation Jason W. Grzywna, Dr. A. Antonio Arroyo Machine Intelligence Laboratory Dept. of Electrical Engineering University of Florida, USA Tel. (352) 392-6605 Email:
More informationUsing Vision-Based Driver Assistance to Augment Vehicular Ad-Hoc Network Communication
Using Vision-Based Driver Assistance to Augment Vehicular Ad-Hoc Network Communication Kyle Charbonneau, Michael Bauer and Steven Beauchemin Department of Computer Science University of Western Ontario
More informationSystems characteristics of automotive radars operating in the frequency band GHz for intelligent transport systems applications
Recommendation ITU-R M.257-1 (1/218) Systems characteristics of automotive s operating in the frequency band 76-81 GHz for intelligent transport systems applications M Series Mobile, radiodetermination,
More informationCurrent Technologies in Vehicular Communications
Current Technologies in Vehicular Communications George Dimitrakopoulos George Bravos Current Technologies in Vehicular Communications George Dimitrakopoulos Department of Informatics and Telematics Harokopio
More informationMaster thesis: Author: Examiner: Tutor: Duration: 1. Introduction 2. Ghost Categories Figure 1 Ghost categories
Master thesis: Development of an Algorithm for Ghost Detection in the Context of Stray Light Test Author: Tong Wang Examiner: Prof. Dr. Ing. Norbert Haala Tutor: Dr. Uwe Apel (Robert Bosch GmbH) Duration:
More informationRobust Positioning for Urban Traffic
Robust Positioning for Urban Traffic Motivations and Activity plan for the WG 4.1.4 Dr. Laura Ruotsalainen Research Manager, Department of Navigation and positioning Finnish Geospatial Research Institute
More informationCMOS Image Sensors in Cell Phones, Cars and Beyond. Patrick Feng General manager BYD Microelectronics October 8, 2013
CMOS Image Sensors in Cell Phones, Cars and Beyond Patrick Feng General manager BYD Microelectronics October 8, 2013 BYD Microelectronics (BME) is a subsidiary of BYD Company Limited, Shenzhen, China.
More informationAdaptive Headlights System for Vehicle using Arduino
Adaptive Headlights System for Vehicle using Arduino S. Sanjay Kumar 1, E. Santhiya 2, S. Sivasakthi 3, H. Rabiyul Fahim 4, G. Madhusudanan 5 1,2,3,4UG Student, Valliammai Engineering College, Chennai,
More informationHAVEit 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 informationCOGNITIVE MODEL OF MOBILE ROBOT WORKSPACE
COGNITIVE MODEL OF MOBILE ROBOT WORKSPACE Prof.dr.sc. Mladen Crneković, University of Zagreb, FSB, I. Lučića 5, 10000 Zagreb Prof.dr.sc. Davor Zorc, University of Zagreb, FSB, I. Lučića 5, 10000 Zagreb
More informationPHOTOGRAMMETRIC ADVANCED DETECTION SOLUTION INCIDENT DETECTION IN TUNNELS
- 102 - PHOTOGRAMMETRIC ADVANCED DETECTION SOLUTION INCIDENT DETECTION IN TUNNELS de Kok P., Zenz T., Markus J. Siemens Building Technologies Austria ABSTRACT Use of photogrammetric methods and image analysis
More informationVideo 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 informationInvited talk IET-Renault Workshop Autonomous Vehicles: From theory to full scale applications Novotel Paris Les Halles, June 18 th 2015
Risk assessment & Decision-making for safe Vehicle Navigation under Uncertainty Christian LAUGIER, First class Research Director at Inria http://emotion.inrialpes.fr/laugier Contributions from Mathias
More informationAll-weather vision for automotive safety: which spectral band?
All-weather vision for automotive safety: which spectral band? N. Pinchon 1, O. Cassignol 2, A. Nicolas 2, F. Bernardin 3, P. Leduc 4, J-P. Tarel 5, R. Brémond 5, E. Bercier 6, J. Brunet 7 1: VALEO, 34
More informationTechnologies and Products
Technologies and Products Technologies and Products 10 Quality has been central to the development and production of automobile components at DENSO since the company s inception. Thanks in large part to
More informationKooperative Sensorik für die Fussgängersicherheit Car2VRU-Kommunikation
Kooperative Sensorik für die Fussgängersicherheit Car2VRU-Kommunikation i Wireless Communication and Information Berlin, 15.10.2010 15102010 Prof. Dr.-Ing. Dipl.-Ing. Dipl. Wirt.-Ing. Axel Sikora Department
More informationReal-time data collection: Experiences of long-term traffic observations and future developments
Arno Rook, Paul Bakker, Pjotr van Amerongen and Richard van der Horst Real-time data collection: Experiences of long-term traffic observations and future developments Human Factors Knowledge for business
More informationTunnel and underpass lighting
Tunnel lighting offers its own set of challenges and requires not only specialist products but also the proven experience to implement it. Philips Lighting offers you both. In addition to our modular ranges
More informationA Study on Developing Image Processing for Smart Traffic Supporting System Based on AR
Proceedings of the 2 nd World Congress on Civil, Structural, and Environmental Engineering (CSEE 17) Barcelona, Spain April 2 4, 2017 Paper No. ICTE 111 ISSN: 2371-5294 DOI: 10.11159/icte17.111 A Study
More informationDIGITAL IMAGE PROCESSING LECTURE # 4 DIGITAL IMAGE FUNDAMENTALS-I
DIGITAL IMAGE PROCESSING LECTURE # 4 DIGITAL IMAGE FUNDAMENTALS-I 4 Topics to Cover Light and EM Spectrum Visual Perception Structure Of Human Eyes Image Formation on the Eye Brightness Adaptation and
More informationRoad Boundary Estimation in Construction Sites Michael Darms, Matthias Komar, Dirk Waldbauer, Stefan Lüke
Road Boundary Estimation in Construction Sites Michael Darms, Matthias Komar, Dirk Waldbauer, Stefan Lüke Lanes in Construction Sites Roadway is often bounded by elevated objects (e.g. guidance walls)
More informationPEDESTRIAN AND OBJECT DETECTION SYSTEM IN VEHICLES FOR SAFETY DRIVING
PEDESTRIAN AND OBJECT DETECTION SYSTEM IN VEHICLES FOR SAFETY DRIVING J. Ram Prabu and S. Abinaya Department of EEE, Kumaraguru College of Technology, Coimbatore, India ABSTRACT In this paper a new image
More information