Advanced Driver Assistance: Modular Image Sensor Concept

Similar documents
W4. Perception & Situation Awareness & Decision making

Failure Diagnosis and Prognosis for Automotive Systems. Tom Fuhrman General Motors R&D IFIP Workshop June 25-27, 2010

IMPROVING ADAS VALIDATION WITH MBT

Pedestrian Detection with Radar and Computer Vision

Arm Technology in Automotive Geely Automotive Shanghai Innovation Center

Object Fusion for an Advanced Emergency Braking System (AEBS) Jonny Andersson

Solid State LiDAR for Ubiquitous 3D Sensing

ADAS: A Safe Eye on The Road

FPGA Image Processing for Driver Assistance Camera

Designing a software framework for automated driving. Dr.-Ing. Sebastian Ohl, 2017 October 12 th

차세대지능형자동차를위한신호처리기술 정호기

SOLUTIONS FOR TESTING CAMERA-BASED ADVANCED DRIVER ASSISTANCE SYSTEMS SOLUTIONS FOR VIRTUAL TEST DRIVING

VIA Mobile360 Surround View

Cooperative Vehicles Opportunity and Challenges

Verification of Collision Avoidance Functionality A mileage multiplier approach to verify future Collision Avoidance Systems

Optical Sensors: Key Technology for the Autonomous Car

Hezi Saar, Sr. Staff Product Marketing Manager Synopsys. Powering Imaging Applications with MIPI CSI-2

Supplier Business Opportunities on ADAS and Autonomous Driving Technologies

AUTOMATED GENERATION OF VIRTUAL DRIVING SCENARIOS FROM TEST DRIVE DATA

Technical Bulletin Global Vehicle Target Specification Version 1.0 May 2018 TB 025

Research on the Measurement Method of the Detection Range of Vehicle Reversing Assisting System

Application_Database.docx

Future Implications for the Vehicle When Considering the Internet of Things (IoT)

ISO/TS TECHNICAL SPECIFICATION. Transport information and control systems Traffic Impediment Warning Systems (TIWS) System requirements

Acoustic/Lidar Sensor Fusion for Car Tracking in City Traffic Scenarios

Design Considerations And The Impact of CMOS Image Sensors On The Car

Multi-Core SoCs for ADAS and Image Recognition Applications

Advanced Driver Assistance Systems: A Cost-Effective Implementation of the Forward Collision Warning Module

Komando Dash Cam Pro with Night Vision

Solutions for Smarter Driving ADAS

Functional Safety Architectural Challenges for Autonomous Drive

Vehicle Localization. Hannah Rae Kerner 21 April 2015

Analysis of Obstacle Detection Technologies used in Mobile Robots

Control Challenges in the Vehicle Infrastructure Initiative (VII)

Autonomous Driving Solutions

WardsAuto Interiors Conference Creating the Ultimate User Experience

Next Generation Infotainment Systems

TEGRA K1 AND THE AUTOMOTIVE INDUSTRY. Gernot Ziegler, Timo Stich

Taking the Right Turn with Safe and Modular Solutions for the Automotive Industry

DS-IMU NEXT GENERATION OF NAVIGATION INSTRUMENTS

MATLAB Expo 2014 Verkehrszeichenerkennung in Fahrerassistenzsystemen Continental

TIOVX TI s OpenVX Implementation

TomTom Innovation. Hans Aerts VP Software Development Business Unit Automotive November 2015

CAM-KIT6. User Manual. Connects2Vision. Mirror with DVR & Rear Camera PRODUCT FEATURES:

How Microcontrollers help GPUs in Autonomous Drive

Why the Self-Driving Revolution Hinges on one Enabling Technology: LiDAR

HDRC CMOS-Bildsensorik

UAV Autonomous Navigation in a GPS-limited Urban Environment

Features. Main Features of OPTIAN!! FCW ( Forward Collision Warning ) LDW (Lane Departure Warning ) FCDA ( Front Car Departure Alert )

Vision-based ACC with a Single Camera: Bounds on Range and Range Rate Accuracy

Stereo Vision Based Advanced Driver Assistance System

Team Aware Perception System using Stereo Vision and Radar

Layer-based Multi-sensor Fusion Architecture for Cooperative and Automated Driving Application Development

Photonic Technologies for LiDAR in Autonomous/ADAS. Jake Li (Market Specialist SiPM & Automotive) Hamamatsu Corporation

Integrated Radar-Camera Sensors: The Next Generation of Sensor Fusion. William A. Bauson Delphi Electronics and Safety Jan.

DSRC Field Trials Whitepaper

CAMERA-MONITOR SYSTEMS

Option Driver Assistance. Product Information

Cohda Wireless White Paper DSRC Field Trials

LANE DEPARTURE WARNING SYSTEM FOR VEHICLE SAFETY

License Plate Recognition (LPR) Camera Installation Manual

STATUS OF EU ACCESSION TO UN ECE REGULATIONS IN THE AREA OF VEHICLE APPROVAL AS OF 31 DECEMBER 2014

ISO/TS TECHNICAL SPECIFICATION. Transport information and control systems Traffic Impediment Warning Systems (TIWS) System requirements

Survey on Blind Spot Detection and Lane Departure Warning Systems

LiDAR for ADAS and Autonomous Driving (Intro to LiDAR Face-Off at Sensors EXPO 2018)

May New Thinkware Dashcam May 2018 THINKWARE 1080P FULL HD SMART GPS DASH CAM F770 THINKWARE 1080P FULL HD SMART GPS DASH CAM F750

Automated Driving Development

PMD [vision] Day Vol. 3 Munich, November 18, PMD Cameras for Automotive & Outdoor Applications. ifm electronic gmbh, V.Frey. Dr.

Simulation: A Must for Autonomous Driving

Connected Car. Dr. Sania Irwin. Head of Systems & Applications May 27, Nokia Solutions and Networks 2014 For internal use

Towards Autonomous Vehicle. What is an autonomous vehicle? Vehicle driving on its own with zero mistakes How? Using sensors

Communication Patterns in Safety Critical Systems for ADAS & Autonomous Vehicles Thorsten Wilmer Tech AD Berlin, 5. March 2018

Rearview Mirror with 4.5" Color LCD with Navigation and 2 Camera inputs/compass and Outside Temperature Model: LCMR6CT Owner s Manual

Automotive and Aerospace Synergies

Evaluation of a laser-based reference system for ADAS

2 OVERVIEW OF RELATED WORK

Serial EEPROM for Automotive New Advanced series

> Acoustical feedback in the form of a beep with increasing urgency with decreasing distance to an obstacle

Be sure to always check the camera is properly functioning, is properly positioned and securely mounted.

Can We Improve Autonomous Driving With IoT and Cloud?

Mobile Robotics. Mathematics, Models, and Methods. HI Cambridge. Alonzo Kelly. Carnegie Mellon University UNIVERSITY PRESS

Testing of automated driving systems

Image processing techniques for driver assistance. Razvan Itu June 2014, Technical University Cluj-Napoca

LOW COST ADVANCDED DRIVER ASSISTANCE SYSTEM (ADAS) DEVELOPMENT

Vehicle Safety Communications Project Final Overview

Korean No. 1 Blackbox. 2CH Full HD VDR with USB backup function. Product specifications ITB-5000FHD

Innovative M-Tech projects list

Cybersecurity Challenges for Connected and Automated Vehicles. Robert W. Heller, Ph.D. Program Director R&D, Southwest Research Institute

The ARM Connected Car. Chris Turner Senior Product Marketing Manager, CPU Group

Emerging Vision Technologies: Enabling a New Era of Intelligent Devices

Quick Start Guide Ford Mustang

DUAL MODE SCANNER for BROKEN RAIL DETECTION

Garmin DriveAssist 50. Owner s Manual

Development of a Posture-Sensing Technique Using a Wide Angle Monocular Camera (Occupant Extraction Technique)

Enabling Functional Safety ASIL Compliance for Autonomous Driving Software Systems

Autorama, Connecting Your Car to

Giancarlo Vasta, Magneti Marelli, Lucia Lo Bello, University of Catania,

Vehicle Camera Systems

Study Area and Location District PSA Ward ANC Phase Description G Planned Connecticut Avenue Northbound at Military Road Northwest

TRAFFIC VIOLATION MANAGEMENT SOLUTION. 1

Transcription:

Vision Advanced Driver Assistance: Modular Image Sensor Concept Supplying value.

Integrated Passive and Active Safety Systems Active Safety Passive Safety Scope Reduction of accident probability Get ready for the accident Crash Mitigation of accident impact for passengers System ADAS: Blind Spot, LDW, LCA, Night View, ACC... Vehicle Dynamics: ABS, ASC, VSC, BA,... Pre-Safe system Pre-Crash system Restraint system Post-Crash system: GSM, Telemetrics, Rescue,... Situation Critical Normal Driving Pre-Crash In-Crash Post-Crash Condition Accident avoidance Accident happens

ADAS Technology Trends CMOS Camera 24/77 GHz Radar 3D Camera Computing Hardware Calculation Speed HW Platforms Detection and Classification Performance Client/Server SW Product Communication Architecture Sensor Technology Algorithms

ADAS Overview Collision Collision Mitigation (Emergency Brake) Collision Warning) Pre- Crash Highway Assistant Electronic Drawbar ACC + Vision/ (Stop & Go) Blind Spot Lane Change Assistant Assistance Advanced Parking Aid Sensing Technologies: Camera, Radar, Lidar, US Navigation Data LDW (Lane Departure Warning) Occupant Monitoring Lane Keeping Electronic Mirror Night View Traffic Sign Assistant Driver Vigilance Driver Monitoring Perception Driver Status

ADAS Camera Applications Lane Change Assistance Driver Monitoring Driver Vigilance Front Camera Lane- Assistance Rear Camera Night-View Object- Detection Lane Change Assistance Occupant Monitoring

Modular ADAS Platform Concept ADAS Applications Front View Side View Rear View Interior View Sensor Technologies and Controller Hardware Algorithms for Detection and Interpretation of Driving Environment HMI Concepts and Technologies Software Frameworks and Development Tools

Radar Key Components for Advanced Driver Assistant Systems 77 GHz for far range 24 GHz for near range Stereo Vision Advantages Video Monocular Vision Advantages SIT based on Laser and CMOS technology Advantages + high range and angular + provides accurate + high angular resolution resolution and accuracy range and velocity + emission free Applications + resistant to dirt and Applications rain, invisible mounting - Occupant Monitoring Applications - Occupant Monitoring - Object detection and - - ACC, Pre Crash - - Near distance sensing Lane detection Object detection and classification classification

CMOS HDRC Camera CMOS technology is free of blooming and smearing High resolution (300,000 pixel) optimized for outdoor applications Synchronous shutter eliminates distortion on moving parts. High dynamic range (>120 db) delivers excellent image quality in bright and dark areas High sensitivity allows night time operation

CMOS High Dynamic Range Camera (HDRC) Resolution, Pixel Size 750x400, high fill-factor Shutter Type global, high shutter efficiency Signal Response up to 120dB, programmable Slopes Data Interface 8 or 10 bit parallel Configuration Interface UART Temperature Range -40 C to +105 C (-40 F to 221 F) Specials: low dark current fast readout High dynamic range, synchronous shutter, Configurable Region of Interest, Subsampling Bad/Hot Pixel Replacement

Modular Camera System Architecture for Advanced Driver Assistant Systems Advantage: Reusability by flexible HW and SW moduls: Synergies between multiple applications Fast development of new applications Cost reduction Modular high performance ECU with modular SW architecture High Dynamic Range CMOS Camera Modul Optics CAN Diagnosis Vehicle Interface Flash 32 bit Microcontroller Camerainterface LVDS Interface CMOS Camera Optics Power Supply ECU Modul RAM Camerainterface LVDS Interface CMOS Camera Optional 2. camera

Multi Function Approach Algorithms for Detection and Interpretation of Driving Environment Sensors Processing / Algorithms Possible Functions Camera Front Sensor Image Processing Lane detection Night Vision Lane departure warning Lane Keeping ACC, ACC Stop & Go Radar Front Sensor Object detection Object tracking Trafic Sign Identification Object Classification Collision Mitigation

Application Examples: Lane Departure Warning Object Detection Supplying value.

Advanced Driver Assistant Systems Front Camera Lane Departure Warning Lane Keeping Night Vision ACC + Camera

What is "Lane Departure Warning" about? Lane departure is the single largest cause of automotive highway fatalities in the United States. "The main focus of LDW Systems is to help the driver keep the vehicle in the lane on highways and highway-like roads. Accordingly, a warning is issued to alert the driver in case of lane departure caused e.g. by inattention." * "LDWS are not intended to issue warnings with respect to collisions with other vehicles or control vehicle motions." * * ISO Draft Standard ISO/TC204/WG14/N123.32 Nov 01, 2002

LDWS: definitions (according to NP17361 ISO) Latest Warning Line Warning Threshold Lane Boundary Earliest Warning Line No Warning Zone Warning Threshold Placement Zone Time to line crossing (TTLC): Calculated time to cross the lane boundary. Warning Threshold: The location on the road in which the warning shall be issued (depending on TTLC). Latest/Earliest Warning Line: The outermost/innermost limit of the warning threshold.

Sensor Data Fusion Navigation System (Coordinates, (Digital Map, Street Road Type, name, Country,...)...) Vehicle Dynamic Sensors (Wheels Speed, Yaw Rate, Steering Angle,...) Camera (Objects, Obstacles, Lanes, Traffic Signs,...) Radar (Objects, Obstacles, Velocities, Distances,...) Sensor Data Fusion Object Classification Pole Pole Vehicle Pedestrian Wall Wall Object Properties Position Velocity Accident Forecast Probability Time Time to to Collision Overlap Rate Rate Delta-Velocity at at Contact Contact Applications: Pre Pre Crash, Crash, Pedestrian Detection, Collision Warning, Collision Mitigation

Summary Modular Image Sensing System for ADAS: Flexible HDR CMOS Camera Modules with Optics Image Processing ECU with high Computing Power Modular Interfaces & Communication Modular Architecture and Layer model for ECU - SW Framework Coherent Development Rules, Quality Concept and Guidelines Cost Optimization on Core Technologies Flexible Response to changing requirements Short development times