FANG Shouen Tongji University

Similar documents
China Intelligent Connected Vehicle Technology Roadmap 1

A Presentation on. Human Computer Interaction (HMI) in autonomous vehicles for alerting driver during overtaking and lane changing

A Communication-centric Look at Automated Driving

EMERGING TRENDS IN AUTOMOTIVE ACTIVE-SAFETY APPLICATIONS

Automated Driving - Object Perception at 120 KPH Chris Mansley

G4 Apps. Intelligent Vehicles ITS Canada ATMS Detection Webinar June 13, 2013

EMERGENCY VEHICLE APPROACHING

Deep Learning Will Make Truly Self-Driving Cars a Reality

Advanced Vehicle Control System Development Div.

LiDAR Teach-In OSRAM Licht AG June 20, 2018 Munich Light is OSRAM

Our Approach to Automated Driving System Safety. February 2019

THE HIGHWAY-CHAUFFEUR

Cooperative Autonomous Driving and Interaction with Vulnerable Road Users

An Innovative Approach

WHITE PAPER Autonomous Driving A Bird s Eye View

Traffic Operations with Connected and Automated Vehicles

Autonomous cars navigation on roads opened to public traffic: How can infrastructure-based systems help?

Application of Autonomous Driving Technology to Transit - Functional Capabilities for Safety and Capacity

D.J.Kulkarni, Deputy Director, ARAI

MEMS Sensors for automotive safety. Marc OSAJDA, NXP Semiconductors

18th ICTCT Workshop, Helsinki, October Technical feasibility of safety related driving assistance systems

Intelligent Vehicle Systems

Új technológiák a közlekedésbiztonság jövőjéért

The SIPS (Side Impact Protection System) includes side airbags and an Inflatable Curtain (IC) airbag that protects both front and rear occupants.

Leading the way to seamless mobility November th, 2017 Tampa, Florida

TOWARDS ACCIDENT FREE DRIVING

Functional Algorithm for Automated Pedestrian Collision Avoidance System

DA to AD systems L3+: An evolutionary approach incorporating disruptive technologies

V2X Outlook. Doug Patton. Society of Automotive Analysts Automotive Outlook Conference January 8, 2017

Reducing speed: Why does it matter so much? Pay-as-you-speed an insurance initiative to reduce speed Anders Kullgren

Intelligent Speed Adaptation The Past, Present and Future of driver assistance. Dave Marples

Automated Driving: The Technology and Implications for Insurance Brake Webinar 6 th December 2016

AUTONOMOUS VEHICLES: PAST, PRESENT, FUTURE. CEM U. SARAYDAR Director, Electrical and Controls Systems Research Lab GM Global Research & Development

The intelligent Truck safe, autonomous, connected. N. Mustafa Üstertuna Mercedes-Benz Türk A.Ş.

Truck Safety Applications for Cost- Efficient Laser Scanner Sensors Grant Grubb, Volvo Trucks, Sweden

EVAS~~~~ EMERGENCY VEHICLE ALERT SYSTEM

NADY BOULES Director, Electrical & Controls Integration Lab

Le développement technique des véhicules autonomes

Driver Monitoring System for Enhancing Road Safety

Future Safety Systems As a Challenge in an Changing Industry

Automated Driving: The Technology and Implications for Insurance. Matthew Avery Director of Insurance Research

The path towards Autonomous Driving

AKTIV experiencing the future together. Dr. Ulrich Kreßel Daimler AG, Research Center Ulm Walter Schwertberger MAN Nutzfahrzeuge, München

Outline WHY ARE SELF DRIVING VEHICLES GETTING INVOLVED IN CRASHES?

Automated Vehicles: Terminology and Taxonomy

Active Safety and Cooperative Systems in the Road Infrastructure of the Future

Devices to Assist Drivers to Comply with Speed Limits

University of Michigan s Work Toward Autonomous Cars

Unit 1 - Driving, Mobility and Laws. Chapter 1 - Driving and Mobility

The Environment. The Environment

Rural Speed and Crash Risk. Kloeden CN, McLean AJ Road Accident Research Unit, Adelaide University 5005 ABSTRACT

The Fourth Phase of Advanced Safety Vehicle Project - technologies for collision avoidance -

Autonomyof vehicles. Prof. dr. Jernej Klemenc, dr. Simon Oman

A factsheet on Volvo Cars safety technology in the new Volvo S90

Smart systems. Smart traffic. Siemens Intelligent Traffic Systems

Autonomous Automated and Connected Vehicles

ITS TEXAS Connected Vehicles: ITS Implications Short and Long Term

VEHICLE SAFETY TRAINING WORKSHOP

EMERGING TECHNOLOGIES, EMERGING ISSUES

Audi piloted driving. Audi piloted driving. Daniel Lipinski, Electronic Research Lab, Volkswagen Group of America

Toyota s トヨタの安全への取り組み

CONNECTED AUTOMATION HOW ABOUT SAFETY?

THE WAY TO HIGHLY AUTOMATED DRIVING.

Occupational Driving Consider the Risks. Sandra Wilson, OSACH

Tomi Igun (240) October 15, 2008

Introduction of SMART Highway Test Bed and Test Results. Joonsoo Shin Korea Expressway Co.

Arabian Gulf Threats. 17 M barrels/ day, 35% of the world oil trade. Largest offshore oil development area in the world

Defensive Driving Training

5G V2X. The automotive use-case for 5G. Dino Flore 5GAA Director General

Highly Automated Driving: Fiction or Future?

DRIVING. Honda Sensing *

Tenk om bilene ikke kolliderer lenger

CSE 352: Self-Driving Cars. Team 14: Abderrahman Dandoune Billy Kiong Paul Chan Xiqian Chen Samuel Clark

A factsheet on the safety technology in Volvo s 90 Series cars

Introduction Projects Basic Design Perception Motion Planning Mission Planning Behaviour Conclusion. Autonomous Vehicles

Safety Considerations of Autonomous Vehicles. Darren Divall Head of International Road Safety TRL

Connected Vehicles. The rise of safety innovations and intelligent mobility

WHAT DOES OUR AUTONOMOUS FUTURE LOOK LIKE?

AUTONOMOUS CARS: TECHNIQUES AND CHALLENGES

COLLISION AVOIDANCE SYSTEM

Road Surface characteristics and traffic accident rates on New Zealand s state highway network

The connected vehicle is the better vehicle!

GOVERNMENT STATUS REPORT OF JAPAN

Recent Transportation Projects

Cooperative brake technology

Towards Realizing Autonomous Driving Based on Distributed Decision Making for Complex Urban Environments

Assisted and Automated Driving DEFINITION AND ASSESSMENT: SUMMARY DOCUMENT

DEFENSIVE DRIVING COMMUNITY SERVICES FOR THE DEVELOPMENTALLY DISABLED

Prevention and Management of Ghost drivers Incidents on Motorways

State of the art in autonomous driving. German Aerospace Center DLR Institute of transportation systems

The Role of Intelligent Transport Systems in Road Safety and Logistics

Autonomous Vehicles in California. Brian G. Soublet Deputy Director Chief Counsel California Department of Motor Vehicles

Journal of Emerging Trends in Computing and Information Sciences

National Road Safety Action Plan in China

Defensive and Safe Driving Accidents. Why must we maintain defensive and safe driving practices?

LiDAR and the Autonomous Vehicle Revolution for Truck and Ride Sharing Fleets

NavInfo HD maps make automated driving safer and more comfortable. Xiao Gong

HVCBA Theory Assessment

Quarterly Content Guide Driver Education/Traffic Safety Classroom (Course # )

Special GRRF Session on

Transcription:

Introduction to Dr. Fang Shou en Communist Party secretary of Tongji University; Doctoral supervisor in Tongji University; Executive director of China Intelligent Transportation Systems Association (CITSA) and executive director of Road Traffic Safety Association of People s Republic of China. Research interests: the theory and method of road planning and design, road traffic safety, etc. Organizer: Intelligent Transportation and Autonomous Vehicles 1 HIGH PRECISION POSITIONING, MAP AND ACTIVE TRAFFIC SAFETY FANG Shouen Tongji University 1

1 Background 2 High precision positioning and mapping 3 Active traffic safety 4 Applications 5 Conclusions In China, more than 50% of traffic accidents are caused by overspeed, noncompliance, reverse driving, illegal occupation, and illegal overtaking. The main reasons for road accident Fatalities 2

Serious accidents causing casualties are concentrated in locations where the traffic environment is complex Post-accident phase Pre-tight seat belt Whiplash Protection System WHIPS Vehicle-use child safety seats Airbag 3

The upcoming phase of the accident Anti-collision warning system(aws) Traction control system Electronic Stability Program(ESP) Vehicle Stability Assist (VSA) Anti-lock Braking System(ABS) Electric Brake force Distribution(EBD) Lane changing auxiliary system Acceleration Slip Regulation(ASR) Normal driving stage How to reduce the probability of accidents during normal driving? Obtain the safety information related to driving vehicles on the road Provide the normal information intervention and safe services for drivers 4

1. BACKGROUND Why the accident occurs Real-time navigation Whether the velocity vectors of the conflicting vehicles intersect? How to know the position of the vehicle on the road? Traffic Management Highway Aligment Accident prevention Traffic safety model Data communication Actively prevent accidents from happening High-precision positioning and reliable spatial data are necessary conditions for proactive prevention of accidents GNSS observation network and wide-area real-time precision positioning system are important infrastructures for realizing urban traffic active safety services, enabling widearea sub-meter positioning Vehicle-borne high-precision positioning terminal Marking, sign recognizing V2V,V2R short-range communication Moving objects detection 5

Vehicle-borne high-precision positioning terminal high-precision lane-level seamless positioning module low-speed CAN bus information acquisition and control V2X workshop-vehicle short-range communication 3G and call communication ACC radar sensing Precise GPS Positioning Main board and appearance of the terminal Android operating system embedded with high-precision positioning module High-precision, high-resolution spatial data, especially the road maps, are the basic conditions for active traffic safety services. Road markings Gaode Map Road markings Google Google Road symbols Road symbols Tom-tom Here map 6

2. HIGH PRECISION POSITIONING AND MAPPING Intensity Point cloud Imagery Color Fused point cloud High precision road map generation from mobile laser scanning data 7

Overlay of the multi-level navigation electronic map Error distribution map Error of control point Accuracy evulation of lane level road maps Application of lane level navigation map 3. ACTIVE TRAFFIC SAFETY MODELS (1) The coulpingof crash factors and driving status Crash factor analysis The relationship within driving behavior and road alignment & environment The effect of driving state on crashes Road crashes Human Vehicle Road Environment ->Driving status data acquisition High-precision devices: location / speed / 3-Dimension acceleration 8

3. ACTIVE TRAFFIC SAFETY MODELS On-ramp Ramp curve Pre-warning premises Chemical vehicles / micro vans + Raining + >30km/h Other vehicles + Raining + >40km/h All vehicles + Sunny + >60km/h 3. ACTIVE TRAFFIC SAFETY MODELS (2) Risk alerting based on spatial-temporal impact analysis of incidents Number of vehicles involved Occupied lane Level of service Regression Analysis Crash dealing time Clearance time Single crash Multi-veh crash Queuing length 9

3. ACTIVE TRAFFIC SAFETY MODELS (3) Conflicts alerting in the intersections based on high-precision positioning techniques and DSRC V2V DSRC+ meter-level positioning Real-time online analysis and alerting 3. ACTIVE TRAFFIC SAFETY MODELS (3) Conflicts alerting within the intersections based on high-precision positioning techniques and DSRC a A1 V A1 CP 1 CP A A 2 a A2 V A2 V Bt2 a Bt2 V Bt1 a Bn2 V Bn2 a Bt1 V Bn1 a Bn1 B Vehicle trajectory Conflict level Alerting conditions Modeling method Three stages: into curve, in curve, leave curve Log-linear model, to estimate duration time of the three stages Conflicts classification within the turning duration 10

3. ACTIVE TRAFFIC SAFETY MODELS (4) Enhancing visual sense under low-visibility weather conditions Modeling method Spatial information technology + VR Spatial point cloud of infrastructure by laser scanning and UAV 3D digital restructure High-precision data acquisition by on-board devices Perspectives generating from driver s viewpoint Scenes generating by on-board devices 4 APPLICATION 11

5 CONCLUSIONS (1)High precision positioning+ safety can help to improve safety by +mapping technique +safety model + VR technique +.. (2)Key technique of Autonomous Vehicle and Connect Vehicle: High precision + Communication (3) Our role: Know where you are and let other vehicle know where you are THANKS FANG Shouen Tongji University fangsek@tongji.edu.cn 12