SIP Automated driving systems

Transcription

1 Automated Vehicles Symposium 2017 SIP Automated driving systems ー Mobility bringing everyone a smile ー July 13, 2017 Sub Program Director of SIP-adus Yoichi SUGIMOTO

2 2 Intensive R&D program promote 5-years R&D (FY FY2018) enhancing cross-ministerial cooperation Outline of SIP 11 research themes From societal issues such as Energy, Next-Generation Infrastructures and Local Resources, including R&D for AD Leadership and total Budget CSTI appointed Program Directors and allocates the budget for each research theme. * * \50bil in total per year (65% for SIP 11 themes, 35% for medical R&D) adus : Automated driving systems for universal service Council for Science, Technology, and Innovation Governing board (CSTI Executive Members) Program Director (PD) (assigned to Cabinet Office for each policy issue) Promotion Committee PD (Chairman), relevant ministries, experts, corporations, Cabinet Office (secretariat) Relevant ministries and management corporations and other researchers Outside experts

3 Promotion framework of Japanese Government Cabinet Secretariat (IT Strategic Headquarters) Cabinet Office (Council for Science, Technology and Innovation) ITS Japan NPA MIC METI MLIT (National Police Agency) Road traffic safety (Ministry of Internal Affairs and Communications) Info-Communication Technology for ITS (Ministry of Economy, Trade and Industry) Promotion of the automobile industry (Ministry of Land, Infrastructure, Transport and Tourism) Road Bureau Deployment of road infrastructure Road Transport Bureau Safety standards for automobile 3

4 Goal & Exit Strategy 1.Ensuring safety and traffic jam reduction on the road 2.Realization and spread of Automated Driving System 3.Realization of advanced next generation public bus service for vulnerable people. Realization of Level 2 on highway by Prioritization for next step Level 2 on regular road

5 5 Technologies for Automated driving systems Vehicle Recognition Judgment Operation Sensor, Map, ITS info. Artificial intelligence Actuator A highly self-position estimation Neighboring environmental cognition These are important for Automated Driving System Basic Tech. Dynamic Map High-definition digital map ITS Anticipative Information Radar Security, Simulation, Database, etc. HMI HMI: Human Machine Interface Cooperation with Human GSP Camera Onboard sensor radar In red :Area of Cooperation Main Area of SIP SIP focus on the R&D in Cooperative area with Industry, Academia and Government

6 6 Dynamic map To Use use Dynamic dynamic Map map as as an an advanced advanced traffic traffic info. info. database database for for all every vehicles, vehicle, not not only only as as a precise precise map map for for automated automated driving driving vehicle. vehicle. Link Base Dynamic Info.(< 1 sec) ITS anticipative Info. (V2V, V2P, traffic signal, etc.) Semi-dynamic Info.(< 1 min) Accident, Congestion, Local weather etc. Semi-static info.(< 1 hour) Traffic control, Road construction, Weather forecast, etc. Static Info.(< 1 month) Road shape, Topological data, etc. Competitive area Additional data Common (Basic) data Cooperative area Dynamic Map Planning Co., Ltd. was established as a result of 2years SIP activity.

7 7 Establishment of Dynamic map database Dynamic map Required condition Freshness of data/easiness of data updating Scalability Low cost Security etc. Public-Private Partnership Data construction/data collection Dynamic data Semi-dynamic common data Data marge/generation Additional data Data commoditizing Utilization of probe data Automated driving systems Driver support systems Semi-static common data Common (Basic) data Digital road map Lane level map Point cloud data Utilization of probe data Probe data Camera Laser etc. +Data communication module

8 Dynamic Map Planning Co., Ltd Collection Generation Processing Use Common 3D map data Dynamic Map Cooperation Territory Original competition territory Competition territory Automotive Cooperation territory 3D Point cloud Picture etc. Static information Competition territory Common 3D Map data Public work Expansion in sequence DMP cover area Measuremen t outcome Public Information Various dynamic information Future cover area (Material:Dynamic Map Planning Co. Ltd) 8

9 Cyber security 1Common Models of AD for Threat Analysis 2Validation/Evaluation Methods and Criteria 3Certificate Validation of V2X communication 1 st Layer Mobility Society Public Cloud 2 nd Layer Overall vehicle Networ k(lte) Data center Smar t phone Char ge station Diagnosis device V2V V2I Menace Bluetooth Wi-Fi Pr ivate networ k Pr ivate networ k TCU Vehicle Multimedia 情報セキュリティシナリオ作成 WG 資料を入手 Bluetooth Wi-Fi V2X PLC ( For specific study, closely collaborate with SIP cyber security) Gate Way 3 rd Layer In-car system ADAS Power Train Chassis Head unit ADAS XXX Steering Air conditioner Body Locater Layer 1 Layer 2 Layer 3 Layer 4 Comm. module Gateway Vehicle LAN ECU 4 th エンジン Layer Component Brake Door Common models 1To establish threat analysis 1Common architecture model 1Use cases of AD (JAMA) 2Threat Info. (JPCERT/CC Auto-ISAC) 2Evaluation(Attack)Info. (Auto-ISAC) 1User friendliness (JAMA) 1Threat analysis tool 1Comparison with current threat analysis (Jaspar) 9 2To establish Test protocols 2Countermeasure 2Level of Countermeasure 3To reduce V2X signature

10 10 Human Machine Interface To use dynamic map as an advanced traffic info. database for every vehicle, not only as a precise map for automated driving vehicle. 1) To investigate effects of system information on drivers behavior. 2) To investigate effects of driver state on his/her behavior in transition. 3) To investigate effective ways to functionalize AV to be communicative Driver state Readiness Performance at the event Cognitively distracted Physically distracted Low arousal Lack of SA Out of position Controlled Head orientation and visual performance Heart rate and blood pressure Body temperature Skin conductance EEG Posture and body Correlation Longitudinal and lateral control of the vehicle Minimum distance and minimum TTC to the hazard Time spent to regain control

11 11 Pedestrian collision reduction Vehicle-to-Pedestrian (V2P) Communication 700MHz Direct Wireless Communication - 700MHz band communication - - High-precision positioning Danger identification and pedestrian safety support Infrastructure radar with V2I communication 79GHz band radar from roadside of intersection

12 Application Service Provider Related Agency 一般 一般 Priority order delivery Next generation Transport Public Transportation Priority System Road maintenance company Safe, Friendly, Smooth Transportation ART Info. Center Open data Congestion Required time Etc. On-time operation of ART ART information center Information Fixed route bus Operational Info. Delivery Information Open Platform for ART related applications 12 Information Operational Info. Delivery Congestion Required time Etc. ART Railway, Subway Seamless transits with minimum waiting time Bus service company Application Examples * Congestion Prediction * Dynamic Connection Guidance * Remote Diagnostics Railway company

13 Purpose Field Operational Test (FOT) 1. To activate the R&D 2. To prove each elemental technology 3. To enhance international cooperation and harmonization 4. To Build Social acceptance Participant OEM/Supplier University/Research organization Ministries, government officers Foreign OEM/supplier Journalist 13 Period Autumn 2017 ~ beginning of 2019 Main themes

14 Test site Field Operational Test (FOT) Expressway Utilize the part of the following expressway. Total : app.300km. Test facility JARI* Test course; New test facility for ADS evaluation (Apr.17 open) Arterial roads Tokyo waterfront city area (*JARI : Japan Automotive Research Institute) 14

15 15 Dynamic Map(Example) Field Operational Test (FOT) To validate 3D high-resolution digital map data To validate data collection and distribution method To verify the utility of semi dynamic information The map data is provided by SIP-adus. Map data Spec. and Accuracy GNSS Lidar Camera Millimeter wave Radar Data revision and distribution Semi dynamic map data utility Traffic control Congestion Construction Dropping etc. Dynamic Map Center Public info. ITS info of Dynamic map

16 HMI(Example) Field Operational Test (FOT) To collect and analyze the driver state data To define driving readiness status and driver Verification of HMI methods and devices. Drivermonitoring system Angle of view Cyber Security(Example) To Validate the evaluation method Inspect defense functions of ADV Layer 1 Simulation of the attack Layer1: Communication of Out Car Layer2: E/E Architecture Layer3: In Car Bus Protocol Layer4: ECU Software Structure 16

17 Automobile Society BENZ Patent Motorwagen 1907 Piccadilly Circus, London (Toyota Automobile Museum) (Alpshima; sohske.cocolog-nifty.com)

18 Common Platform 18 Satellite C-OEM B-OEM A-OEM Common platform Cooperation with other Clouds Base station Station A-OEM B-OEM Base station Pedestrian A common base platform(map, rule etc.) is necessary for keeping safety and the social order. Promoting harmonization and standardization

19 International Cooperation activities 19 Experts assigned in Focused areas 1.Dynamic Map 2.Connected Vehicle 3.Human Factors 4.Impact Assessment 5.Next Generation Transport 6.Security SIP-adus Workshop

20 Snapshot with speakers from overseas after Minister Tsuruho 20 SIP-adus Workshop 2016 Recognized as a specialized international conference on automated driving, participants from all over the world increased. Sharing latest information, building friendship among experts, were highly evaluated by the participants. Organizer : Cross-Ministerial Strategic Innovation Promotion Program, Council for Science, Technology and Innovation, Cabinet Office, Government of Japan Date : November 15-17, 2016 Venue : Tokyo International Exchange Center Attendees Speakers : 425 from 17 countries : 61 includes 34 speakers and moderators from overseas

21 Mobility bringing everyone a smile! Thank you for kind attention!