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EuroBrake Steering Committee

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Mr. John Smith

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Mr. John Smith

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EuroBrake is organised by FISITA, the international membership organisation that supports the automotive and mobility systems sector in its quest to advance technological development. Having delivered against this mission for every generation of engineers since 1948, we are uniquely placed to promote excellence in mobility engineering and the development of safe, sustainable and affordable mobility solutions.

See FISITA Library items from FISITA Intelligent Safety Conference 2022

ISC2022-CYS-001

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With the development of the E/E architecture of Intelligent and Connected Vehicle (ICV), its core platform has gradually evolved into the hardware with a domain controller / central computing platform, as well as the Vehicle-Control Operating System (OS) and automated driving applications running on it. As a result, ICV will become a “data center” on wheels, and its information security and data security are becoming more and more important. It is necessary to establish an information security protection system with in-depth defense architecture and involve the security technologies of other industries into ICV by integration and innovation. In terms of data security, it is needed to build a security system around the dual lifecycle of automated driving and data processing. In addition, the challenge of automotive-grade requirements should be taken into consideration. We propose a data security architecture and product based on the Vehicle-Control OS to help ICV industry to accomplish the data security and privacy protections.

Cybersecurity

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Data security protection system based on automatic driving basic software, ISC2022-CYS-001, undefined

ISC2022-CYS-002

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Connected and Autonomous Vehicles (CAV) are emerging due to the recent advancement in various transportation technologies. These technologies rely heavily on wireless communication to exchange significant information with each other and neighbouring vehicles. Therefore, ensuring security to these vehicles is extremely important. However, wireless communications are susceptible to various attacks including false data injection, Denial of Service, Replay attacks, to name a few. These attacks pose severe threats to CAV vehicles as they can disrupt their normal operation. To this end, securing such vehicles from attacks is foremost important. In this talk, we will focus on two major aspects: (1) How to perform Threat Analysis and Risk Assessment to identify attacks with highest risks, and (2) How to ensure security to CAVs using trust management techniques.

Cybersecurity

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Security and trust of connected and autonomous vehicles, ISC2022-CYS-002, undefined

ISC2022-CYS-003

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Internet is the foundation of cyberspace. Modern networks such as Internet of vehicles work based on the infrastructure of Internet and use the basic protocols to transfer data. The heterogeneous entities participating in network interactions may vary greatly and their behaviors are quite different. As a result, how to ensure the semantic consistency during the interactions between different network entities and avoid exploitable vulnerabilities are critical to ensure the security and reliability of the Internet. After analyzing the cross-layer interactions of network protocols, this report will introduce a new type of security problems arising during the cross-layer interactions in network stacks, i.e., semantic ambiguity, information leakage and semantic gap. A new detection method over malicious traffic based on frequency domain analysis will also be presented in this report, which can be used to improve the security of information interactions effectively.

Cybersecurity

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Protocol stack security and malicious traffic detection, ISC2022-CYS-003, undefined

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Friday 20 May

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Thursday 19 May

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Tuesday 17 May

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Monday 16 May

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08:00 to 19:30

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20 MAY
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Technical Programme

If you would like further information about the sponsorship opportunities available at Intelligent Safety Conference China, contact the FISITA Sales team via sales@fisita.com 


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30th August (online only)

Global Young Scientist Forum – AI and Intelligent Safety


Keynote address

Why is it so hard to make self-driving cars? (trustworthy autonomous systems), Joseph Sifakis, Verimag Laboratory and recipient of the Turing Award


Panel sessions

Chair and (am session) moderator

  • Yanjun Huang, Tongji University

 Moderators

 

Speakers

AM session (in order of presenting)

  • Intelligence testing of automated vehicles, Li Li, Tsingua University

  • Distributed LiDAR, Ehsan Mihankhah, University of Sydney

  • Resilient control systems for connected and autonomous driving, Ehsan Hashemi, University of Alberta

  • Learning for intelligent safety: Governor-based approaches, Nan Li, Auburn University

  • Introduction of traffic environment recognition technologies for safe urban driving of automated vehicles, Akisue Kuramoto, Tokyo Institute of Technology

  • Cooperative game-theoretic decision-making for connected and automated vehicles on shared roads, Kyoungseok Han, Kyungpook National University


PM session (in order of presenting)

  • Trustworthy artificial intelligence requirements in the autonomous driving domain, David Fernández-Llorca, European Commission Joint Research Centre

  • Safe and trustworthy deep AI for autonomous driving, Saber Fallah, University of Surrey

  • Safe decision-making for autonomous vehicles via human-guided reinforcement learning, Chen Lv, Nanyang Technological University

  • Uncertainty-aware 3D object perception in traffic scenes, Wei Tian, Tongji University

  • The challenges of AI safety in automated vehicles, Jan Pieter Paardekooper, TNO

  • Safety guaranteed control for autonomous vehicles based on MPC framework, Jingjing Jiang, Loughborough University

  • A Bayesian approach with prior mixed strategy nash equilibrium for vehicle intention prediction, Giovanni Lucente, German Aerospace Center


31st August (Xijiao Hotel, Beijing and online)

Plenary


Opening address

Moderator

Speakers


Keynote addresses

Moderator


Speakers

  • Leading the high-quality development of the automotive safety with cross-industry fusion, Guiyou Liang, FAW Group

  • “Curse of rarity” for autonomous vehicles, Henry Liu, University of Michigan

  • Safety aspects of assisted and automated driving Dominik Schuster, BMW Group

  • Towards high-level autonomous driving of vehicle intelligent safety technology, Jianqiang Wang, Tsinghua University


The results of the newly launched SOTIF shared scenario database, test and evaluation technology for ICVs

Moderator


Speaker

  • Hong Wang, Tsinghua University; CAICV-SOTIF Technical Alliance


Road to approval for L3 autonomous vehicle panel discussion

Chair

  • Frank Zhao, FISITA; Tsinghua Automotive Strategy Research Institute (TASRI); Automotive Innovation


Panellists



Technical Sessions 

SOTIF & Test and Evaluation

Moderators


Topics and speakers (in order of presenting)

  • Combined data and knowledge driven technologies for autonomous driving Hong Chen, Tongji University

  • Critical scenario based validation methods for autonomous driving, Siddartha Khastgir, University of Warwick

  • AI challenges in automatic driving, Hong Cheng, University of Electronic Science and Technology of China

  • A key for SOTIF: Driving scenario, identification and generation, Ding Zhao, Carnegie Mellon University 

  • AI-related SOTIF monitoring and guarantee system for high-level autonomous vehicles, Hong Wang, Tsinghua University; CAICV-SOTIF Technical Alliance

  • ISO 21448: SOTIF @ BMW, Florian Raisch, BMW Group

  • Scenario-based SOTIF test and evaluation solutions, Shulian Zhao, China Automotive Engineering Research Institute Co. Ltd.

  • In-door testing for ADAS/ADS development & validation - benefits and challenges, Rainer Hoffmann, Shanghai Digauto Automobile Technology

  • Human factors research based on driving simulator and ADAS and CAV testing in proving ground, David Gallegos, Applus+ IDIADA 


Cybersecurity

Moderators


Topics and speakers (in order of presenting)

  • Data security protection system based on automatic driving basic software, Jin Shang, AICC; CICV; Tsinghua University

  • Security and trust of connected and autonomous vehicles, Farhan Ahmad, Coventry University

  • Protocol stack security and malicious traffic detection, Ke Xu, Tsinghua University

  • Impact of the UNR155 cybersecurity regulation within an OEM, Pierre Gachon, Renault Group

  • Comprehensive service platform for auto cyber and data security, Yifan Tong, CAERI Automotive Technology Co., Ltd.

  • Cyber to physical: security threats from intelligent connected vehicles, Minrui Yan, Qihoo 360 Technology Co. Ltd. 

  • A high consistency wireless key generation scheme for vehicular communication based on wiener filter extrapolation, Linning Peng, Southeast University

  • Functional safety and cybersecurity: a unified approach, Long Lu, NIO; Northeastern University


Impacts of Human Factors on Safety

Moderator


Speakers (in order of presenting)

  • Human performance models - factors of driver and interaction, Fang Chen, Jilin University

  • Human factors and driving safety: A summary of current issues and needs, Paul Green, University of Michigan

  • Evaluation method for Automotive HMI safety and efficiency, Jun Ma, Tongji University

  • Driver feedback to support takeover control during automated driving, Huei-Yen (Winnie) Chen, University of Buffalo

  • Human-machine interaction and cooperative control optimization for human-machine shared driving, Nengchao Lv, Wuhan University of Technology 

  • A formal method for including the probability of erroneous human task behavior in system analyses, Matthew Bolton, University of Virginia

  • Structuring the sound design process for the automotive industry: communication and subjective evaluation, Joshua Thomas Cotterill, Jilin University

  • Automation: the safety is still dependent on human factors, Anne Guillaume, French National Road Safety Council

  • Unknown unsafe scenario identified from uncivilities: Lessons learned from automated vehicle FOTs in the SAM project, Jean-Baptiste Haué, LAB France


Smart Safety Protection

Moderator


Speakers (in order of presenting)

  • Crash analysis, scenario derivation and risk evaluation for ICV test, Helai Huang, Central South University

  • The lap belt interaction with the pelvis of rear seat occupants in vehicle impacts, Koji Mizuno, Nagoya University

  • Exploring the safety issues in software defined vehicles, Jin Huang, Tsingua University

  • End-to-end closed-loop data-driven assessment application, Fan Zhang, HoloMatic Technology (Beijing) Co., Ltd. 

  • Luneburg lens enabled imaging radar sensor with panoramic view for ADAS and AV, Hao Xin, Lunewave

  • Environment perception of intelligent vehicles for pedestrian safety, Yu Meng, University of Science and Technology Beijing

  • Dynamic responses of road users and intelligent protection in safety-critical scenarios, Bingbing Nie, Tsinghua University 

  • Euro NCAP: promoting new advancements in safety, Michiel van Ratigen, EuroNCAP


Smart Safety Protection panel discussion

  • Gongyao Gu, Volkswagen (China) Investment Co., Ltd. 

  • Yong Han, Xiamen University of Technology

  • Helai Huang, Central South University 

  • Jin Huang, Tsinghua University

  • Yu Meng, University of Electronic Science and Technology of China

  • Koji Mizuno, Nagoya University

  • Michiel van Ratingen, Euro NCAP

  • Bingbing Nie, Tsinghua University 

  • Fan Zhang, HoloMatic Technology (Beijing) Co., Ltd. 

Preliminary Programme

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The FISITA Intelligent Safety Conference China was established by FISITA and China SAE and brings together global scholars, technical leaders and engineers from the field of intelligent driving safety with innovative methods, technologies and solutions. The conference will deliver a high-profile, national and international speaker line-up, which will consider and discuss the important topics effecting the safety of future mobility arena.


The 4th annual FISITA Intelligent Safety Conference China (ISCC 2022) took place on 30-31 August 2022, in Beijing, China, with online participation available to registered participants. 


On 30th August, there was an online session, 'Global Young Scientist Forum – AI and Intelligent Safety' which discussed the realization of autonomous driving and the challenges which need to be solved, among which safety is the most critical. The integration of Artificial Intelligence (AI) technology in autonomous vehicles was also discussed.


The conference once again saw an international speaker line up considering some of the most important topics within the safety of future mobility arena, including:

 

  • SOTIF and Test & Evaluation 

  • Cybersecurity 

  • Impacts of Human Factors on Safety 

  • Smart Safety Protection


About

FISITA Intelligent Safety Conference 2022

29 Aug 2022 to 31 Aug 2022, Beijing and Online

FISITA Intelligent Safety Conference 2022

29 Aug 2022 to 31 Aug 2022, Beijing and Online