Panel on Dependability Software for Autonomous Vehicles


Today’s automobile industry has faced three challenges: from the internal combustion engine to the electric engine, from human driver-based mechanical operations to software-enabled autonomous driving, and from the ownership business model to the mobility as a service. The transformation will not only reshape the automobile industry in the coming decade with the trillion-dollar new market opportunities but will also offer humanity a better future with cleaner energy consumption, cheaper and safer transportation services, and more efficient use of the urban infrastructures.

However, the application of immature and unreliable software in autonomous driving has caused fatal accidents resulting in property loss or even loss of life. Improving the dependability (including safety, security, reliability, etc.) of such software is very challenging. On one hand, software for autonomous vehicles must deal with highly dynamic and volatile environments. On the other hand, it needs to incorporate increasingly complicated new technologies based on the use of machine vision, motion sensors, image and voice recognition, and artificial intelligence to interact with surrounding environments and respond to the continuous changes for appropriate solutions.

The Technical Committee on Electric Autonomous Vehicles (EVA) of the IEEE Reliability Society will collaborate with the Ninth International Conference on Dependable Systems and Their Applications (DSA 2022) to organize a one-day workshop on August 4th to discuss techniques and experiences that can help practitioners develop highly dependable software for safe, secure, and reliable autonomous vehicles.


The list of topics includes, but is not limited to:

  • Autonomous vehicle software vulnerability assessment, risk analysis, attack, and threat models
  • Safe design and implementation of autonomous vehicle software, and applications for autonomous vehicles
  • Autonomous vehicle operating system security
  • Availability, resiliency and fault tolerance in autonomous vehicle software
  • Autonomous vehicle software testing, verification, and validation
  • Autonomous vehicle software quality evaluation methodologies and metrics
  • Autonomous vehicle software forensics, events monitoring, and auditing
  • Autonomous vehicle software standardization, certification, and interoperability
  • Secure intra-vehicle, vehicle-to-vehicle, and other vehicular network communications
  • Testing of machine learning components for autonomous vehicles
  • Practical experiences, empirical studies, and testbeds for autonomous vehicle software
  • Industrial experiences and best practices for autonomous vehicle software development
  • Program synthesis for autonomous vehicle software


Zijiang James Yang's avatar
Zijiang James Yang China

Xian Jiaotong University & GuardStrike Inc., China

Lei Bu's avatar
Lei Bu China

Nanjing University, China

Invited Speakers

Invited Talk 1: Robust Time-sensitive Networking for Autonomous Driving
wanli-chang's avatar
Professor Wanli Chang China

Professor, College of Computer Science and Electronic Engineering
Hunan University

Awardee of Best Dissertation Award at Technical University of Munich, in 2017
Secretary of ACM SIGBED

Invited Talk 2: Perception Enhancement in Complex Outdoor Scenarios
by Spatial-temporal Methods
kai-huang's avatar
Professor Kai Huang China

Director, the Institute of Artificial Intelligence and Unmanned Systems of the School of Computer Science
Sun Yat-Sen University

The editor of Journal of Circuits, Systems, and Computers
Committee member of Embedded Systems, China Computer Federation

Invited Talk 3: Data-driven Testing for Perception Components of Autonomous Driving Systems
feng-yang's avatar
Professor Yang Feng China

Professor, Department of Computer Science and Technology
Nanjing University

Proceeding Chair of the 13th IEEE/ACM International Conference on Global Software Engineering (ICGSE 2019)
Program Committee Member of the 26th International Conference on Software Analysis, Evolution and Reengineering, Industrial Track (SANER 2019)

Invited Talk 4: Online Verification-based Safety Monitoring and Control Synthesis of Real-time Cyber-physical System
lei-bu's avatar
Professor Lei Bu China

Professor, Software Institute
Nanjing University

Awardee of NASAC Young Software Innovation in 2019
Participant of Young Talent Development Program, China Computer Federation

Invited Talk 5: Path Planning for Self-Driving Vehicles: An Online RRT-based Algorithm and Deep Reinforcement Learning Approaches
Jianmin-Ji's avatar
Professor Jianmin Ji China

Professor, School of Computer Science and Technology
University of Science and Technology of China

Winner of Best Technique Solutions for Cognition, RoboCup@Home, in 2015
Winner of Best Autonomous Robotics Video, IJCAI-13 Video Award, in 2013

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