WS12: Offline test and Evaluation for Autonomous Driving
( CFP )

Workshop Code: 1u8v5


  • Yuehu Liu
    Affiliation: Xi’an Jiaotong University, China

  • Yuanqi Su
    Affiliation: Xi’an Jiaotong University, China

  • Chi Zhang
    Affiliation: Xi’an Jiaotong University, China

Scope and Goals

The development of autonomous driving demands massive tests, both online and offline. The online test suffers from several limitations, including its high testing cost, the potential violation to public safety, and the restricts from the law. Unlike the online test, the offline tests are not limited by the testing fields. It can cover the validation from the algorithm to the whole system, and systematically check adaptability to different environments and capability of the autonomous driving. The workshop focuses on the offline testing and try to encourage the research on the offline testing theories, methods, tools and datasets.

Topics of Interest

  • Dataset and testing benchmarks for autonomous driving
  • Processing and organization of sensor data
  • Virtual Sensors for offline testing
  • Hardware-in-the-loop simulation and testing
  • System Architecture of offline test
  • Evaluation of environmental cognitive ability for autonomous driving
  • Evaluation of the intelligent level for autonomous driving
  • Offline test of recognition and understanding for traffic environment
  • Offline test of driving behavior planning and decision making