Cheng Wang

Cheng Wang

About

I am currently a Postdoc in the Autonomous Agents Research Group at University of Edinburgh. My research focuses on explainable AI with a particular emphasis on autonomous vehicles. I was previously a PhD student in Institute of Automotive Engineering at Technical University of Darmstadt with the research topic of autonomous vehicle safety. I obtained my Master at Tongji University and Bachelor at the Wuhan University of Technology.

News

  • 21/08/2023 Our paper about adversarial datasets for testing lane marking detection algorithms is accepted by the international Conference on Vehicular Control and Intelligence (CVCI) 2023!
  • 01/07/2023 Our paper about goal recognition for autonomous vehicles is accepted by IEEE IROS 2023!
  • 10/10/2022 I joined the Autonomous Agents Research Group as a Postdoc.
  • 26/10/2021 I passed my doctoral examination with very good with the title of “Silent Testing for Safety Validation of Automated Driving in Field Operation”.

Publications

  1. Y.X. Zhang, C. Wang*, R.L. Yu, et al., “The AD4CHE Dataset and its Application in Typical Congestion Scenarios of Traffic Jam Pilot Systems,” in IEEE Transactions on intelligent vehicles, pp. 1-12, 2023, doi: 10.1109/TIV.2023.3260902 .
  2. C. Wang, C. Popp and H. Winner, “Acceleration-Based Collision Criticality Metric for Holistic Online Safety Assessment in Automated Driving,” in IEEE Access, vol. 10, pp. 70662-70674, 2022, doi: 10.1109/ACCESS.2022.3186765 .
  3. C. Wang, K. Storms and H. Winner, “Online Safety Assessment of Automated Vehicles Using Silent Testing,” in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 8, pp. 13069-13083, Aug. 2022, doi: 10.1109/TITS.2021.3119546 .
  4. C. Wang, F. Xiong and H. Winner, “Reduction of Uncertainties for Safety Assessment of Automated Driving Under Parallel Simulations,” in IEEE Transactions on Intelligent Vehicles, vol. 6, no. 1, pp. 110-120, March 2021, doi: 10.1109/TIV.2020.2987437 .
  5. C. Wang and H. Winner, “Overcoming Challenges of Validation Automated Driving and Identification of Critical Scenarios,” 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019, pp. 2639-2644, doi: 10.1109/ITSC.2019.8917045 .
  6. B. Gyevnar, M. Tamborski, C. Wang, C. G. Lucas, S. B. Cohen, and S. V. Albrecht. “A human-centric method for generating causal explanations in natural language for autonomous vehicle motion planning.” arXiv preprint arXiv:2206.08783 (2022).
  7. B.Gyevnar, C.Wang, C. G.Lukas, S. B.Cohen, S. V.Albrecht. Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making. arXiv preprint arXiv:2302.10809. 2023 Feb 21.
  8. C. Wang, F.W. Guo, R.L Yu, L.Y. Wang, Y.X. Zhang. The Application of Driver Models in the Safety Assessment of Autonomous Vehicles: A Survey. arXiv preprint arXiv:2303.14779, 2023 Mar 26.
  9. C. Brewitt, M. Tamborski, C.Wang, S.V. Albrecht. Verifiable Goal Recognition for Autonomous Driving with Occlusions. IEEE IROS 2023.
  10. H.H. He, C. Wang, Y.X. Zhang, M. Zhao, Benchmark for SOTIF of Lane Marking Detection Algorithms of Autonomous Vehicles, CVCI 2023.

Projects

  • 2019-2021, Verification and validation methods for automated vehicles in urban environments (VVM)
  • 2017-2021, Automated driving darmstadt for students (aDDa)
  • 2017-2021, Virtual assessment of automation in field operation (VAAFO)