Cheng Wang

Orcid: 0000-0002-5309-8115

Affiliations:
  • University of Edinburgh, UK
  • Technical University of Darmstadt, Darmstadt, Germany (former)


According to our database1, Cheng Wang authored at least 20 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2025
Decomposition and Quantification of SOTIF Requirements for Perception Systems of Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., August, 2025

UniSTPA: A Safety Analysis Framework for End-to-End Autonomous Driving.
CoRR, May, 2025

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification.
CoRR, May, 2025

HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario Generation.
CoRR, March, 2025

FedPRM: Federated Personalized Mixture Representation for Driver Intention Prediction.
IEEE Trans. Intell. Veh., January, 2025

AV-SLAF: A Scenario-Layered Framework for Safety Analysis of Autonomous Vehicles Based on STPA and CTA.
Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2025 Workshops, 2025

2024
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review.
IEEE Trans. Intell. Transp. Syst., December, 2024

The Application of Driver Models in the Safety Assessment of Autonomous Vehicles: Perspectives, Insights, Prospects.
IEEE Trans. Intell. Veh., January, 2024

Requirements Decomposition for Perception Systems of Autonomous Vehicles: A Case Study of Multi-Object Tracking.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Causal Explanations for Sequential Decision-Making in Multi-Agent Systems.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
The AD4CHE Dataset and Its Application in Typical Congestion Scenarios of Traffic Jam Pilot Systems.
IEEE Trans. Intell. Veh., May, 2023

The Application of Driver Models in the Safety Assessment of Autonomous Vehicles: A Survey.
CoRR, 2023

Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making.
CoRR, 2023

Verifiable Goal Recognition for Autonomous Driving with Occlusions.
IROS, 2023

2022
Online Safety Assessment of Automated Vehicles Using Silent Testing.
IEEE Trans. Intell. Transp. Syst., 2022

A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning.
CoRR, 2022

Deep reinforcement learning for multi-agent interaction.
AI Commun., 2022

Acceleration-Based Collision Criticality Metric for Holistic Online Safety Assessment in Automated Driving.
IEEE Access, 2022

2021
Reduction of Uncertainties for Safety Assessment of Automated Driving Under Parallel Simulations.
IEEE Trans. Intell. Veh., 2021

2019
Overcoming Challenges of Validation Automated Driving and Identification of Critical Scenarios.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019


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