4 papers
Prediction of Lane Change Intentions of Human Drivers using an LSTM, a CNN and a Transformer
Francesco De Cristofaro, Felix Hofbaur, Aixi Yang +1
Lane changes of preceding vehicles have a great impact on the motion planning of automated vehicles especially in complex traffic situations. Predicting them would benefit the publ…
Toward a Full-Stack Co-Simulation Platform for Testing of Automated Driving Systems
Dong Bi, Yongqi Zhao, Zhengguo Gu +3
Virtual testing has emerged as an effective approach to accelerate the deployment of automated driving systems. Nevertheless, existing simulation toolchains encounter difficulties…
A Communication-Latency-Aware Co-Simulation Platform for Safety and Comfort Evaluation of Cloud-Controlled ICVs
Yongqi Zhao, Xinrui Zhang, Tomislav Mihalj +10
Testing cloud-controlled intelligent connected vehicles (ICVs) requires simulation environments that faithfully emulate both vehicle behavior and realistic communication latencies.…
A Survey on the Application of Large Language Models in Scenario-Based Testing of Automated Driving Systems
Yongqi Zhao, Ji Zhou, Dong Bi +3
The safety and reliability of Automated Driving Systems (ADSs) must be validated prior to large-scale deployment. Among existing validation approaches, scenario-based testing has b…