3 papers
cs.AI2025
Advanced Assistance for Traffic Crash Analysis: An AI-Driven Multi-Agent Approach to Pre-Crash Reconstruction
Gerui Xu, Boyou Chen, Huizhong Guo +6
Traffic collision reconstruction traditionally relies on human expertise and can be accurate, but pre-crash reconstruction is more challenging. This study develops a multi-agent AI…
cs.RO2025
Car-STAGE: Automated framework for large-scale high-dimensional simulated time-series data generation based on user-defined criteria
Asma A. Almutairi, David J. LeBlanc, Arpan Kusari
Generating large-scale sensing datasets through photo-realistic simulation is an important aspect of many robotics applications such as autonomous driving. In this paper, we consid…
cs.RO2024
Evaluation of automated driving system safety metrics with logged vehicle trajectory data
Xintao Yan, Shuo Feng, David J. LeBlanc +2
Real-time safety metrics are important for the automated driving system (ADS) to assess the risk of driving situations and to assist the decision-making. Although a number of real-…