4 papers · 1 filter
GM3: A General Physical Model for Micro-Mobility Vehicles
Grace Cai, Nithin Parepally, Laura Zheng +1
Modeling the dynamics of micro-mobility vehicles (MMV) is becoming increasingly important for training autonomous vehicle systems and building urban traffic simulations. However, m…
Quantifying and Modeling Driving Styles in Trajectory Forecasting
Laura Zheng, Hamidreza Yaghoubi Araghi, Tony Wu +3
Trajectory forecasting has become a popular deep learning task due to its relevance for scenario simulation for autonomous driving. Specifically, trajectory forecasting predicts th…
DISC: Dataset for Analyzing Driving Styles In Simulated Crashes for Mixed Autonomy
Sandip Sharan Senthil Kumar, Sandeep Thalapanane, Guru Nandhan Appiya Dilipkumar Peethambari +3
Handling pre-crash scenarios is still a major challenge for self-driving cars due to limited practical data and human-driving behavior datasets. We introduce DISC (Driving Styles I…
TRAVERSE: Traffic-Responsive Autonomous Vehicle Experience & Rare-event Simulation for Enhanced safety
Sandeep Thalapanane, Sandip Sharan Senthil Kumar, Guru Nandhan Appiya Dilipkumar Peethambari +4
Data for training learning-enabled self-driving cars in the physical world are typically collected in a safe, normal environment. Such data distribution often engenders a strong bi…