Simulators play a crucial role in autonomous driving, offering significant time, cost, and labor
savings. Over the past few years, the number of simulators for autonomous driving has …

Simulation plays a critical role in the research and development of autonomous driving and
intelligent transportation systems. However, the current simulation platforms exhibit …

Driver models play a vital role in developing and verifying autonomous vehicles (AVs).
Previously, they were mainly applied in traffic flow simulation to model driver behavior. With …

Simulators have irreplaceable importance for the research and development of autonomous
driving. Besides saving resources, labor, and time, simulation is the only feasible way to …

Lane-changing is one of the typical maneuvers with high risk, which can cause
uncomfortable brake and dangerous crash. An experienced human driver keeps an eye on …

The success of many web services relies on the large-scale domain-specific high-quality
labeled dataset. Insufficient public datasets motivate us to reduce the cost of data labeling …

We develop a generic mechanism for generating vehicle-type specific sequences of
waypoints from a probabilistic foundation model of driving behavior. Many foundation …

The significance of forecasting the behavior of road agents is on the rise, particularly in
Advanced Driver Assistance Systems (ADAS) enhancement. Predicting road agents' …

Understanding the behavior of human drivers is critical for the successful deployment of
autonomous vehicles. Driver modeling is challenging due to the uncertainty inherent in …

An accurate model of human drivers is essential to validate the performance of autonomous
vehicles in multiagent and interactive scenarios. Previous works on human driver modeling …