354 citations · 396 across the 23 of their papers we have counts for
6 papers · 1 filter
Multiple criteria decision-making for lane-change model
Ao Li, Liting Sun, Wei Zhan +1
Simulation has long been an essential part of testing autonomous driving systems, but only recently has simulation been useful for building and training self-driving vehicles. Vehi…
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
Wei Zhan, Liting Sun, Di Wang +8
Behavior-related research areas such as motion prediction/planning, representation/imitation learning, behavior modeling/generation, and algorithm testing, require support from hig…
Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors
Yeping Hu, Liting Sun, Masayoshi Tomizuka
Accurately predicting future behaviors of surrounding vehicles is an essential capability for autonomous vehicles in order to plan safe and feasible trajectories. The behaviors of…
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory
Liting Sun, Wei Zhan, Yeping Hu +1
Understanding human driving behavior is important for autonomous vehicles. In this paper, we propose an interpretable human behavior model in interactive driving scenarios based on…
Behavior Planning of Autonomous Cars with Social Perception
Liting Sun, Wei Zhan, Ching-Yao Chan +1
Autonomous cars have to navigate in dynamic environment which can be full of uncertainties. The uncertainties can come either from sensor limitations such as occlusions and limited…
Towards Better Human Robot Collaboration with Robust Plan Recognition and Trajectory Prediction
Yujiao Cheng, Liting Sun, Changliu Liu +1
Human robot collaboration (HRC) is becoming increasingly important as the paradigm of manufacturing is shifting from mass production to mass customization. The introduction of HRC…