64 citations · 165 across the 19 of their papers we have counts for
6 papers · 1 filter
Multi-agent Interactive Prediction under Challenging Driving Scenarios
Weihao Xuan, Ruijie Ren
In order to drive safely on the road, autonomous vehicle is expected to predict future outcomes of its surrounding environment and react properly. In fact, many researchers have be…
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving
Jiachen Li, Wei Zhan, Yeping Hu +1
Accurately tracking and predicting behaviors of surrounding objects are key prerequisites for intelligent systems such as autonomous vehicles to achieve safe and high-quality decis…
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…
Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios
Yeping Hu, Alireza Nakhaei, Masayoshi Tomizuka +1
In order to drive safely and efficiently under merging scenarios, autonomous vehicles should be aware of their surroundings and make decisions by interacting with other road partic…
Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model
Yeping Hu, Wei Zhan, Liting Sun +1
For autonomous agents to successfully operate in real world, the ability to anticipate future motions of surrounding entities in the scene can greatly enhance their safety levels s…