20 citations · 27 across the 4 of their papers we have counts for
5 papers · 1 filter
Transferable and Adaptable Driving Behavior Prediction
Letian Wang, Yeping Hu, Liting Sun +3
While autonomous vehicles still struggle to solve challenging situations during on-road driving, humans have long mastered the essence of driving with efficient, transferable, and…
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…
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios
Wei Zhan, Liting Sun, Yeping Hu +2
Autonomous vehicles should be able to generate accurate probabilistic predictions for uncertain behavior of other road users. Moreover, reactive predictions are necessary in highly…