activity
20182023
most cited"Curse of rarity" for autonomous vehicles

9 citations · 16 across the 6 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.RO2021

A hierarchical behavior prediction framework at signalized intersections

Zhen Yang, Rusheng Zhang, Henry X. Liu

Road user behavior prediction is one of the most critical components in trajectory planning for autonomous driving, especially in urban scenarios involving traffic signals. In this…

physics.soc-ph2021

A probabilistic model for missing traffic volume reconstruction based on data fusion

Xintao Yan, Yan Zhao, Henry X. Liu

Traffic volume information is critical for intelligent transportation systems. It serves as a key input to transportation planning, roadway design, and traffic signal control. Howe…

cs.AI2021★ 4 cited

Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles

Haowei Sun, Shuo Feng, Xintao Yan +1

Testing and evaluation is a crucial step in the development and deployment of Connected and Automated Vehicles (CAVs). To comprehensively evaluate the performance of CAVs, it is of…

eess.SY2021★ 2 cited

A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing

Lin Liu, Shuo Feng, Yiheng Feng +2

In the simulation-based testing and evaluation of autonomous vehicles (AVs), how background vehicles (BVs) drive directly influences the AV's driving behavior and further impacts t…

eess.SY2021

Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing

Xintao Yan, Shuo Feng, Haowei Sun +1

Microscopic traffic simulation provides a controllable, repeatable, and efficient testing environment for autonomous vehicles (AVs). To evaluate AVs' safety performance unbiasedly,…