7 citations · 10 across the 4 of their papers we have counts for
4 papers
MapATM: Enhancing HD Map Construction through Actor Trajectory Modeling
Mingyang Li, Brian Lee, Rui Zuo +3
High-definition (HD) mapping tasks, which perform lane detections and predictions, are extremely challenging due to non-ideal conditions such as view occlusions, distant lane visib…
Human Driver Behavior Prediction based on UrbanFlow
Zhiqian Qiao, Jing Zhao, Zachariah Tyree +3
How autonomous vehicles and human drivers share public transportation systems is an important problem, as fully automatic transportation environments are still a long way off. Unde…
Hierarchical Reinforcement Learning Method for Autonomous Vehicle Behavior Planning
Zhiqian Qiao, Zachariah Tyree, Priyantha Mudalige +2
In this work, we propose a hierarchical reinforcement learning (HRL) structure which is capable of performing autonomous vehicle planning tasks in simulated environments with multi…
Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks
Yilun Chen, Praveen Palanisamy, Priyantha Mudalige +2
A safe and robust on-road navigation system is a crucial component of achieving fully automated vehicles. NVIDIA recently proposed an End-to-End algorithm that can directly learn s…