activity
20202023
most citedMilestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys

509 citations · 1.1k across the 28 of their papers we have counts for

collaborators

29 papers

cs.AI2023★ 140 cited

Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors

Long Chen, Yuchen Li, Chao Huang +10

Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace due to the convenience, safety, and economic benefits. Although a number of surveys ha…

cs.RO2023★ 509 cited

Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys

Long Chen, Yuchen Li, Chao Huang +13

Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace due to the convenience, safety, and economic benefits. Although a number of surveys ha…

cs.RO2022

Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning

Jingda Wu, Wenhui Huang, Niels de Boer +3

Decision-making is critical for lane change in autonomous driving. Reinforcement learning (RL) algorithms aim to identify the values of behaviors in various situations and thus the…

cs.HC2022★ 2 cited

Multi-task Driver Steering Behaviour Modeling Using Time-Series Transformer

Yang Xing, Wenbo Li, Xiaoyu Mo +1

Human intention prediction provides an augmented solution for the design of assistants and collaboration between the human driver and intelligent vehicles. In this study, a multi-t…

eess.SY2022

Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach

Peng Hang, Chao Huang, Zhongxu Hu +1

Considering personalized driving preferences, a new decision-making framework is developed using a differential game approach to resolve the driving conflicts of autonomous vehicle…

cs.RO2021★ 4 cited

Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving

Zhiyu Huang, Xiaoyu Mo, Chen Lv

Predicting the behaviors of other agents on the road is critical for autonomous driving to ensure safety and efficiency. However, the challenging part is how to represent the socia…