most citedMulti-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding

189 citations · 326 across the 15 of their papers we have counts for

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6 papers · 1 filter

eess.SY20211 cited

Decision Making of Connected Automated Vehicles at An Unsignalized Roundabout Considering Personalized Driving Behaviours

Peng Hang, Chao Huang, Zhongxu Hu +2

To improve the safety and efficiency of the intelligent transportation system, particularly in complex urban scenarios, in this paper a game theoretic decision-making framework is…

eess.SY20215 cited

Cooperative Decision Making of Connected Automated Vehicles at Multi-lane Merging Zone: A Coalitional Game Approach

Peng Hang, Chen Lv, Chao Huang +2

To address the safety and efficiency issues of vehicles at multi-lane merging zones, a cooperative decision-making framework is designed for connected automated vehicles (CAVs) usi…

eess.SY20211 cited

Human-Machine Adaptive Shared Control for Safe Automated Driving under Automation Degradation

Chao Huang, Chen Lv, Peng Hang +2

In this paper, a human-machine adaptive shared control method is proposed for automated vehicles (AVs) under automation performance degradation. First, a novel risk assessment modu…

eess.SY20204 cited

An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors

Peng Hang, Chen Lv, Chao Huang +3

This paper presents a novel integrated approach to deal with the decision making and motion planning for lane-change maneuvers of autonomous vehicle (AV) considering social behavio…

eess.SY2020

A Unified Multi-scale and Multi-task Learning Framework for Driver Behaviors Reasoning

Yang Xing, Chen Lv, Dongpu Cao +1

Mutual understanding between driver and vehicle is critically important to the design of intelligent vehicles and customized interaction interface. In this study, a unified driver…

eess.SY20202 cited

Human-Machine Collaboration for Automated Vehicles via an Intelligent Two-Phase Haptic Interface

Chen Lv, Yutong Li, Yang Xing +4

Prior to realizing fully autonomous driving, human intervention will be required periodically to guarantee vehicle safety. This fact poses a new challenge in human-machine interact…