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

189 citations · 219 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO20206 cited

Interaction-Aware Trajectory Prediction of Connected Vehicles using CNN-LSTM Networks

Xiaoyu Mo, Yang Xing, Chen Lv

Predicting the future trajectory of a surrounding vehicle in congested traffic is one of the basic abilities of an autonomous vehicle. In congestion, a vehicle's future movement is…

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…

cs.RO202018 cited

Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach

Peng Hang, Chen Lv, Yang Xing +2

Considering that human-driven vehicles and autonomous vehicles (AVs) will coexist on roads in the future for a long time, how to merge AVs into human drivers traffic ecology and mi…

cs.RO2020189 cited

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

Zhiyu Huang, Chen Lv, Yang Xing +1

This study aims to improve the performance and generalization capability of end-to-end autonomous driving with scene understanding leveraging deep learning and multimodal sensor fu…

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…