509 citations · 1.1k across the 28 of their papers we have counts for
5 papers · 2 filters
ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction
Xiaoyu Mo, Yang Xing, Chen Lv
Predicting the future trajectory of surrounding vehicles is essential for the navigation of autonomous vehicles in complex real-world driving scenarios. It is challenging as a vehi…
Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
Zhiyu Huang, Jingda Wu, Chen Lv
Driving behavior modeling is of great importance for designing safe, smart, and personalized autonomous driving systems. In this paper, an internal reward function-based driving mo…
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…
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…
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…