55 citations · 68 across the 7 of their papers we have counts for
7 papers
Speeding Up Path Planning via Reinforcement Learning in MCTS for Automated Parking
Xinlong Zheng, Xiaozhou Zhang, Donghao Xu
In this paper, we address a method that integrates reinforcement learning into the Monte Carlo tree search to boost online path planning under fully observable environments for aut…
Learning from Naturalistic Driving Data for Human-like Autonomous Highway Driving
Donghao Xu, Zhezhang Ding, Xu He +4
Driving in a human-like manner is important for an autonomous vehicle to be a smart and predictable traffic participant. To achieve this goal, parameters of the motion planning mod…
Driver Identification through Stochastic Multi-State Car-Following Modeling
Donghao Xu, Zhezhang Ding, Chenfeng Tu +4
Intra-driver and inter-driver heterogeneity has been confirmed to exist in human driving behaviors by many studies. In this study, a joint model of the two types of heterogeneity i…
Cross Scene Prediction via Modeling Dynamic Correlation using Latent Space Shared Auto-Encoders
Shaochi Hu, Donghao Xu, Huijing Zhao
This work addresses on the following problem: given a set of unsynchronized history observations of two scenes that are correlative on their dynamic changes, the purpose is to lear…
Scene-Aware Error Modeling of LiDAR/Visual Odometry for Fusion-based Vehicle Localization
Xiaoliang Ju, Donghao Xu, Huijing Zhao
Localization is an essential technique in mobile robotics. In a complex environment, it is necessary to fuse different localization modules to obtain more robust results, in which…
Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning
Zeyu Zhu, Nan Li, Ruoyu Sun +2
Terrain traversability analysis is a fundamental issue to achieve the autonomy of a robot at off-road environments. Geometry-based and appearance-based methods have been studied in…
Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-supervised Learning
Jilin Mei, Biao Gao, Donghao Xu +3
This work studies the semantic segmentation of 3D LiDAR data in dynamic scenes for autonomous driving applications. A system of semantic segmentation using 3D LiDAR data, including…