Ying Li

49 papers A* 1A 2C 2Journal 38Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
EMKG: Embodied Memory Knowledge Graphs for Object-Goal Navigation in Dynamic Open Worlds.
IEEE Robotics Autom. Lett.
Mingyi Li, Hui Liu, Ying Li, Shubo Zhang, Chunle Gao, Xiaokang Ma, Hanqing Hu, Weixin Mao
2026 J jnl
Global relationship awareness 3-dimensional object detection using 4-dimensional radar.
Eng. Appl. Artif. Intell.
Pianzhang Duan, Li Wang, Cheng Fang, Ziying Song, Ming Gao, Mo Zhou, Ying Li, Yibo Zhang, Wei Fan, Bin Xu
2026 J jnl
Pedestrian Group Activity Recognition for Autonomous Vehicles and Robots: A Survey and Perspectives.
IEEE Trans. Cybern.
Yuzhu Jiang, Chao Yang, Weida Wang, Zhijun Li, Dongpu Cao, Ying Li
2026 J jnl
Towards Next-Generation SLAM: A Survey on 3DGS-SLAM Focusing on Performance, Robustness, and Future Directions.
CoRR
Li Wang, Ruixuan Gong, Yumo Han, Lei Yang, Lu Yang, Ying Li, Bin Xu, Huaping Liu, Rong Fu
2025 J jnl
An improved elitist-Q-Learning path planning strategy for VTOL air-ground vehicle using convolutional neural network mode prediction.
Adv. Eng. Informatics
Jing Zhao, Chao Yang, Weida Wang, Ying Li, Tianqi Qie, Bin Xu
2025 J jnl
PADriver: Towards Personalized Autonomous Driving.
CoRR
Genghua Kou, Fan Jia, Weixin Mao, Yingfei Liu, Yucheng Zhao, Ziheng Zhang, Osamu Yoshie, Tiancai Wang, Ying Li, Xiangyu Zhang
2025 J jnl
Wheel-Legged SLAM: Indoor LiDAR-Inertial SLAM Integrating Kinematic Model of Wheel-Legged Robots.
IEEE Robotics Autom. Lett.
Yan Wen, Ying Li, Qingyi Shang, Chaoyang Jiang, Hongyu Hou, Hui Liu, Yifan Zhang, Lijin Han
2024 J jnl
A Self-Trajectory Prediction Approach for Autonomous Vehicles Using Distributed Decouple LSTM.
IEEE Trans. Ind. Informatics
Tianqi Qie, Weida Wang, Chao Yang, Ying Li
2024 J jnl
A new efficient algorithm for short path planning of the vertical take-off and landing air-ground integrated vehicle.
Eng. Appl. Artif. Intell.
Jing Zhao, Weida Wang, Chao Yang, Ying Li, Liuquan Yang, Jiankang Cheng
2024 J jnl
Focal-PETR: Embracing Foreground for Efficient Multi-Camera 3D Object Detection.
IEEE Trans. Intell. Veh.
Shihao Wang, Xiaohui Jiang, Ying Li
2024 J jnl
GauLoc: 3D Gaussian Splatting-based Camera Relocalization.
Comput. Graph. Forum
Zhe Xin, Chengkai Dai, Ying Li, Chenming Wu
2024 J jnl
HEROS: Hierarchical Exploration with Online Subregion Updating for 3D Environment Coverage.
CoRR
Shijun Long, Ying Li, Chenming Wu, Bin Xu, Wei Fan
2024 A conf
HPHS: Hierarchical Planning based on Hybrid Frontier Sampling for Unknown Environments Exploration.
IROS
Shijun Long, Ying Li, Chenming Wu, Bin Xu, Wei Fan
2024 J jnl
HPHS: Hierarchical Planning based on Hybrid Frontier Sampling for Unknown Environments Exploration.
CoRR
Shijun Long, Ying Li, Chenming Wu, Bin Xu, Wei Fan
2024 J jnl
Mitigation of Motion Sickness and Optimization of Motion Comfort in Autonomous Vehicles: Systematic Survey.
IEEE Trans. Intell. Transp. Syst.
Yahui Zhang, Haohan Zhao, Chuan Hu, Yang Tian, Ying Li, Xiaohong Jiao, Guilin Wen
2024 J jnl
Scenario-Function System for Automotive Intelligent Cockpits: Framework, Research Progress and Perspectives.
IEEE Trans. Intell. Veh.
Hongchang Chen, Ruiyang Gao, Lili Fan, Erxuan Liu, Wenbo Li, Ruichen Tan, Ying Li, Lei He, Dongpu Cao
2023 — conf
A Novel A-star Algorithm for Vehicle Path Planning in Complex Scenes.
DTPI
Shijun Long, Ying Li, Dongpu Cao
2023 J jnl
A Path Planning Learning Strategy Design for a Wheel-Legged Vehicle Considering Both Distance and Energy Consumption.
IEEE Trans. Veh. Technol.
Weida Wang, Jing Zhao, Chao Yang, Tianqi Qie, Ying Li, Kun Huang, Changle Xiang
2023 J jnl
An Improved Model Predictive Control-Based Trajectory Planning Method for Automated Driving Vehicles Under Uncertainty Environments.
IEEE Trans. Intell. Transp. Syst.
Tianqi Qie, Weida Wang, Chao Yang, Ying Li, Yuhang Zhang, Wenjie Liu, Changle Xiang
2023 J jnl
Blockchain-Oriented Privacy Protection of Sensitive Data in the Internet of Vehicles.
IEEE Trans. Intell. Veh.
Cheng Xu, Hongjun Wu, Hongzhe Liu, Weihao Gu, Ying Li, Dongpu Cao
2023 A conf
Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores.
IROS
Shukai Liu, Chenming Wu, Ying Li, Liangjun Zhang
2023 J jnl
Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores.
CoRR
Shukai Liu, Chenming Wu, Ying Li, Liangjun Zhang
2023 J jnl
Cyber-Physical Optimization-Based Fuzzy Control Strategy for Plug-in Hybrid Electric Buses Using Iterative Modified Particle Swarm Optimization.
IEEE Trans. Intell. Veh.
Chao Yang, Ruihu Chen, Weida Wang, Ying Li, Xun Shen, Changle Xiang
2023 A* conf
Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection.
ICCV
Shihao Wang, Yingfei Liu, Tiancai Wang, Ying Li, Xiangyu Zhang
2023 J jnl
Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection.
CoRR
Shihao Wang, Yingfei Liu, Tiancai Wang, Ying Li, Xiangyu Zhang
2023 — conf
Lane-Changing Decision-Making Method for Autonomous Vehicles Considering Multi-Vehicle Interactions.
DSA
Tianqi Qie, Weida Wang, Chao Yang, Ying Li
2023 J jnl
Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach.
IEEE CAA J. Autom. Sinica
Lili Fan, Shen Li, Ying Li, Bai Li, Dongpu Cao, Fei-Yue Wang
2023 — conf
Trajectory prediction method using deep learning for intelligent and connected vehicles.
ICPS
Tianqi Qie, Weida Wang, Chao Yang, Ying Li, Yuhang Zhang, Wenjie Liu
2022 J jnl
A Pathway Forward: The Evolution of Intelligent Vehicles Research on IEEE T-IV.
IEEE Trans. Intell. Veh.
Haoran Wang, Xiao Wang, Xuan Li, Xingtang Wu, Jia Hu, Yuanyuan Chen, Zhongmin Liu, Ying Li
2022 — conf
A Two-Layer Real-Time Optimal Control for Intelligent Hybrid Electric Vehicles with Connectivity.
ITSC
Mingjun Zha, Weida Wang, Chao Yang, Ying Li
2022 J jnl
BoundaryNet: Extraction and Completion of Road Boundaries With Deep Learning Using Mobile Laser Scanning Point Clouds and Satellite Imagery.
IEEE Trans. Intell. Transp. Syst.
Lingfei Ma, Ying Li, Jonathan Li, José Marcato Junior, Wesley Nunes Gonçalves, Michael A. Chapman
2022 J jnl
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review.
IEEE Trans. Intell. Transp. Syst.
Yaodong Cui, Ren Chen, Wenbo Chu, Long Chen, Daxin Tian, Ying Li, Dongpu Cao
2022 J jnl
Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives.
IEEE Trans. Intell. Veh.
Dongpu Cao, Xiao Wang, Lingxi Li, Chen Lv, Xiaoxiang Na, Yang Xing, Xuan Li, Ying Li, Yuanyuan Chen, Fei-Yue Wang
2022 J jnl
Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework.
IEEE Trans. Geosci. Remote. Sens.
Zilong Zhong, Ying Li, Lingfei Ma, Jonathan Li, Wei-Shi Zheng
2022 J jnl
Xsickness in Intelligent Mobile Spaces and Metaverses.
IEEE Intell. Syst.
Ruichen Tan, Ruiyang Gao, Wenbo Li, Kai Cao, Ying Li, Chen Lv, Fei-Yue Wang, Dongpu Cao
2021 J jnl
Capsule-Based Networks for Road Marking Extraction and Classification From Mobile LiDAR Point Clouds.
IEEE Trans. Intell. Transp. Syst.
Lingfei Ma, Ying Li, Jonathan Li, Yongtao Yu, José Marcato Junior, Wesley Nunes Gonçalves, Michael A. Chapman
2021 J jnl
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review.
IEEE Trans. Neural Networks Learn. Syst.
Ying Li, Lingfei Ma, Zilong Zhong, Fei Liu, Michael A. Chapman, Dongpu Cao, Jonathan Li
2021 J jnl
Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments.
IEEE Trans. Intell. Transp. Syst.
Lingfei Ma, Ying Li, Jonathan Li, Weikai Tan, Yongtao Yu, Michael A. Chapman
2020 — —
Deep Learning for 3D Information Extraction from Indoor and Outdoor Point Clouds.
Ying Li
2020 J jnl
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review.
CoRR
Ying Li, Lingfei Ma, Zilong Zhong, Fei Liu, Dongpu Cao, Jonathan Li, Michael A. Chapman
2020 J jnl
Proximity based automatic data annotation for autonomous driving.
IEEE CAA J. Autom. Sinica
Chen Sun, Jean M. Uwabeza Vianney, Ying Li, Long Chen, Li Li, Fei-Yue Wang, Amir Khajepour, Dongpu Cao
2020 J jnl
TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Ying Li, Lingfei Ma, Zilong Zhong, Dongpu Cao, Jonathan Li
2020 — conf
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways.
CVPR Workshops
Weikai Tan, Nannan Qin, Lingfei Ma, Ying Li, Jing Du, Guorong Cai, Ke Yang, Jonathan Li
2020 J jnl
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways.
CoRR
Weikai Tan, Nannan Qin, Lingfei Ma, Ying Li, Jing Du, Guorong Cai, Ke Yang, Jonathan Li
2020 J jnl
UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks.
CoRR
Weikai Tan, Dedong Zhang, Lingfei Ma, Ying Li, Lanying Wang, Jonathan Li
2019 J jnl
Generation of Horizontally Curved Driving Lines in HD Maps Using Mobile Laser Scanning Point Clouds.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Lingfei Ma, Ying Li, Jonathan Li, Zilong Zhong, Michael A. Chapman
2018 C conf
Extraction of Building Windows from Mobile Laser Scanning Point Clouds.
IGARSS
Menglan Zhou, Lingfei Ma, Ying Li, Jonathan Li
2018 J jnl
Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review.
Remote. Sens.
Lingfei Ma, Ying Li, Jonathan Li, Cheng Wang, Ruisheng Wang, Michael A. Chapman
2018 C conf
Segment-Based Traffic Sign Detection from Mobile Laser Scanning Data.
IGARSS
Ying Li, Lingfei Ma, Yuchun Huang, Jonathan Li