Ying Li

According to our database, Ying Li authored at least 27 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Self-Trajectory Prediction Approach for Autonomous Vehicles Using Distributed Decouple LSTM.

Tianqi Qie, Weida Wang, Chao Yang, Ying Li

IEEE Trans. Ind. Informatics, April, 2024

Focal-PETR: Embracing Foreground for Efficient Multi-Camera 3D Object Detection.

Shihao Wang, Xiaohui Jiang, Ying Li

IEEE Trans. Intell. Veh., January, 2024

2023

Cyber-Physical Optimization-Based Fuzzy Control Strategy for Plug-in Hybrid Electric Buses Using Iterative Modified Particle Swarm Optimization.

Chao Yang, Ruihu Chen, Weida Wang, Ying Li, Xun Shen, Changle Xiang

IEEE Trans. Intell. Veh., May, 2023

A Path Planning Learning Strategy Design for a Wheel-Legged Vehicle Considering Both Distance and Energy Consumption.

Weida Wang, Jing Zhao, Chao Yang, Tianqi Qie, Ying Li, Kun Huang, Changle Xiang

IEEE Trans. Veh. Technol., April, 2023

An Improved Model Predictive Control-Based Trajectory Planning Method for Automated Driving Vehicles Under Uncertainty Environments.

Tianqi Qie, Weida Wang, Chao Yang, Ying Li, Yuhang Zhang, Wenjie Liu, Changle Xiang

IEEE Trans. Intell. Transp. Syst., April, 2023

Blockchain-Oriented Privacy Protection of Sensitive Data in the Internet of Vehicles.

Cheng Xu, Hongjun Wu, Hongzhe Liu, Weihao Gu, Ying Li, Dongpu Cao

IEEE Trans. Intell. Veh., February, 2023

Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach.

Lili Fan, Shen Li, Ying Li, Bai Li, Dongpu Cao, Fei-Yue Wang

IEEE CAA J. Autom. Sinica, 2023

Trajectory prediction method using deep learning for intelligent and connected vehicles.

Tianqi Qie, Weida Wang, Chao Yang, Ying Li, Yuhang Zhang, Wenjie Liu

Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

Lane-Changing Decision-Making Method for Autonomous Vehicles Considering Multi-Vehicle Interactions.

Tianqi Qie, Weida Wang, Chao Yang, Ying Li

Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023

2022

A Pathway Forward: The Evolution of Intelligent Vehicles Research on IEEE T-IV.

Haoran Wang, Xiao Wang, Xuan Li, Xingtang Wu, Jia Hu, Yuanyuan Chen, Zhongmin Liu, Ying Li

IEEE Trans. Intell. Veh., 2022

Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives.

Dongpu Cao, Xiao Wang, Lingxi Li, Chen Lv, Xiaoxiang Na, Yang Xing, Xuan Li, Ying Li, Yuanyuan Chen, Fei-Yue Wang

IEEE Trans. Intell. Veh., 2022

BoundaryNet: Extraction and Completion of Road Boundaries With Deep Learning Using Mobile Laser Scanning Point Clouds and Satellite Imagery.

Lingfei Ma, Ying Li, Jonathan Li, José Marcato Junior, Wesley Nunes Gonçalves, Michael A. Chapman

IEEE Trans. Intell. Transp. Syst., 2022

Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review.

Yaodong Cui, Ren Chen, Wenbo Chu, Long Chen, Daxin Tian, Ying Li, Dongpu Cao

IEEE Trans. Intell. Transp. Syst., 2022

Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework.

Zilong Zhong, Ying Li, Lingfei Ma, Jonathan Li, Wei-Shi Zheng

IEEE Trans. Geosci. Remote. Sens., 2022

A Two-Layer Real-Time Optimal Control for Intelligent Hybrid Electric Vehicles with Connectivity.

Mingjun Zha, Weida Wang, Chao Yang, Ying Li

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review.

Ying Li, Lingfei Ma, Zilong Zhong, Fei Liu, Michael A. Chapman, Dongpu Cao, Jonathan Li

IEEE Trans. Neural Networks Learn. Syst., 2021

Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments.

Lingfei Ma, Ying Li, Jonathan Li, Weikai Tan, Yongtao Yu, Michael A. Chapman

IEEE Trans. Intell. Transp. Syst., 2021

Capsule-Based Networks for Road Marking Extraction and Classification From Mobile LiDAR Point Clouds.

Lingfei Ma, Ying Li, Jonathan Li, Yongtao Yu, José Marcato Junior, Wesley Nunes Gonçalves, Michael A. Chapman

IEEE Trans. Intell. Transp. Syst., 2021

2020

Deep Learning for 3D Information Extraction from Indoor and Outdoor Point Clouds.

Ying Li

PhD thesis, 2020

TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation.

Ying Li, Lingfei Ma, Zilong Zhong, Dongpu Cao, Jonathan Li

IEEE Trans. Geosci. Remote. Sens., 2020

Proximity based automatic data annotation for autonomous driving.

Chen Sun, Jean M. Uwabeza Vianney, Ying Li, Long Chen, Li Li, Fei-Yue Wang, Amir Khajepour, Dongpu Cao

IEEE CAA J. Autom. Sinica, 2020

UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks.

Weikai Tan, Dedong Zhang, Lingfei Ma, Ying Li, Lanying Wang, Jonathan Li

CoRR, 2020

Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways.

Weikai Tan, Nannan Qin, Lingfei Ma, Ying Li, Jing Du, Guorong Cai, Ke Yang, Jonathan Li

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Generation of Horizontally Curved Driving Lines in HD Maps Using Mobile Laser Scanning Point Clouds.

Lingfei Ma, Ying Li, Jonathan Li, Zilong Zhong, Michael A. Chapman

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

2018

Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review.

Lingfei Ma, Ying Li, Jonathan Li, Cheng Wang, Ruisheng Wang, Michael A. Chapman

Remote. Sens., 2018

Extraction of Building Windows from Mobile Laser Scanning Point Clouds.

Menglan Zhou, Lingfei Ma, Ying Li, Jonathan Li

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Segment-Based Traffic Sign Detection from Mobile Laser Scanning Data.

Ying Li, Lingfei Ma, Yuchun Huang, Jonathan Li

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018