Ying Li

Orcid: 0000-0003-0608-9619

Affiliations:
  • Beijing Institute of Technology, School of Mechanical Engineering, China
  • University of Waterloo, Department of Mechanical and Mechatronics Engineering, Waterloo Cognitive Autonomous Driving Laboratory, CogDrive, ON, Canada (PhD 2021)


According to our database1, Ying Li authored at least 34 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Scenario-Function System for Automotive Intelligent Cockpits: Framework, Research Progress and Perspectives.
IEEE Trans. Intell. Veh., May, 2024

A Self-Trajectory Prediction Approach for Autonomous Vehicles Using Distributed Decouple LSTM.
IEEE Trans. Ind. Informatics, April, 2024

Focal-PETR: Embracing Foreground for Efficient Multi-Camera 3D Object Detection.
IEEE Trans. Intell. Veh., January, 2024

A new efficient algorithm for short path planning of the vertical take-off and landing air-ground integrated vehicle.
Eng. Appl. Artif. Intell., January, 2024

HEROS: Hierarchical Exploration with Online Subregion Updating for 3D Environment Coverage.
CoRR, 2024

2023
Cyber-Physical Optimization-Based Fuzzy Control Strategy for Plug-in Hybrid Electric Buses Using Iterative Modified Particle Swarm Optimization.
IEEE Trans. Intell. Veh., May, 2023

A Path Planning Learning Strategy Design for a Wheel-Legged Vehicle Considering Both Distance and Energy Consumption.
IEEE Trans. Veh. Technol., April, 2023

An Improved Model Predictive Control-Based Trajectory Planning Method for Automated Driving Vehicles Under Uncertainty Environments.
IEEE Trans. Intell. Transp. Syst., April, 2023

Blockchain-Oriented Privacy Protection of Sensitive Data in the Internet of Vehicles.
IEEE Trans. Intell. Veh., February, 2023

Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach.
IEEE CAA J. Autom. Sinica, 2023

Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores.
IROS, 2023

Trajectory prediction method using deep learning for intelligent and connected vehicles.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Novel A-star Algorithm for Vehicle Path Planning in Complex Scenes.
Proceedings of the IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, 2023

Lane-Changing Decision-Making Method for Autonomous Vehicles Considering Multi-Vehicle Interactions.
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.
IEEE Trans. Intell. Veh., 2022

Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives.
IEEE Trans. Intell. Veh., 2022

BoundaryNet: Extraction and Completion of Road Boundaries With Deep Learning Using Mobile Laser Scanning Point Clouds and Satellite Imagery.
IEEE Trans. Intell. Transp. Syst., 2022

Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review.
IEEE Trans. Intell. Transp. Syst., 2022

Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework.
IEEE Trans. Geosci. Remote. Sens., 2022

Xsickness in Intelligent Mobile Spaces and Metaverses.
IEEE Intell. Syst., 2022

A Two-Layer Real-Time Optimal Control for Intelligent Hybrid Electric Vehicles with Connectivity.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review.
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.
IEEE Trans. Intell. Transp. Syst., 2021

Capsule-Based Networks for Road Marking Extraction and Classification From Mobile LiDAR Point Clouds.
IEEE Trans. Intell. Transp. Syst., 2021

2020
Deep Learning for 3D Information Extraction from Indoor and Outdoor Point Clouds.
PhD thesis, 2020

TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2020

Proximity based automatic data annotation for autonomous driving.
IEEE CAA J. Autom. Sinica, 2020

UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks.
CoRR, 2020

Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways.
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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

2018
Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review.
Remote. Sens., 2018

Extraction of Building Windows from Mobile Laser Scanning Point Clouds.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Segment-Based Traffic Sign Detection from Mobile Laser Scanning Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018


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