Author details
Author's Published Works
Author details
Showing 1-4 of 4 results
- Sort
Filter Results
Show
Sort By
Results
Recent Advances in Planning for Autonomous Driving and Mining Trucks: A Survey
2024 China Automation Congress (CAC)
Year: 2024 | Conference Paper |
Autonomous driving technology, which enhances driving safety, comfort, and reduces energy consumption, has become a prominent research focus in recent years. Path planning is a crucial component of autonomous driving technology, focusing on the optimal route for a vehicle to travel from one point to another. As a category of autonomous driving technology, the modular methods are highly favored for...Show More
Autonomous Driving in Underground Mines Via Parallel Driving Operation Systems: Challenges, Frameworks and Cases Study
Bin Tian;Jing Yang;Caiji Zhang;Xuedi Hao;Shi Meng;Shibin Wang;Zheng Yang;Long Chen;Yanlong Zhao;Shirong Ge
Autonomous driving plays a crucial role in the development of intelligent mines. However, the complex environments in mines present many challenges for the application of autonomous driving compared to urban scenes. Especially in underground mines, the environments such as dust, water mist, narrow roads, and sharp turnings bring additional difficulties for autonomous driving. In response to these ...Show More
OpenMines: A Light and Comprehensive Mining Simulation Environment for Truck Dispatching
Shi Meng;Bin Tian;Xiaotong Zhang;Shuangying Qi;Caiji Zhang;Qiang Zhang
2024 IEEE Intelligent Vehicles Symposium (IV)
Year: 2024 | Conference Paper |
Mine fleet management algorithms can significantly reduce operational costs and enhance productivity in mining systems. Most current fleet management algorithms are evaluated based on self-implemented or proprietary simulation environments, posing challenges for replication and comparison. This paper models the simulation environment for mine fleet management from a complex systems perspective. Bu...Show More
V2X-BGN: Camera-based V2X-Collaborative 3D Object Detection with BEV Global Non-Maximum Suppression
Caiji Zhang;Bin Tian;Shi Meng;Shuangying Qi;Yang Sun;Yunfeng Ai;Long Chen
2024 IEEE Intelligent Vehicles Symposium (IV)
Year: 2024 | Conference Paper |
In recent years, research on Vehicle-to-Everything (V2X) cooperative perception algorithms mainly focuses on the fusion of intermediate features from LiDAR point clouds. Since the emergence of excellent single-vehicle visual perception models like BEVFormer, collaborative perception schemes based on camera and late-fusion have become feasible approaches. This paper proposes a V2X-collaborative 3D ...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.