Bin Zhou

Orcid: 0000-0002-1141-5557

Affiliations:
  • Beihang University, School of Transportation Science and Engineering, Beijing, China (PhD 2018)


According to our database1, Bin Zhou authored at least 34 papers between 2015 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Efficient Sampling-Based Trajectory Planning With Dual-Layer Probabilistic Intention Prediction for Autonomous Driving in Complex Intersections.
IEEE Trans. Veh. Technol., August, 2025

Reinforcement Learning-Based Adaptive Safety Tracking Controller for Autonomous Mining Trucks.
IEEE Trans. Veh. Technol., July, 2025

Hybrid Path Tracking Control for Autonomous Trucks: Integrating Pure Pursuit and Deep Reinforcement Learning With Adaptive Look-Ahead Mechanism.
IEEE Trans. Intell. Transp. Syst., May, 2025

Real-Time Navigation of Unmanned Ground Vehicles in Complex Terrains With Enhanced Perception and Memory-Guided Strategies.
IEEE Trans. Veh. Technol., March, 2025

Anomaly Detection for Aircraft Control System Based on Prediction and Residual Estimation With Dual Temporal Convolutional Networks.
IEEE Trans. Instrum. Meas., 2025

Multilevel Health Monitoring of Autonomous Mining Trucks Under Complex Time-Varying Conditions.
IEEE Trans. Instrum. Meas., 2025

2024
Dynamic Origin-Destination Flow Imputation Using Feature-Based Transfer Learning.
IEEE Trans. Intell. Transp. Syst., November, 2024

An Integrated Framework of Lateral and Longitudinal Behavior Decision-Making for Autonomous Driving Using Reinforcement Learning.
IEEE Trans. Veh. Technol., July, 2024

Collaborative Trajectory Planning for Autonomous Mining Trucks: A Grouping and Prioritized Optimization Based Approach.
IEEE Trans. Veh. Technol., May, 2024

Trajectory Planning for Autonomous Driving in Unstructured Scenarios Based on Deep Learning and Quadratic Optimization.
IEEE Trans. Veh. Technol., April, 2024

Region-Based Hybrid Collaborative Perception for Connected Autonomous Vehicles.
IEEE Trans. Veh. Technol., March, 2024

Integration of Decision-Making and Motion Planning for Autonomous Driving Based on Double-Layer Reinforcement Learning Framework.
IEEE Trans. Veh. Technol., March, 2024

Simultaneous Robust State and Sensor Fault Estimation of Autonomous Vehicle via Synthesized Design of Dynamic and Learning Observers.
IEEE Trans. Veh. Technol., 2024

SwinURNet: Hybrid Transformer-CNN Architecture for Real-Time Unstructured Road Segmentation.
IEEE Trans. Instrum. Meas., 2024

Multimodal Trajectory Prediction for Autonomous Driving on Unstructured Roads using Deep Convolutional Network.
CoRR, 2024

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition.
CoRR, 2024

A Truck Path Tracking Controller Based on Combined Pure Pursuit and Deep Reinforcement Learning.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Cable Segmentation Based on Mask2Former in Open-Pit Mining Area.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

A Robust Camera-LiDAR Fusion Framework for 3D Object Detection in High-Dust Environments.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

A Vision-Based Bird's Eye View Representation Network for 3D Objects in Open-pit Mining Area.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

A LiDAR-Camera Fusion Network for Small Object Detection in Open-Pit Mining Areas.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

Dual-Layer Path Planning for Unmanned Ground Vehicles Based on Probabilistic Roadmap and Proximal Policy Optimization.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

2023
RailDepth: A Self-Supervised Network for Railway Depth Completion Based on a Pooling-Guidance Mechanism.
IEEE Trans. Instrum. Meas., 2023

Lateral Motion Control for Obstacle Avoidance in Autonomous Driving Based on Deep Reinforcement Learning.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Optimization-Based Trajectory Planning for Autonomous Driving at Mining Area with Irregular Boundary.
Proceedings of the International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2023

2022
A Topology Guided Method for Rail-Track Detection.
IEEE Trans. Veh. Technol., 2022

A Train Positioning Method Based-On Vision and Millimeter-Wave Radar Data Fusion.
IEEE Trans. Intell. Transp. Syst., 2022

FarNet: An Attention-Aggregation Network for Long-Range Rail Track Point Cloud Segmentation.
IEEE Trans. Intell. Transp. Syst., 2022

Object Classification Based on Enhanced Evidence Theory: Radar-Vision Fusion Approach for Roadside Application.
IEEE Trans. Instrum. Meas., 2022

2021
Semantic-Level Maneuver Sampling and Trajectory Planning for On-Road Autonomous Driving in Dynamic Scenarios.
IEEE Trans. Veh. Technol., 2021

The Identification and Compensation of Static Drift Induced by External Disturbances for LiDAR SLAM.
IEEE Access, 2021

2019
Velocity Tracking Control Based on Throttle-Pedal-Moving Data Mapping for the Autonomous Vehicle.
IEEE Access, 2019

Detection Algorithm of Takeover Behavior of Automatic Vehicles' Drivers Based on Deep Learning.
Proceedings of the 4th International Conference on Intelligent Transportation Engineering, 2019

2015
Measuring Algorithm for the Distance to a Preceding Vehicle on Curve Road Using On-Board Monocular Camera.
Int. J. Bifurc. Chaos, 2015


  Loading...