Zhefan Xu

Orcid: 0000-0002-9395-9549

According to our database1, Zhefan Xu authored at least 14 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
Intent Prediction-Driven Model Predictive Control for UAV Planning and Navigation in Dynamic Environments.
IEEE Robotics Autom. Lett., May, 2025

NavRL: Learning Safe Flight in Dynamic Environments.
IEEE Robotics Autom. Lett., April, 2025

Adaptive Planning Framework for UAV-Based Surface Inspection in Partially Unknown Indoor Environments.
CoRR, April, 2025

LV-DOT: LiDAR-visual dynamic obstacle detection and tracking for autonomous robot navigation.
CoRR, February, 2025

2024
Onboard Dynamic-Object Detection and Tracking for Autonomous Robot Navigation With RGB-D Camera.
IEEE Robotics Autom. Lett., January, 2024

Heuristic-based Incremental Probabilistic Roadmap for Efficient UAV Exploration in Dynamic Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Quadcopter Trajectory Time Minimization and Robust Collision Avoidance via Optimal Time Allocation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
A Vision-Based Autonomous UAV Inspection Framework for Unknown Tunnel Construction Sites With Dynamic Obstacles.
IEEE Robotics Autom. Lett., 2023

A real-time dynamic obstacle tracking and mapping system for UAV navigation and collision avoidance with an RGB-D camera.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Vision-aided UAV Navigation and Dynamic Obstacle Avoidance using Gradient-based B-spline Trajectory Optimization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
DPMPC-Planner: A real-time UAV trajectory planning framework for complex static environments with dynamic obstacles.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Autonomous UAV Exploration of Dynamic Environments Via Incremental Sampling and Probabilistic Roadmap.
IEEE Robotics Autom. Lett., 2021

2020
Frontier-based Automatic-differentiable Information Gain Measure for Robotic Exploration of Unknown 3D Environments.
CoRR, 2020

Coordinated Aerial-Ground Robot Exploration via Monte-Carlo View Quality Rendering.
CoRR, 2020


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