Haozhe ZHANG
Papers
1
Total Citations
15
H-Index
1
About
Haozhe Zhang is a researcher focused on the critical intersection of autonomous systems and safety, with a primary emphasis on collision avoidance technologies for unmanned aerial vehicles (UAVs). His most cited work, a comprehensive 2023 review of rule-based collision avoidance for autonomous UAVs, has garnered 15 citations, establishing him as a thoughtful synthesizer of foundational methods in this rapidly evolving field. This review systematically categorizes and evaluates rule-based approaches—from geometric and potential field methods to formal logic frameworks—providing a crucial roadmap for researchers and engineers developing safe, reliable drone autonomy. By clarifying the strengths and limitations of deterministic, interpretable strategies against more complex learning-based alternatives, Zhang’s contribution helps guide practical deployment in airspace integration and beyond-visual-line-of-sight operations. His work is particularly valuable for students and practitioners seeking to understand the trade-offs between computational simplicity, verifiability, and robustness in real-world UAV navigation. Through this focused review, Zhang has made a clear, actionable impact on the autonomous systems community, offering a foundational reference that continues to inform both academic research and industrial development in safe drone operations.
Research Focus
Key Achievements
Top Papers
- 1A review of rule-based collision avoidance technology for autonomous UAV15 citations · 2023