Jianye Zhang

Air Force Engineering University

Papers

1

Total Citations

8

H-Index

1

About

Jianye Zhang is a researcher whose work centers on autonomous systems, sensor fusion, and unmanned aerial vehicle (UAV) navigation, particularly in GPS-denied environments. His most cited paper, "Small UAV autonomous localization based on multiple sensors fusion" (2017, 8 citations), addresses a critical challenge in UAV operations: maintaining accurate positioning when satellite signals are unavailable. Zhang proposed a novel algorithm that fuses data from an onboard camera, pressure sensor, and orientation sensors to achieve autonomous localization without requiring pre-built maps. This contribution is especially valuable for applications in indoor navigation, disaster response, and surveillance, where GPS reliability is limited. By integrating low-cost, lightweight sensors, Zhang’s work advances the practicality of small UAVs in real-world, constrained environments. His research demonstrates a clear focus on robust, sensor-driven autonomy, bridging gaps between perception, state estimation, and real-time decision-making. Though his citation count is modest, the technical novelty and practical relevance of his work make it a meaningful reference for researchers developing resilient navigation systems for micro aerial vehicles.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Small UAV autonomous localization based on multiple sensors fusion
8 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Air Force Engineering University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago