Autonomous unmanned air vehicles (UAV) techniques

Ming-Kai Hsu; Ting N. Lee

doi:10.1117/12.723182

9 April 2007 Autonomous unmanned air vehicles (UAV) techniques

Ming-Kai Hsu, Ting N. Lee

Proceedings Volume 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V; 657614 (2007) https://doi.org/10.1117/12.723182
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

The UAVs (Unmanned Air Vehicles) have great potentials in different civilian applications, such as oil pipeline surveillance, precision farming, forest fire fighting (yearly), search and rescue, boarder patrol, etc. The related industries of UAVs can create billions of dollars for each year. However, the road block of adopting UAVs is that it is against FAA (Federal Aviation Administration) and ATC (Air Traffic Control) regulations. In this paper, we have reviewed the latest technologies and researches on UAV navigation and obstacle avoidance. We have purposed a system design of Jittering Mosaic Image Processing (JMIP) with stereo vision and optical flow to fulfill the functionalities of autonomous UAVs.

Citation Download Citation

Ming-Kai Hsu and Ting N. Lee "Autonomous unmanned air vehicles (UAV) techniques", Proc. SPIE 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V, 657614 (9 April 2007); https://doi.org/10.1117/12.723182

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