A new color, IR, and radar data fusion for obstacle detection and collision warning

Naruto Yonemoto; Kazuo Yamamoto; Kimio Yamada

doi:10.1117/12.541477

11 August 2004 A new color, IR, and radar data fusion for obstacle detection and collision warning

Naruto Yonemoto, Kazuo Yamamoto, Kimio Yamada

Proceedings Volume 5424, Enhanced and Synthetic Vision 2004; (2004) https://doi.org/10.1117/12.541477
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

Helicopters often strike against obstacles such as power lines. We are developing an obstacle detection and warning system for civil helicopters to reduce such collisions. A color camera, an Infrared (IR) camera and a Millimeter Wave (MMW) radar are employed as its sensors. This paper describes an image and data fusion of color and infrared images with the millimeter wave information. An outline of the obstacle detection and warning system is described first. Then, we propose a newly developed on-board system based on a fast AD converter. A new algorithm is also proposed to identify the nearest target using the radar signal where there are other far large-RCS obstacles. As the result, the system can achieve 30 cycles per second of IR and color image acquisition, radar data processing, distance calculation, fusing all data and displaying them. Finally, we propose a future plan for flight experiments planned in this year.

Citation Download Citation

Naruto Yonemoto, Kazuo Yamamoto, and Kimio Yamada "A new color, IR, and radar data fusion for obstacle detection and collision warning", Proc. SPIE 5424, Enhanced and Synthetic Vision 2004, (11 August 2004); https://doi.org/10.1117/12.541477

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