In-flight testing of wide-angle low-light for UAS automated navigation

J. Buquet; S.-G. Beauvais; P. Roulet; S. Thibault

doi:10.1117/12.2677713

4 October 2023 In-flight testing of wide-angle low-light for UAS automated navigation

J. Buquet, S.-G. Beauvais, P. Roulet, S. Thibault

Proceedings Volume 12675, Applications of Machine Learning 2023; 1267514 (2023) https://doi.org/10.1117/12.2677713
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Conference Poster

Abstract

Automated navigation of Unmanned Aircraft Systems (UAS) in a broad range of illumination scenarios implies improved and real-time depth estimation and long-distance obstacle detection. We present our lightweight ultra wide-angle camera optimized for low-light illumination (down to < 1 lux) mounted on a drone and compare its optical performance with other module found in the market. We also capture images from the drone in flight and test them on monocular depth estimation neural networks and show that our camera module is suitable for low-light navigation.

Citation Download Citation

J. Buquet, S.-G. Beauvais, P. Roulet, and S. Thibault "In-flight testing of wide-angle low-light for UAS automated navigation", Proc. SPIE 12675, Applications of Machine Learning 2023, 1267514 (4 October 2023); https://doi.org/10.1117/12.2677713

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