Strategies for reducing SWAP-C and complexity in DVE sensor systems

Author:

Allen Robert C.1,Blanton W. Brendan1,Schramm Erich1,Mitra Rajib1

Affiliation:

1. The Boeing Co. (United States)

Publisher

SPIE

Reference25 articles.

1. “Final Report of NIAG SG167 on Helicopter Operations at Low Altitude Degraded Visual Environment,” (NIAG), NATO Industrial Advisory Group, NIAG-D(2013)0014, AC/225(VL)D(2013)0001, (2013).

2. Applications and challenges for MMW and THz sensors;Sanders-Reed;Micro- and Nanotechnology Sensors, Systems, and Applications VII,2015

3. Automotive Radar – Status and Trends;Schneider,2005

4. Helicopter Near-Field Obstacle Warning System Based on Low-Cost Millimeter-Wave Radar Technology

5. Toward autonomous rotorcraft flight in degraded visual environments: experiments and lessons learned;Stambler,2016

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1. HODET: Hybrid object detection and tracking using mmWave radar and visual sensors;Sensors and Systems for Space Applications XIII;2020-04-22

2. SWaP-C Based Comparison of Onboard Computers for Unmanned Vehicles;Proceedings of 14th International Conference on Electromechanics and Robotics “Zavalishin's Readings”;2019-08-30

3. Discrete wavelet transform based unsupervised underdetermined blind source separation methodology for radar pulse deinterleaving using antenna scan pattern;IET Radar, Sonar & Navigation;2019-06-03

4. Modeling of an active terahertz imaging system in brownout conditions;Applied Optics;2018-07-16

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