Presentation + Paper
13 June 2023 Adding RF situational awareness to robotic simulation systems
Author Affiliations +
Abstract
Various tools are now available to assist the roboticist in developing autonomy algorithms for tasks such as path planning or collision avoidance. Many tools support the integration of live or simulated RGB cameras, LIDAR, radar, and IMU sensors. This paper will describe adding an RF sensor. The proposed RF sensor detects radio and locates emitters in the environment for the purpose of collision avoidance. We outline an approach to share data to help locate and avoid collisions. The protocol is designed to maximize safety, privacy, security, timeliness, and other desirable properties discussed in the paper. Preliminary results are shown to illustrate the concepts.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sydney Gibbs, Mitch Thornton, and Darrell Young "Adding RF situational awareness to robotic simulation systems", Proc. SPIE 12540, Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2023, 1254009 (13 June 2023); https://doi.org/10.1117/12.2668808
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KEYWORDS
Signal to noise ratio

Covariance

Error analysis

Machine learning

Receivers

Environmental sensing

Sensors

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