Evaluation of Resource-Efficient Crater Detectors on Embedded Systems

• URL: http://arxiv.org/abs/2405.16953v1
• Date: Mon, 27 May 2024 08:45:57 GMT
• Title: Evaluation of Resource-Efficient Crater Detectors on Embedded Systems
• Authors: Simon Vellas, Bill Psomas, Kalliopi Karadima, Dimitrios Danopoulos, Alexandros Paterakis, George Lentaris, Dimitrios Soudris, Konstantinos Karantzalos,
• Abstract summary: Real-time analysis of Martian craters is crucial for mission-critical operations. We benchmark several YOLO networks using a Mars craters dataset. We optimize this process for a new wave of cost-effective, commercial-off-the-shelf-based smaller satellites.
• Score: 40.72690694162952
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Real-time analysis of Martian craters is crucial for mission-critical operations, including safe landings and geological exploration. This work leverages the latest breakthroughs for on-the-edge crater detection aboard spacecraft. We rigorously benchmark several YOLO networks using a Mars craters dataset, analyzing their performance on embedded systems with a focus on optimization for low-power devices. We optimize this process for a new wave of cost-effective, commercial-off-the-shelf-based smaller satellites. Implementations on diverse platforms, including Google Coral Edge TPU, AMD Versal SoC VCK190, Nvidia Jetson Nano and Jetson AGX Orin, undergo a detailed trade-off analysis. Our findings identify optimal network-device pairings, enhancing the feasibility of crater detection on resource-constrained hardware and setting a new precedent for efficient and resilient extraterrestrial imaging. Code at: https://github.com/billpsomas/mars_crater_detection.

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