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arXiv · 2405.16953

Evaluation of Resource-Efficient Crater Detectors on Embedded Systems

Simon Vellas·Bill Psomas·Kalliopi Karadima·Dimitrios Danopoulos·Alexandros Paterakis·George Lentaris·Dimitrios Soudris·Konstantinos Karantzalos
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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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Simon Vellas, Bill Psomas, Kalliopi Karadima, Dimitrios Danopoulos, Alexandros Paterakis, George Lentaris, Dimitrios Soudris, Konstantinos Karantzalos. 2024-05-27. Evaluation of Resource-Efficient Crater Detectors on Embedded Systems. https://arxiv.org/abs/2405.16953

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