Spiking monocular event based 6D pose estimation for space application

Courtois, Jonathan, Miramond, Benoît, Pegatoquet, Alain

arXiv.org Artificial Intelligence 

These sensors and processing has led to an unprecedented increase in spacecraft methods are already attracting growing interest launches and large-scale constellation projects. As a in the space community [7] with the first SNN on result, the orbits around our planet are becoming congested board in space [8] and studies on EBC behaviour under and the risk of collisions is increasing due to radiation [9]. With this paper, we propose the first the presence of fast-moving space debris [1]. Recognizing fully event-based approach for spacecraft pose estimation, the potential dangers, the Inter-Agency Space Debris but also a novel method to account for the event Coordination Committee (IADC) has established stream. Section 2 introduces the event-based camera, guidelines for the containment of space debris and spiking neural network and pose estimation for space the safe disposal of satellites at the end of their operational application. In Section 3 we present the dataset and life. Agencies and companies have planned the network used, and finally in Section 4 we discuss missions such as On-Orbit Servicing (OOS) or Active the results and future works. Debris Removal (ADR) [2][3][4] to extend the life of satellites and address the problem of space debris.