Performance modelling of miniaturized flash-imaging lidars for future mars exploration missions

V. Mitev; A. Pollini; J. Haesler; João Pereira do Carmo

doi:10.1117/12.2304242

17 November 2017 Performance modelling of miniaturized flash-imaging lidars for future mars exploration missions

V. Mitev, A. Pollini, J. Haesler, João Pereira do Carmo

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Proceedings Volume 10563, International Conference on Space Optics — ICSO 2014; 105633C (2017) https://doi.org/10.1117/12.2304242
Event: International Conference on Space Optics — ICSO 2014, 2014, Tenerife, Canary Islands, Spain

Abstract

Future planetary exploration missions require the support of 3D vision in the GN&C during key spacecraft’s proximity phases, namely: i) spacecraft precision and soft Landing on the planet’s surface; ii) Rendezvous and Docking (RVD) between a Sample Canister (SC) and an orbiter spacecraft; iii) Rover Navigation (RN) on planetary surface. The imaging LiDARs are among the best candidate for such tasks [1-3]. The combination of measurement requirements and environmental conditions seems to find its optimum in the flash 3D LiDAR architecture. Here we present key steps is the evaluation of novelty light detectors and MOEMS (Micro-Opto- Electro-Mechanical Systems) technologies with respect to LiDAR system performance and miniaturization. The objectives of the project MILS (Miniaturized Imaging LiDAR System, Phase 1) concentrated on the evaluation of novel detection and scanning technologies for the miniaturization of 3D LiDARs intended for planetary mission. Preliminary designs for an elegant breadboard (EBB) for the three tasks stated above (Landing, RVD and RN) were proposed, based on results obtained with a numerical model developed in the project and providing the performances evaluation of imaging LiDARs.

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V. Mitev, A. Pollini, J. Haesler, and João Pereira do Carmo "Performance modelling of miniaturized flash-imaging lidars for future mars exploration missions", Proc. SPIE 10563, International Conference on Space Optics — ICSO 2014, 105633C (17 November 2017); https://doi.org/10.1117/12.2304242

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