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Authors:
Caroselli, Edoardo 
Document type:
Dissertation / Thesis 
Title:
Autonomous LiDAR-free Navigation and AI-assisted Landing on Small Celestial Bodies 
Advisor:
Förstner, Roger, Prof. Dr.-Ing.; Curti, Fabio, Prof. Dr.-Ing. 
Referee:
Förstner, Roger, Prof. Dr.-Ing.; Curti, Fabio, Prof. Dr.-Ing. 
Date oral examination:
09.07.2024 
Publication date:
20.08.2024 
Year:
2024 
Pages (Book):
XXVI, 154 
Language:
Englisch 
Subject:
Himmelskörper ; Erforschung ; Raumfahrzeug ; Landung ; Navigationssystem ; Autonomes System ; Künstliche Intelligenz ; Maschinelles Lernen 
Keywords:
Autonomous Navigatio Artificial Intelligence Hazard Detection And Avoidance Planetary Landing Asteroids Machine Learning 
Abstract:
Exploring small bodies in our solar system, such as asteroids and comets, has become a significant focus in planetary sciences due to their potential insights into the Solar System’s formation, resource utilization prospects, and the need to assess and mitigate planetary defense risks. In situ exploration and sample return missions to these small bodies provide valuable information about their physical and chemical properties, composition, and environmental conditions. Autonomy is crucial in adv...    »
 
DDC notation:
629.435 
Department:
Fakultät für Luft- und Raumfahrttechnik 
Institute:
LRT 9 - Institut für Raumfahrttechnik und Weltraumnutzung 
Chair:
Förstner, Roger 
Open Access yes or no?:
Ja / Yes