Dissertations and Theses 7-2020 An Open Source, Autonomous, Vision-Based Algorithm for Hazard Detection and Avoidance for Celestial Body Landing Daniel Posada Follow this and additional works at: https://commons.erau.edu/edt Part of the Aerospace Engineering Commons This Thesis - Open Access is brought to you for free and open access by Scholarly Commons. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of Scholarly Commons. For more information, please contact
[email protected]. AN OPEN SOURCE, AUTONOMOUS, VISION-BASED ALGORITHM FOR HAZARD DETECTION AND AVOIDANCE FOR CELESTIAL BODY LANDING By Daniel Posada A Thesis Submitted to the Faculty of Embry-Riddle Aeronautical University In Partial Fulfillment of the Requirements for the Degree of Master of Science in Aerospace Engineering July 2020 Embry-Riddle Aeronautical University Daytona Beach, Florida ii AN OPEN SOURCE, AUTONOMOUS, VISION-BASED ALGORITHM FOR HAZARD DETECTION AND AVOIDANCE FOR CELESTIAL BODY LANDING By Daniel Posada This Thesis was prepared under the direction of the candidate’s Thesis Committee Chair, Dr. Troy Henderson, Department of Aerospace Engineering, and has been approved by the members of the Thesis Committee. It was submitted to the OÖce of the Senior Vice President for Academic AÄairs and Provost, and was accepted in the partial fulfillment of the requirements for the Degree of Master of Science in Aerospace Engineering. THESIS COMMITTEE Digitally signed by Troy A. Henderson Troy A. Henderson Date: 2020.08.03 18:43:31 -04'00' Chairman, Dr. Troy Henderson Digitally signed by Richard J. Prazenica Digitally signed by Moreno,Claudia Richard J.