In this repo, you find the theses and papers published as a part of the CPS-VO Challenge 2018. The competition requires Bachelor students to demonstrate that an autonomous UAV can search through the desert and pick up a dead UAV and restore it to the base. In this competition, "Team Halmstad" of Halmstad University secured second place and also won a special mention "Best UAV design award". The team consists of 6 Bachelor students, 4 Doctoral students and an Assistant Supervisor.
The drone which was named as F651 is a hexacopter built from a DJI F550 frame. The complete drone was built from scratch by six bachelor students as a part of their Bachelor thesis work. The coordinator from the University for the competition was Maytheewat Aramrattana.
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The Drone body, its grippers design and the complete hardware system were designed and built by two Mechatronics Engineering students - Anders Bogga and Emil Andersson supervised by Wojciech Mostowski.
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The coverage planning, object detection and pickup was developed by two Computer Science Engineering students - Patrik Karlsson and Emil Johansson supervised by Mahsa Varshosaz.
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The altitude control and obstacle avoidance was developed by two Electrical Engineering students - Marcus Roden and Jakob Carlsen supervised by Yuantao Fan and Jennifer David.
If you used any part of this work, kindly consider citing these theses:
- E. Andersson and A. Bogga, ‘Hexacopter with gripping module’, Bachelor's Dissertation, Halmstad University, Sweden 2018.
- P. Karlsson and E. Johansson, ‘Object Identifier System for Autonomous UAV’, Bachelor's Dissertation, Halmstad University, Sweden 2018.
- M. Roden and J. Carlsen, ‘Obstacle avoidance and altitude control for autonomous UAV’, Bachelor's Dissertation, Halmstad University, Sweden 2018.
Distributed under BSD LICENSE.