Development Process of a Smart UAV for Autonomous Target Detection
Utsav Shah (Vaughn College of Aeronautics and Technology, USA)
Waseem Hussain (Vaughn College of Aeronautics and Technology, USA)
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Development Process of a Smart UAV for Autonomous Target Detection | ||
| Published in: | Innovation in Education and Inclusion : Proceedings of the 16th LACCEI International Multi-Conference for Engineering, Education and Technology | |
| Date of Conference: | July 18-20, 2018 | |
| Location of Conference: | Lima, Perú | |
| Authors: |
Ryan Tang Dan (Vaughn College of Aeronautics and Technology, USA) Utsav Shah (Vaughn College of Aeronautics and Technology, USA) Waseem Hussain (Vaughn College of Aeronautics and Technology, USA) | |
| Full Paper: | #480 | |
Abstract:The project outlines the development of an autonomous quadcopter that can used in GPS or motion capture cameras denied environment where the quadcopter needs to localize itself. The quadcopter developed can detect targets using only onboard sensors and compute using low cost parts. Following a preset criteria, a medium sized S500 drone was modified to function using a Pixhawk 2.1 Cube flight controller for actuator control and an NVIDIA TK1 Developer board for the processing of raw sensory data, localization, and path planning. | ||