The software team writes a variety of software, including autonomous path planning software, computer vision software, and a ground control station.
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While traversing the search area the system must find and automatically recognize ground targets. To accomplish this task we develop a robust computer vision system using technologies such as neural networks
During the competition, our plane must avoid stationary and dynamically moving obstacles in the field. To accomplish this task we develop a robust path planning system that uses dubin's curves to plan obstacle free paths, and also modify the waypoint navigation controller of the Ardupilot autopilot to perform dynamic obstacle avoidance.
The ground control station allows for monitoring of the mission and associated tasks. This year we are designing our own web based GCS that is designed specifically for the AUVSI SUAS competition mission.