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Stereo Camera-based Localization and Obstacle Detection for Unmanned Aerial Vehicles

The goal of this project is to develop software modules for an autonomous drone navigation system. Our modules determine the location of the drone in a flight space relative to a map of the space, and detect obstacles and their positions within the environment. These modules function using only inputs from a stereo camera and a given map of the flight space. These modules are intended to be combined and extended for a complete autonomous drone navigation system. The application for this system is in a WiFi and GPS denied indoor environment.

Team Members: 

Kaajol Dhana

Sarthak Gupta

Kayvon Khosrowpour

Salil Pathare

Steven Zhu

Semester