UAV Guided UGV
- Unmanned Aerial Vehicle (UAV) aerial imaging to aid a Unmanned Ground Vehicle (UGV) in navigation through a complex static environment, without any sensors on the UGV, in a Gazebo (ROS) environment
- Used Laplacian and Otsu methods for car edge detection and masking, and wrote controller for car cruising
- Applied Principal Component Analysis for vectorizing the direction in which the car is facing
- Also learnt to integrate computer vision tools with ROS and Gazebo