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aerial-landmine-detection-using-machine-learning

The primary objective of this project is to develop a drone-based system capable of detecting and locating buried landmines. The system leverages custom drone technology, metal detection, and machine learning algorithms to ensure accurate identification and mapping of potential threats.

ai-for-uav-guidance-and-control

ardupilot

ArduPlane, ArduCopter, ArduRover, ArduSub source

atom

camera_trajectory_tracker-vo

An OpenCV based implementation of Monocular Visual Odometry & camera trajectory tracker

depth-perception

hand-gesture-controlled-rover

helloworld

lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

luna

lunar-lander-test-vehicle-model

This is a miniature model of the Lunar Lander Test Vehicle from the 1960's. This is an experimental set up to understand the working of thrust vectoring used while landing on the moon.

motor-drivers

motor-test

ros_cam

ros_opencv

rpi-security-system

synchrony

video-transmission

wrapup