MoonPath
Finding the most suitable path on the moon for rover based on sunlight and topography
ビデオ
テックスタック
Python
説明
Here is a link to detailed pdf describing how we approached the project
https://drive.google.com/file/d/1BILlZOuW0_d9fdsSUE1hoP41z1Xqq7hm/view?usp=sharing
ハッカソンの進行状況
We developed an optimized path planning solution for a solar-powered lunar rover, ensuring crater avoidance and maximum sunlight exposure. Using the Roboflow API, we detected and annotated craters from the Chandrayaan-2 OHRC Lunar Crater Dataset. we implemented an A* search algorithm with an occupancy grid and a sunlight-aware cost function to navigate safely. Simulated sunlight intensity from grayscale images helped refine path selection for efficient solar charging. The project successfully integrated crater detection, sunlight data, and path planning, generating safe and efficient rover routes.