本次黑客松进展
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.
