# Smart-Logistics
Unfortunately, I don't take part in further competition, as our group ranked 80th in the first part, failed to have a AGV.
### vision
Test environment:
- Ubuntu 18.04, Opencv 4.0.0, Cmake 3.19.4
- MacOS 11.2.1, Opencv 4.0.0, Xcode 12.4
Using the given camera config to tell the distance to the aruco boards, and specify which traffic light is on.
### path-planning
Test environment:
- Ubuntu 18.04, Cmake 3.19.4
- MacOS 10.15.6, Xcode 12.4
Using Dijkstra and A* algorithm. Dijkstra algorithm is complete, with path and distance print functions; A* algorithm read the map from text file and will give the shortest path from start to end.
竞赛资料源码-第十六届全国大学生智能汽车竞赛航天智慧物流创意组部分代码.zip
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2024-02-06
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竞赛资料源码-第十六届全国大学生智能汽车竞赛航天智慧物流创意组部分代码.zip （315个子文件） 
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