# 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.
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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 (316个子文件)
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feature_tests.bin 12KB
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feature_tests.bin 12KB
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CMakeDetermineCompilerABI_CXX.bin 8KB
CMakeDetermineCompilerABI_CXX.bin 8KB
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CMakeDetermineCompilerABI_C.bin 8KB
CMakeDetermineCompilerABI_C.bin 8KB
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CMakeCXXCompilerId.cpp 17KB
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CMakeCXXCompilerId.cpp 17KB
vision.cpp 13KB
vision.cpp 13KB
Astar.cpp 7KB
Astar.cpp 7KB
dijkstra.cpp 3KB
dijkstra.cpp 3KB
main.cpp 2KB
main.cpp 2KB
main.cpp 777B
main.cpp 777B
main.cpp 361B
main.cpp 360B
cv 819KB
feature_tests.cxx 10KB
feature_tests.cxx 10KB
feature_tests.cxx 10KB
feature_tests.cxx 10KB
vision.d 15KB
main.d 15KB
dijkstra.d 154B
main.d 150B
Astar.d 132B
main.d 131B
vision_client_dependency_info.dat 40KB
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