https://github.com/wissem01chiha/cuastar
Parallel implementation of the A* trajectory planner algorithm on NVIDIA GPUs for dense point cloud environments
https://github.com/wissem01chiha/cuastar
c cpp cpp17 cuda-programming cuda-toolkit motion-planning motion-planning-algorithm navigation nvidia-gpu openmp openmp-parallelization point-cloud point-cloud-processing simd-intrinsics vtk
Last synced: 20 days ago
JSON representation
Parallel implementation of the A* trajectory planner algorithm on NVIDIA GPUs for dense point cloud environments
- Host: GitHub
- URL: https://github.com/wissem01chiha/cuastar
- Owner: wissem01chiha
- License: bsd-2-clause
- Created: 2023-06-03T18:05:41.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-17T17:44:54.000Z (8 months ago)
- Last Synced: 2024-09-18T01:38:19.679Z (8 months ago)
- Topics: c, cpp, cpp17, cuda-programming, cuda-toolkit, motion-planning, motion-planning-algorithm, navigation, nvidia-gpu, openmp, openmp-parallelization, point-cloud, point-cloud-processing, simd-intrinsics, vtk
- Language: C++
- Homepage: https://wissem01chiha.github.io/cuAStar/
- Size: 28 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md