OpenPlayground

PSO - CUDA code

• 40x times in GPU Gtx 960m (check the paper)
• Stored in IndoorData & SwarmRobotics (SwarmRobotics/Test_CUDA/GPU_Swarm.cu)
• No CMake file :) sorry for my noob at linux at this time. Please cited below article if you thing these helpful:

@article{PHUNG201725,
title = {Enhanced discrete particle swarm optimization path planning for UAV vision-based surface inspection},
journal = {Automation in Construction},
volume = {81},
pages = {25-33},
year = {2017},
issn = {0926-5805},
doi = {https://doi.org/10.1016/j.autcon.2017.04.013},
url = {https://www.sciencedirect.com/science/article/pii/S0926580517303825},
author = {Manh Duong Phung and Cong Hoang Quach and Tran Hiep Dinh and Quang Ha},
keywords = {Path planning, Infrastructure monitoring, Bridge inspection, Vision-based inspection, Particle swarm optimization, Unmanned aerial vehicle},
}

Lane detector by template-matching + PCA

• Stored in RGBD-LaneDetector & RGBD-recorder
• No CMake file too, and the result is out-performed by every deeplearning method now :)).

@INPROCEEDINGS{8325781,
  author={Quach, Cong Hoang and Tran, Van Lien and Nguyen, Duy Hung and Nguyen, Viet Thang and Pham, Minh Trien and Phung, Manh Duong},
  booktitle={2018 2nd International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom)}, 
  title={Real-time lane marker detection using template matching with RGB-D camera}, 
  year={2018},
  volume={},
  number={},
  pages={152-157},
  doi={10.1109/SIGTELCOM.2018.8325781}}