@article{oai:kansai-u.repo.nii.ac.jp:00015890,
 author = {Lee, Shun-Liang and Lin, Pang-Chieh and Lin, Sheng-Jie and Kung, Huang-Kuang},
 journal = {Science and technology reports of Kansai University = 関西大学理工学研究報告},
 month = {Mar},
 note = {An automatic vehicle system was developed to assist golfers in collecting golf balls from a practice field. Computer vision methodology was utilized to enhance the detection of golf balls in shallow and/or deep grass regions. The free software OpenCV was used in this project because of its powerful features and supported repository. The homemade golf ball picker was built with a smart recognition function for golf balls and can lock onto targets by itself. A set of field tests was completed in which the rate of golf ball recognition was as high as 95%. We report that this homemade smart golf ball picker can reduce the tremendous amount of labor associated with having to gather golf balls scattered throughout a practice field.},
 pages = {67--74},
 title = {Development of Computer Vision-Enhanced Smart Golf Ball Retriever},
 volume = {62},
 year = {2020}
}