| dc.contributor.author | Hobble, Katie | |
| dc.contributor.author | Xiang, Dante | |
| dc.contributor.author | Morrow, Russell | |
| dc.contributor.author | Harp, David | |
| dc.date.accessioned | 2017-10-10T20:54:40Z | |
| dc.date.available | 2017-10-10T20:54:40Z | |
| dc.date.issued | 2016-04-26 | |
| dc.identifier | oksd_hobble_HT_2016 | |
| dc.identifier.uri | https://hdl.handle.net/11244/52288 | |
| dc.description.abstract | This project is intended to support the Mechanical and Aerospace Engineering students working under Dr. Girish Chowdhary in the Distributed Autonomous Systems (DAS) Lab as they continue to develop an autonomous golf cart. The School of Electrical and School of Electrical and Computer Engineering Capstone Design Team has been tasked with developing software to connect existing systems with a Velodyne LiDAR sensor and detecting obstacles in the surrounding environment in real time. This obstacle detection data will eventually be used by path planning software to improve autonomous driving capabilities of the golf cart system. | |
| dc.format | application/pdf | |
| dc.language | en_US | |
| dc.rights | Copyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material. | |
| dc.title | Autonomous golf cart: LiDAR obstacle detection | |
| osu.filename | oksd_hobble_HT_2016.pdf | |
| osu.accesstype | Open Access | |
| dc.type.genre | Honors Thesis | |
| dc.type.material | Text | |
| thesis.degree.discipline | Electrical and Computer Engineering | |
| thesis.degree.grantor | Oklahoma State University | |
