2017 Symposium Archive (Statesboro)
Optimized recognition of traffic cues using robotic camera vision for effective lane following and lane keeping
Location
Room 2908
Session Format
Paper Presentation
Research Area Topic:
Engineering and Material Sciences - Mechanical
Start Date
4-14-2017 9:00 AM
End Date
4-14-2017 10:00 AM
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Copyright
This work is archived and distributed under the repository's Standard Copyright and Reuse License (opens in new tab). End users may copy, store, and distribute this work without restriction. For all other uses, permission must be obtained from the copyright owners or their authorized agents.
Recommended Citation
Popat, Charvi, "Optimized recognition of traffic cues using robotic camera vision for effective lane following and lane keeping" (2017). GS4 Student Scholars Symposium. 23.
https://digitalcommons.georgiasouthern.edu/research_symposium/2017/2017/23
Optimized recognition of traffic cues using robotic camera vision for effective lane following and lane keeping
Room 2908
