Cited 0 time in
Camera Image Cropping Approach for End-to-End Controls of Self-Driving Cars based on CNN
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 성연식 | - |
| dc.date.accessioned | 2024-10-30T20:24:12Z | - |
| dc.date.available | 2024-10-30T20:24:12Z | - |
| dc.date.issued | 2017-10-13 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/54691 | - |
| dc.title | Camera Image Cropping Approach for End-to-End Controls of Self-Driving Cars based on CNN | - |
| dc.type | Conference | - |
| dc.citation.startPage | 15 | - |
| dc.citation.endPage | 15 | - |
| dc.citation.conferenceName | The 2017 International Conference on Future Information Technology, applications and services (IFIT 2017 Seoul) | - |
| dc.citation.conferencePlace | 대한민국 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, Republic of Korea+82-2-2260-3114
Copyright(c) 2023 DONGGUK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
