| LDR | | 02627nam u200421 4500 |
| 001 | | 000000422599 |
| 005 | | 20190215170244 |
| 008 | | 181129s2016 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438309791 |
| 035 | |
▼a (MiAaPQ)AAI10970738 |
| 035 | |
▼a (MiAaPQ)OhioLINK:osu1462803166 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 624 |
| 100 | 1 |
▼a Hosseinyalamdary, Siavash. |
| 245 | 10 |
▼a Traffic Scene Perception using Multiple Sensors for Vehicular Safety Purposes. |
| 260 | |
▼a [S.l.]:
▼b The Ohio State University.,
▼c 2016. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2016. |
| 300 | |
▼a 167 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
| 500 | |
▼a Adviser: Alper Yilmaz. |
| 502 | 1 |
▼a Thesis (Ph.D.)--The Ohio State University, 2016. |
| 520 | |
▼a Autonomous driving is an emerging technology, preventing accidents on the road in future. It, however, faces many challenges because of various environmental conditions and limitations of sensors. In this dissertation, we study multiple sensor i |
| 520 | |
▼a The laser scanner point cloud is a rich source of information, suffers from low resolution, especially for farther objects. We generalize 2D super-resolution approaches applied in image processing to the 3D point clouds. Two variants are develop |
| 520 | |
▼a The static and moving objects must be detected on the road, the moving objects must be tracked, and trajectory of the platform must be designed to avoid accidents. The densified point clouds are integrated with other sources of information, incl |
| 520 | |
▼a In addition, conic section geometry is utilized to estimate the position of the traffic lights with respect to camera mounted on the platform. The proposed traffic light detection approach is evaluated using Karlsruhe Institute of Technology (KI |
| 520 | |
▼a In conclusion, we integrate multiple sensors to overcome their shortages, such as low resolution of point clouds, and propose obstacle avoidance and traffic light detection approaches based on the integrated sensors. Our results outperform the e |
| 590 | |
▼a School code: 0168. |
| 650 | 4 |
▼a Civil engineering. |
| 690 | |
▼a 0543 |
| 710 | 20 |
▼a The Ohio State University.
▼b Civil Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0168 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2016 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001342
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |