Real-time obstacle detection with motion features using monocular vision
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| 008 | 210128e20150301xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00371-014-0918-5 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00371-014-0918-5 | ||
| 245 | 0 | 0 | |a Real-time obstacle detection with motion features using monocular vision |h [Elektronische Daten] |c [Baozhi Jia, Rui Liu, Ming Zhu] |
| 520 | 3 | |a Real-time obstacle detection by monocular vision is a challenging problem in autonomous navigation of vehicles and driver-assistance systems. In this paper, we introduce an approach of real-time obstacle detection which can effectively tell apart obstacles from shadows and road surface markings. We propose the followings: (1) a two consecutive frames (TCF) model to find the differences between obstacles and the ground plane by motion features; (2) a filter to increase probabilities of obstacle regions; (3) an updating process to reduce false positives and update the algorithm when the vehicle moves on. We perform experiments on two datasets and our autonomous vehicle. The results show that our method is effective in various conditions and meets the real-time requirement. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Autonomous navigation |2 nationallicence | |
| 690 | 7 | |a Driver-assistance systems |2 nationallicence | |
| 690 | 7 | |a Real-time obstacle detect |2 nationallicence | |
| 690 | 7 | |a Feature points |2 nationallicence | |
| 690 | 7 | |a Monocular vision |2 nationallicence | |
| 700 | 1 | |a Jia |D Baozhi |u University of Science and Technology of China, 230026, Hefei, Anhui, People's Republic of China |4 aut | |
| 700 | 1 | |a Liu |D Rui |u University of Science and Technology of China, 230026, Hefei, Anhui, People's Republic of China |4 aut | |
| 700 | 1 | |a Zhu |D Ming |u University of Science and Technology of China, 230026, Hefei, Anhui, People's Republic of China |4 aut | |
| 773 | 0 | |t The Visual Computer |d Springer Berlin Heidelberg |g 31/3(2015-03-01), 281-293 |x 0178-2789 |q 31:3<281 |1 2015 |2 31 |o 371 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00371-014-0918-5 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00371-014-0918-5 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Jia |D Baozhi |u University of Science and Technology of China, 230026, Hefei, Anhui, People's Republic of China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Liu |D Rui |u University of Science and Technology of China, 230026, Hefei, Anhui, People's Republic of China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zhu |D Ming |u University of Science and Technology of China, 230026, Hefei, Anhui, People's Republic of China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t The Visual Computer |d Springer Berlin Heidelberg |g 31/3(2015-03-01), 281-293 |x 0178-2789 |q 31:3<281 |1 2015 |2 31 |o 371 | ||