Open Access
Issue |
JNWPU
Volume 40, Number 6, December 2022
|
|
---|---|---|
Page(s) | 1431 - 1439 | |
DOI | https://doi.org/10.1051/jnwpu/20224061431 | |
Published online | 10 February 2023 |
- WANG Yongzhong, WEN Chenglin. Unstructured road vanishing point detection based on Haar texture[J]. Chinese Journal of Image and Graphics, 2013, 18(4): 27–36. [Article] (in Chinese) [Google Scholar]
- WANG Y, TEOHE K, SHEN D. Lane detection and tracking using B-snake[J]. Image and Vision Computing, 2004, 22(4): 269–280 [CrossRef] [Google Scholar]
- NIETO M, SALGADO L. Real time vanishing point estimation in road sequences using adaptive steerable filter banks[C]//International Conference on Advanced Concepts for Intelligent Vision Systems, 2007 [Google Scholar]
- HAN Bingxin, LU Huimin, YU Qinghua, et al. Nonlinear optimal vanishing point estimation algorithm in Manhattan world[J]. Chinese Journal of Image and Graphics, 2021, 26(12): 2931–2940. [Article] (in Chinese) [Google Scholar]
- RASMUSSEN C. Grouping dominant orientations for structured road following[C]//Proceedings of IEEE Conference on Computer Vision and Patten Recognition, 2004 [Google Scholar]
- KONG H, AUDIBRT J Y. General road detection from a single image[J]. IEEE Trans on Image Processi, 2010, 19(8): 2211–2220. [Article] [NASA ADS] [CrossRef] [Google Scholar]
- MOGHADA P, STARZYK J A, WIJESOMA W S. Fast vanishing point detection in unstructured environments[J]. IEEE Trans on Image Process, 2012, 21(1): 425–430. [Article] [NASA ADS] [CrossRef] [Google Scholar]
- JIN J S, JIN X W, FANG F F. Fast and robust vanishing point detection for unstructured road following[J]. IEEE Trans on Intelligent Transportation Systems, 2016, 17(4): 970–979. [Article] [CrossRef] [Google Scholar]
- HUANG Jun, HOU Beiping, DONG Fei, et al. Research on vanishing point detection of unstructured road based on directional texture[J]. Journal of Graphics, 2019, 40(1): 131–136. [Article] (in Chinese) [Google Scholar]
- WANG Xianjie. Research on non-squiration road detection algorithm based on vain point[D]. Huainan: Anhui University of Technology, 2020 (in Chinese) [Google Scholar]
- YU Junwei, ZHANG Liming, CHEN Kai, et al. Remote detection of small obstacles on road surface based on road vanishing point[J]. Journal of Tongji University, 2020, 47(1): 213–216. [Article] (in Chinese) [Google Scholar]
- LIU Yinbo, ZENG Ming, MENG Qinghao. Unstructured road vanishing point detection using convolutional neural networks and heatmap regression[J]. IEEE Trans on Instrumentation and Measurement, 2021, 70(2): 91–99 [Google Scholar]
- ZHANG Huang, AN Li, ZHANG Qiang, et al. SGBM algorithm and BM algorithm analysis and research[J]. Geomatics and Spatial Information Technology, 2016, 39(10): 214–216. [Article] (in Chinese) [Google Scholar]
- RASMUSSEN C. Texture-based vanishing point voting for road shape estimation[C]//British Machine Vision Conference, 2009 [Google Scholar]
- KONG H, AUIDIBERT J Y, PONCE J. Vanishing point detection for road detection[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2009 [Google Scholar]
- TRUNG H B, EITAKU N, TAKESHI S. A texture-based local soft voting method for vanishing point detection from a single road image[J]. IEICE Trans on Information and Systems, 2013, 96: 690–698 [NASA ADS] [Google Scholar]
- MENZE M, GEIGER A. Object scene flow for autonomous vehicles[C]//IEEE Conference on Computer Vision and Pattern Recognition, Piscataway, 2015 [Google Scholar]
- DING W, LI Y, LIU H. Efficient vanishing point detection method in unstructured road environments based on dark channel prior[J]. IET Computer Vision, 2016, 10(8): 852–860 [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.