Ground Plane Detection with a New Local Disparity Texture Descriptor

被引：0

作者：

Wang, Kangru ^{[1
,2
]}

Qu, Lei ^{[1
]}

Chen, Lili ^{[1
]}

Li, Jiamao ^{[1
]}

Gu, Yuzhang ^{[1
]}

Zhu, Dongchen ^{[1
]}

Zhang, Xiaolin ^{[1
]}

机构：

[1] Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Shanghai 200050, Peoples R China

[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

来源：

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2017年 / E100D卷 / 10期

关键词：

ground plane detection; Local Disparity Texture Descriptor (LDTD); stereo vision; convolution neural network; DENSE STEREO;

D O I：

10.1587/transinf.2017EDL8053

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a novel approach is proposed for stereo vision-based ground plane detection at superpixel-level, which is implemented by employing a Disparity Texture Map in a convolution neural network architecture. In particular, the Disparity Texture Map is calculated with a new Local Disparity Texture Descriptor (LDTD). The experimental results demonstrate our superior performance in KITTI dataset.

引用

页码：2664 / 2668

页数：5

共 19 条

[1] SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
Achanta, Radhakrishna
Shaji, Appu
Smith, Kevin
Lucchi, Aurelien
Fua, Pascal
Suesstrunk, Sabine
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2012, 34 (11) : 2274 - 2281
[2] [Anonymous], 2004, IEEE Inteligent Engineering Systems
[3] Chen X, 2015, LECT NOTES BUS INF P, V2015, P424
[4] Dai YR, 2013, IEEE INT VEH SYM, P1137, DOI 10.1109/IVS.2013.6629619
[5] Geiger A, 2012, PROC CVPR IEEE, P3354, DOI 10.1109/CVPR.2012.6248074
[6] Caffe: Convolutional Architecture for Fast Feature Embedding
Jia, Yangqing
Shelhamer, Evan
Donahue, Jeff
Karayev, Sergey
Long, Jonathan
Girshick, Ross
Guadarrama, Sergio
Darrell, Trevor
[J]. PROCEEDINGS OF THE 2014 ACM CONFERENCE ON MULTIMEDIA (MM'14), 2014, : 675 - 678
[7] The Benefits of Dense Stereo for Pedestrian Detection
Keller, Christoph G.
Enzweiler, Markus
Rohrbach, Marcus
Fernandez Llorca, David
Schnoerr, Christoph
Gavrila, Dariu M.
[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2011, 12 (04) : 1096 - 1106
[8] Labayrade R, 2002, IV'2002: IEEE INTELLIGENT VEHICLE SYMPOSIUM, PROCEEDINGS, P646
[9] Gradient-based learning applied to document recognition
Lecun, Y
Bottou, L
Bengio, Y
Haffner, P
[J]. PROCEEDINGS OF THE IEEE, 1998, 86 (11) : 2278 - 2324
[10] Road surface and obstacle detection based on elevation maps from dense stereo
Oniga, Florin
Nedevschi, Sergiu
Meinecke, Marc Michael
To, Thanh Binh
[J]. 2007 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE, VOLS 1 AND 2, 2007, : 861 - +

← 1 2 →