Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Tingbo Hu"'
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 54:5319-5340
A novel approach called Spectral–Spatial 1-D Manifold Embedding (SS1DME) is proposed in this paper for remotely sensed hyperspectral image (HSI) classification. This novel approach is based on a generalization of the recently developed smooth order
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38ed3979a73ef593b16cb81f00809ae7
https://doi.org/10.1109/tgrs.2016.2560529
https://doi.org/10.1109/tgrs.2016.2560529
Autor:
Lilin Qian, Xiaohui Li, Tao Wu, Hao Fu, Xin Xu, Bin Dai, Tingbo Hu, Bang Cheng, Zengping Sun, Jin Tang
Publikováno v:
Intelligent Vehicles Symposium
The 2017 Intelligent Vehicle Future Challenge of China (IVFC) was held in Changshu between 24th November and 26th November, 2017. As the ninth series of this event, last year’s competition has introduced many new features and has attracted 21 teams
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::377a1bd212bffac528c4b62fe66c1f2b
https://doi.org/10.1109/ivs.2018.8500574
https://doi.org/10.1109/ivs.2018.8500574
Publikováno v:
Journal of Field Robotics. 33:591-617
Negative obstacles for field autonomous land vehicles ALVs refer to ditches, pits, or terrain with a negative slope, which will bring risks to vehicles in travel. This paper presents a feature fusion based algorithm FFA for negative obstacle detectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a45c7e547eb0dc580bc8fb8d928d776
https://doi.org/10.1002/rob.21609
https://doi.org/10.1002/rob.21609
Publikováno v:
Computer Vision and Image Understanding. 116:908-921
Highlights? The SDFC tree incorporates all the smoothness functions of the edges in the image. ? Conventional DP-based algorithms decrease the matching accuracy. ? Weighted dynamic programming treats all the pixels in the SDFC tree equivalently. ? Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec75386f0dd739038c383865ecf6b77e
https://doi.org/10.1016/j.cviu.2012.04.003
https://doi.org/10.1016/j.cviu.2012.04.003
Publikováno v:
Journal of Physics: Conference Series. 1087:062010
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::439e53bf0ff9481482366e99a004d2ff
https://doi.org/10.1088/1742-6596/1087/6/062010
https://doi.org/10.1088/1742-6596/1087/6/062010
Publikováno v:
FSKD
Autonomous vehicle technology has attracted many attention in recent years. However, this technology is still challenging in urban areas because of the complicated environments. A highly detailed map for autonomous vehicle is proposed in this paper.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73c19e7ceeb69b1f3e697ef021a95eb1
https://doi.org/10.1109/fskd.2015.7382313
https://doi.org/10.1109/fskd.2015.7382313
Publikováno v:
CYBCONF
In this paper, a novel classification paradigm, termed Spectral-Spatial One Dimensional Manifold Embedding (SS1DME), is proposed for classification of hyperspectral imagery (HSI). The proposed paradigm integrates the spectral affinity and spatial inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f248fa86b34f6930db150be2114542b2
https://doi.org/10.1109/cybconf.2015.7175966
https://doi.org/10.1109/cybconf.2015.7175966
Publikováno v:
Intelligent Vehicles Symposium
In this paper, we propose to fuse the LIDAR and monocular image in the framework of conditional random field to detect the road robustly in challenging scenarios. LIDAR points are aligned with pixels in image by cross calibration. Then boosted decisi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc75cec3ecb2b65bbbd9523c367c61ba
https://doi.org/10.1109/ivs.2015.7225685
https://doi.org/10.1109/ivs.2015.7225685
Publikováno v:
The 27th Chinese Control and Decision Conference (2015 CCDC).
In this paper, a fast particle filer based unstructured road detection and tracking algorithm is presented. We take the parameters of the road model and the relative pose of the vehicle with respect to the road as the state vector. The pixels of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39e5fa1da922622f236d3d75f4d35efd
https://doi.org/10.1109/ccdc.2015.7162618
https://doi.org/10.1109/ccdc.2015.7162618
Publikováno v:
Journal of Computer Applications. 33:2474-2476
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7577d6e42127809c1064e1c4a09f1dc
https://doi.org/10.3724/sp.j.1087.2013.02474
https://doi.org/10.3724/sp.j.1087.2013.02474