Fusion of 3D-LIDAR and camera data for scene parsing

G Zhao, X Xiao, J Yuan, GW Ng - Journal of Visual Communication and …, 2014 - Elsevier
Fusion of information gathered from multiple sources is essential to build a comprehensive
situation picture for autonomous ground vehicles. In this paper, an approach which performs …
被引用次数：79 相关文章

[引用][C] Fusion of 3D-LIDAR and camera data for scene parsing

G ZHAO, X XIAO, J YUAN… - Journal of visual …, 2014 - pascal-francis.inist.fr
Fusion of 3D-LIDAR and camera data for scene parsing CNRS Inist Pascal-Francis CNRS
Pascal and Francis Bibliographic Databases Simple search Advanced search Search by …
[PDF] buffalo.edu

[PDF][PDF] Fusion of 3D-LIDAR and camera data for scene parsing

G Zhao, X Xiao, J Yuan, GW Ng - 2013 - cse.buffalo.edu
abstract Fusion of information gathered from multiple sources is essential to build a
comprehensive situation picture for autonomous ground vehicles. In this paper, an approach …

Fusion of 3D-LIDAR and camera data for scene parsing

G Zhao, X Xiao, J Yuan, GW Ng - Journal of Visual Communication and …, 2014 - infona.pl
Fusion of information gathered from multiple sources is essential to build a comprehensive
situation picture for autonomous ground vehicles. In this paper, an approach which performs …

Fusion of 3D-LIDAR and camera data for scene parsing

G Zhao, X Xiao, J Yuan, GW Ng - Journal of Visual Communication and …, 2014 - dl.acm.org
One geometry segmentation algorithm is proposed to parse scanner pointclouds. One
efficient multilayer perception classifier is trained to parse camera images. We propose one …
[PDF] researchgate.net

[PDF][PDF] Fusion of 3D-LIDAR and camera data for scene parsing

G Zhao, X Xiao, J Yuan, GW Ng - 2013 - researchgate.net
abstract Fusion of information gathered from multiple sources is essential to build a
comprehensive situation picture for autonomous ground vehicles. In this paper, an approach …

[引用][C] Fusion of 3D-LIDAR and camera data for scene parsing

G ZHAO, X XIAO, J YUAN, GEEWAH NG - Journal of visual communication …, 2014 - Elsevier