Registration of vehicle based panoramic image and LiDAR point cloud

Changjun Chen; Liang Cao; Hong Xie; Xiangyu Zhuo

doi:10.1117/12.2031501

27 October 2013 Registration of vehicle based panoramic image and LiDAR point cloud

Changjun Chen, Liang Cao, Hong Xie, Xiangyu Zhuo

Proceedings Volume 8919, MIPPR 2013: Pattern Recognition and Computer Vision; 89190J (2013) https://doi.org/10.1117/12.2031501
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

Higher quality surface information would be got when data from optical images and LiDAR were integrated, owing to the fact that optical images and LiDAR point cloud have unique characteristics that make them preferable in many applications. While most previous works focus on registration of pinhole perspective cameras to 2D or 3D LiDAR data. In this paper, a method for the registration of vehicle based panoramic image and LiDAR point cloud is proposed. Using the translation among panoramic image, single CCD image, laser scanner and Position and Orientation System (POS) along with the GPS/IMU data, precise co-registration between the panoramic image and the LiDAR point cloud in the world system is achieved. Results are presented under a real world data set collected by a new developed Mobile Mapping System (MMS) integrated with a high resolution panoramic camera, two laser scanners and a POS.

Citation Download Citation

Changjun Chen, Liang Cao, Hong Xie, and Xiangyu Zhuo "Registration of vehicle based panoramic image and LiDAR point cloud", Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 89190J (27 October 2013); https://doi.org/10.1117/12.2031501

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