Extrinsic self calibration of a camera and a 3D laser range finder from natural scenes
By Davide Scaramuzza, Ahad Harati, Roland Yves Siegwart. 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007
337 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/1d1178f750e0fd28a8e4b8d3ba33cafb02e7e69b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Andreas Geiger
- Silvio Savarese
- Ryan M. Eustice
- Gaurav Pandey
- Juho Kannala
- Bernhard Schuster
- Omer Car
- Frank Moosmann
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Andreas Geiger
- Jitendra Malik
- Ming-Hsuan Yang
- Xiaogang Wang
- Andrew Zisserman
- Trevor Darrell
- Bernt Schiele
Citations in the corpus
- Automatic Targetless Extrinsic Calibration of a 3D Lidar and Camera by Maximizing Mutual Information (2012, methodology): “Scaramuzza, Harati, and Siegwart (2007) later introduced a technique for the calibration of a 3D laser scanner and omnidirectional camera using manual selection of point correspondences between camera and lidar.”
- Automatic camera and range sensor calibration using a single shot (2012, background): “The following subsections give details about each of these steps.”
- Joint Depth and Color Camera Calibration with Distortion Correction (2012, background): “Many applications need to capture both simultaneously, like scene reconstruction and image-based rendering.”
- Pixel-Level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless Environments (2021, methodology): “Compared to [14, 15], we use depth-continuous edges, which proved to be more accurate and reliable.”