… an optical camera. Our approach exploits the natural alignment of depth and intensity edges
… do not require the presence or identification of known alignment targets. On the other hand, …

… LiDAR and camera frame and gives a closed form solution. We further show the accuracy of
the estimate by fusing point clouds from two stereo cameras which align … all four edges of the …

… edge alignment of LiDAR and camera data to improve the calibration accuracy. Considering
the sparsity of the LiDAR … a LiDAR edge point, we define the two points are edge aligned. A …

… alignment error and the point correspondence error. The line alignment error is the RMS
distance between the lidar … fitted line, and selected lidar point and lidar feture of the right edge. …

… measurement of a camera and LIDAR's sparse geometric measurement can assist each
other. To take advantage of the complementary measurements of a camera and LIDAR, we …

… the natural alignment of the depth and intensity edges when … projected LiDAR point cloud
corners and optical image edges… these methods are based on the edges of the image and the 3…

… an RGB camera and a light detection and ranging (LiDAR) sensor, … robustly align pairs
of temporally synchronized camera and LiDAR … state-ofthe-art edge feature based auto-calibration …

… holes for LiDAR and camera to detect edges of the board, and researchers have also
explored to use multiple checkerboards for corner and keypoint detection [5], [13]. Though fully…

… In order to achieve the goal of alignment between the camera and LiDAR outputs, we need
to perform an edge extraction on the point cloud, which is non-trivial since the points are …

… , which can be further used to align the camera and the LIDAR. The problem of most …
For detecting edges in 3D point clouds obtained from LIDAR readings, we follow two steps. …