… leastsquares problem for finding the LIDAR-camera calibration parameters. We present the
details of our analytical solution in … IV describes our observability analysis. Sections V and VI …

… To provide accurate initialization, in the next three sections we present a novel analytical
method to estimate the lidar-Ladybug transformation and all intrinsic parameters of the lidar (…

… solution is one way to assess the quality of the solution that is returned by a nonlinear
least squares … intrinsic and extrinsic calibration: Identifiability and analytical least-squares-based …

… solution for the minimal problem of the extrinsic calibration between a 2D LIDAR and a
Camera. … Nölle, “Review and analysis of solutions of the three point perspective pose estimation …

… target in a couple of LIDAR-camera observations, the extrinsic … least squares (NLS) problem
[11] and solved iteratively. … into two least-square sub-problems and solve them analytically. …

… vi is the solution vector; a vector corresponding to the leastsquares error estimate of the
values in the vector x from step 5. Since SVD automatically normalizes the columns of V such …

… [3] calibrate a 2D lidar to a camera by initially computing the … by solution refinement using
RANSAC-based least-squares. … : Identifiability and analytical leastsquares-based initialization,…

… (LiDAR) and color camera based on ranging statistical characteristics and improved RANSAC
algorithm is proposed. The multi-frame LiDAR point … between the camera and the LiDAR is …

… Analysis of the target size based on the cone of the laser beam or the pixel frustum of the …
Levenberg, “A method for the solution of certain problems in least squares,” Quart. Appl. Math., …

… ; iii) develop ML and Least Squares (LS) strategies that use the … both the Lidar’s intrinsic
parameters and the Lidar-camera … This question is actually non-trivial, and cannot be solved by …