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V. Lepetit and F.Moreno-Noguer and P.Fua EPnP: An Accurate O(n) Solution to the PnP Problem
2009
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2017

Dhall, Ankit, Chelani, Kunal, Radhakrishnan, Vishnu et al.

With the advent of autonomous vehicles, LiDAR and cameras have become an indispensable combination of sensors.

They both provide rich and complementary data which can be used by various algorithms and machine learning to sense and make vital inferences about the surroundings.
We propose a novel pipeline and experimental setup to find accurate rigid-body transformation for extrinsically calibrating a LiDAR and a camera.
The pipeling uses 3D-3D point correspondences in LiDAR and camera frame and gives a closed form solution.

V. Lepetit and F.Moreno-Noguer and P.Fua EPnP: An Accurate O(n) Solution to the PnP Problem
2009
Earlier work this paper cites.

Robot Operating System(ROS)
Cited in the paper.
Martin Velas, Michal Spanel, Zdenek Materna, Adam Herout Calibration of RGB Camera With Velodyne LiDAR
Cited in the paper.
Velodyne LiDAR
Cited in the paper.
ZED Stereo Camera
Cited in the paper.
ArUco Markers
Cited in the paper.
April Tags
Cited in the paper.
Iterative Closest Point
Cited in the paper.
Olga Sorkine-Hornung and Michael Rabinovich Least-Squares Rigid Motion Using SVD
Cited in the paper.
Lydia E. Kavraki Molecular Distance Measures
Cited in the paper.

Nothing clear enough to list yet.

alphaXiv searches the wider corpus for related work and actual follow-ups.

alphaXiv is searching for related work…