Lidar and image calibration for autonomous vehicles

A coordinate system of a camera of an autonomous vehicle is calibrated to a coordinate system of a LIDAR module using the hand eye equation. However, traditional solutions to the hand eye equation are based on robust rotation about three axes. While calibrating a camera of a car, there is usually ro...

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Bibliographische Detailangaben
Hauptverfasser:	Wang, Zhen, Gan, Lingwen
Format:	Patent
Sprache:	eng
Schlagworte:	ANALOGOUS ARRANGEMENTS USING OTHER WAVES CALCULATING COMPUTING COUNTING DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY IMAGE DATA PROCESSING OR GENERATION, IN GENERAL LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS PICTORIAL COMMUNICATION, e.g. TELEVISION RADIO DIRECTION-FINDING RADIO NAVIGATION TESTING
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Beschreibung
Zusammenfassung:	A coordinate system of a camera of an autonomous vehicle is calibrated to a coordinate system of a LIDAR module using the hand eye equation. However, traditional solutions to the hand eye equation are based on robust rotation about three axes. While calibrating a camera of a car, there is usually robust rotation about only one axis. Degeneracy in rotation about two axes makes the traditional hand eye equation challenging to solve. A rotation vector is defined that has a scaling value. By using the rotation vector, the hand eye equation can be solved to calibrate a pose of the camera to a pose of the LIDAR module.