Multi-camera systems are being deployed in a variety of vehicles and mobile robots today.
To eliminate the need for cost and labor intensive maintenance and calibration, continuous self-calibration is highly desirable.
In this book we present such an approach for self-calibration of multi-Camera systems for vehicle surround sensing.
In an extensive evaluation we assess our algorithm quantitatively using real-world data.
This work was published by Saint Philip Street Press pursuant to a Creat.