Vanishing point detection for monocular camera extrinsic calibration under translation movement
In this paper we introduce a method for dynamic evaluation of pitch and yaw angles of a camera mounted on mobile unmanned vehicles (MUV). The proposed method is based on vanishing point detection from a single image under motion parallel to linear objects (buildings’ edges, road markup) located in the field of view. We demonstrated that rotation angles estimation mean absolute error for our method is 0.65°, which is comparable with state of the art dynamic extrinsic calibration methods. We conducted additional research for method applicability based on data recorded from a selfdriving car, which uses road markup for self-localization. It was shown that rotation angles evaluation error of 0.65° reduces localization accuracy by 0.01 m with a route length of about 70 m, which is acceptable for most applications.