A novel multi-camera differential binocular vision sensor

Abstract

The contradiction between the field-of-view (FOV) and measurement accuracy is an urgent problem to be solved in the field of vision precision measurement. The binocular vision sensor with two cameras can theoretically ensure high-precision measurement, but field stitching is carried out to expand FOV resulting in a decrease in measurement accuracy. To ensure high-precision measurement while expanding the FOV, this paper proposes a multi-camera differential binocular vision sensor. Four auxiliary cameras are distributed around the central main camera, and the four quadrant images of the main camera form four pairs of binoculars with the four auxiliary cameras. The structure parameters of the sensor are optimized from the aspects of spatial arrangement, measurement range, and accuracy. Compared to traditional binocular vision sensors, multi-camera differential binocular vision sensor has wide FOV and high measurement accuracy, which is suitable for applications in areas such as intelligent driving, robot navigation, and motion analysis.