Abstract
Keywords: Driver assistant system, automatic parking assistance system, collision warning, pedestrian detection, light stripe projection
Automatic parking system is one of the most interesting driver assistance systems because it is recognized as a convenience system used in daily life and it is expected to become the first widely deployed driver assistance system using state-of-the-art technologies. Generally, automatic parking system consists of three components: target position designation, path planning, and path tracking by active steering. There are various methodologies to establish the target parking position. We proposed light stripe projection (LSP)-based target position designation to deal with parking situation with dark illumination condition such as in underground parking space (1). Although responsibility during parking operation is on the driver, detection of pedestrian during backing manoeuvre should be beneficial to the driver. The authors of (2) developed vision-based pedestrian detection using moving obstacle detection. However, it assumed that visual condition was good such that pedestrian had distinctive appearance in captured image. This paper proposes that LSP-based 3D reconstruction technology used in target position designation can be used for pedestrian recognition in dark illumination condition.