Abstract: An apparatus and a method for detecting an AVPS marker. In one example, a method of detecting a coded marker comprises receiving an image and preprocessing the image, extracting a feature map of the image through a backbone network, extracting a center point heatmap for a coded marker, a first feature map for a width and height of a bounding box, a second feature map for offsets for adjusting the center point, and a third feature map for corner points of the coded marker from the feature map using a plurality of head networks, generating candidate detection information including the bounding box and the corner points on the basis of the center point heatmap, the first feature map, the second feature map, and the third feature map, and outputting final detection information by performing modified non-maximum suppression on the candidate detection information.

Abstract: An apparatus and a method for improving the localization accuracy of an autonomous vehicle using an AVPS marker. An example method comprises recognizing a first coded marker around an entry space in a parking facility to generate coded marker recognition information, estimating a position and orientation of the recognized coded marker based on the coded marker recognition information and parameters of at least one camera, obtaining information on a second coded marker with the same ID as the recognized coded marker from a marker database containing information on an ID, position, orientation and size of each of a plurality of coded markers installed in the parking facility, calculating an error based on the coded marker recognition information and the information on the second coded marker, and performing calibration based on the error when the error is greater than or equal to a preset threshold.

Abstract: An apparatus and method of detecting a position of a light source are provided. The method includes: generating a top view image of a vehicle by using one or more cameras mounted on the vehicle; detecting a shadow area from the top view image by using an artificial intelligence model trained to recognize objects from a video or an image input; detecting a first area corresponding to an area of a shadow of the vehicle from the shadow area; detecting a direction of the light source based on the first area; and calculating an incidence angle at which light emitted from the light source is incident on the vehicle, based on the first area.

Abstract: The present invention relates to a collision distance estimation device and a driver assistance system using the same. The collision distance estimation device includes an image acquisition unit configured to acquire images of surroundings of a vehicle to generate image information, an image reading unit configured to detect and identify an object present around the vehicle from the image information to generate object recognition information, a travel detection unit configured to generate movement distance information on the basis of wheel sensing information, steering information, and the image information, and a collision distance calculation unit configured to calculate collision distance information on the basis of the object recognition information and the movement distance information.

Abstract: The present invention relates to a collision distance estimation device and a driver assistance system using the same. The collision distance estimation device includes an image acquisition unit configured to acquire images of surroundings of a vehicle to generate image information, an image reading unit configured to detect and identify an object present around the vehicle from the image information to generate object recognition information, a travel detection unit configured to generate movement distance information on the basis of wheel sensing information, steering information, and the image information, and a collision distance calculation unit configured to calculate collision distance information on the basis of the object recognition information and the movement distance information.