Abstract: An apparatus for determining a position of an object outside a vehicle includes: a camera that obtains an external image of the vehicle, and a processor that may detect a target region corresponding to a target object in the external image. In particular, the processor detects a predetermined horizontal reference line in the target region, calculates a gradient of the horizontal reference line perpendicular to a front direction of the vehicle on a horizontal plane parallel to a road surface, and calculates a heading angle difference between the vehicle and the target object based on the gradient of the horizontal reference line.

Abstract: An apparatus for determining a height of an abject includes a camera to acquire a two-dimensional (2D) image and a processor. The processor detects a target object corresponding to an obstacle from the 2D image. The processor also determines a reference lower point from among pixels positioned at a lower portion of the target object. The processor further projects a preset reference line to the 2D image such that a reference point of the preset reference line is matched with the reference lower point. The processor additionally determines a height of the target object based on at least one threshold value for marking a preset distance, from the reference point, on the reference line.

Abstract: A method for detecting an anchor-free object based on deep learning may include receiving a target image for object detection, inputting the image to a backbond network and performing learning to generate a heatmap, post-processing the heatmap, and outputting the post-processed result on a screen.

Abstract: A method for detecting an anchor-free object based on deep learning may include receiving a target image for object detection, inputting the image to a backbond network and performing learning to generate a heatmap, post-processing the heatmap, and outputting the post-processed result on a screen.

Abstract: The present disclosure provides a system for recognizing a position of a vehicle including: a lane-based position recognition device configured to extract correction information about a heading angle and a lateral position of the vehicle by comparing measured lane information with lane information on an accurate map; a LiDAR-based position recognition device that extracts correction information about a position of the vehicle by detecting an area in consideration of surrounding vehicles and obstacles measured through a LiDAR sensor; and a position assemble device configured to assemble a position based on the correction information about the heading angle and the lateral position of the vehicle, correction information about a heading angle, a longitudinal position and a lateral position of the vehicle from the LiDAR sensor, and correction information about a heading angle, a longitudinal position and a lateral position of the vehicle from GPS.

Abstract: The present disclosure relates to an apparatus and a method for removing fog in an image capable of providing a defogged image without a sense of difference by adaptively controlling defogging parameters in response to a density of fog to remove fog.

Abstract: An apparatus and a method for processing an image mounted in a vehicle include a camera mounted in the vehicle to acquire image data around the vehicle. A controller is configured to analyze the image data to extract at least one light region having an elliptical shape or a closed surface shape formed of a free curve, separates the light region into a point source and reflected light, and then corrects and outputs the image data of a location at which the reflected light is confirmed.

Abstract: The present disclosure relates to an apparatus and a method for removing fog in an image capable of providing a defogged image without a sense of difference by adaptively controlling defogging parameters in response to a density of fog to remove fog.

Abstract: An apparatus and a method for processing an image mounted in a vehicle include a camera mounted in the vehicle to acquire image data around the vehicle. A controller is configured to analyze the image data to extract at least one light region having an elliptical shape or a closed surface shape formed of a free curve, separates the light region into a point source and reflected light, and then corrects and outputs the image data of a location at which the reflected light is confirmed.