Abstract:
An automated parking system of a vehicle autonomously moves to and parks in a vacant parking slot based on communication with an infrastructure facility for automated parking. In particular, the infrastructure facility transmits an autonomous valet parking start command to the vehicle and then transmits a target position and a guide route to the vehicle. The vehicle performs autonomous valet parking based on the target position and the guide route received from the infrastructure facility, and may apply an emergency brake when an area around the vehicle is determined as being unsafe during autonomous driving to the target position.
Abstract:
Disclosed herein is an apparatus for detecting an obstacle for an around view monitoring system including a processor configured to store a plurality of images captured through an imaging device, convert a view of the images, generate a plurality of view conversion images corresponding to the images, compare the view conversion images corresponding to a plurality of images captured at a different time interval, extract a plurality of overlapping areas between the view conversion images, calculate a degree of mismatch of the overlapping areas between the view conversion images, detect a mismatch area in the overlapping areas, classify the mismatch area as an obstacle area, and display a position of the obstacle through a display of a vehicle.
Abstract:
An automated parking system and a method enables a vehicle to autonomously travel to and parks in a vacant parking slot based on communication with a parking infrastructure. In addition, the automated parking system and method for a driverless vehicle is capable of autonomously traveling from a parking slot to a pickup area via communication with the parking infrastructure.
Abstract:
A lane display device using an outside mirror is disclosed. The lane display device includes a lane detection unit detecting a lane from a side view image of a vehicle; a control unit determining a position of the lane on an outside mirror corresponding to a position of the lane detected by the lane detection unit, and controlling the outside mirror to display the lane in the determined position; and the outside mirror including a display unit and a half mirror and displaying the lane.
Abstract:
Disclosed herein is an apparatus for detecting an obstacle for an around view monitoring system including a processor configured to store a plurality of images captured through an imaging device, convert a view of the images, generate a plurality of view conversion images corresponding to the images, compare the view conversion images corresponding to a plurality of images captured at a different time interval, extract a plurality of overlapping areas between the view conversion images, calculate a degree of mismatch of the overlapping areas between the view conversion images, detect a mismatch area in the overlapping areas, classify the mismatch area as an obstacle area, and display a position of the obstacle through a display of a vehicle.
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 automated parking system and a method enables a vehicle to autonomously travel to and parks in a vacant parking slot based on communication with a parking infrastructure. In addition, the automated parking system and method for a driverless vehicle is capable of autonomously traveling from a parking slot to a pickup area via communication with the parking infrastructure.
Abstract:
Disclosed are an adaptive cruise control apparatus and an adaptive cruise control method using the same. An adaptive cruise control apparatus comprises an image acquisition device for acquiring image data in front of a subject vehicle; and a processor configured to detect presence of a forward vehicle using the image data; obtain information on the forward vehicle by using information on the presence of the forward vehicle and the image data; and predict a trajectory and speed of the subject vehicle using the information on the forward vehicle.