An image processing apparatus includes a conversion unit, a generation unit, and a processing unit. The conversion unit is configured to convert an original image received from a plurality of cameras into a top view image. The generation unit is configured to generate a surround view monitor (SVM) image by synthesizing a bottom image extracted from the top view image and a wall image extracted from the original image. The processing unit is configured to generate a modified SVM image by adjusting an area of the bottom image and an area of the wall image according to an adjustment condition, and to process the generated image into a display signal.

An image processing device includes: a first generation unit which generates first target parking frame information based on an image taken by a first shooting unit that is provided at a side position of a vehicle; a second generation unit which generates second target parking frame information based on an image taken by a second shooting unit that is provided at a front or rear position of the vehicle; and a determination unit which determines a stop position in a parking frame by generating third target parking frame information to serve as a stop target based on the first target parking frame information generated by the first generation unit and the second target parking frame information generated by the second generation unit.

The invention relates to a parking lot corner point correction method and system. The method includes: an obtaining step of obtaining a parking lot corner point of a parking lot; and a correction step of performing, based on a position relationship between parking lot corner points of the parking lot, rectangular correction on the parking lot corner points to obtain a corrected parking lot. The obtaining step includes: a first obtaining sub-step of obtaining a parking lot corner point of a parking lot; a determination sub-step of determining whether a corner point confidence level of the parking lot corner point meets a first threshold and whether a corner point offset thereof meets a second threshold, and jumping to the correction step if it is determined that the corner point confidence level meets the first threshold and the corner point offset meets the second threshold, otherwise, proceeding to a second obtaining sub-step; and the second obtaining sub-step of discarding the parking lot corner point of the parking lot that is detected in the first obtaining sub-step, and then using a parking lot corner point at a corresponding position that is predicted by an odometer, as the parking lot corner point of the parking lot. According to the invention, the parking accuracy may be improved.

A navigation system includes: a user interface configured to: receive a sensor data packet for a scan area; a control circuit, coupled to the user interface, configured to: analyze the sensor data packet submitted to a multilayer neural network already trained including storing the sensor data packet; parse the sensor data packet with the multilayer neural network to generate real world endpoints and a bounding box including identifying the real world coordinates; apply line rules, including identifying a parking space by the real world endpoints including storing the real world endpoints in the storage circuit; compile an overhead depiction including boundary lines of the parking space identified by the real world endpoints and the bounding box in the scan area; merge vehicle maneuvering instructions into the overhead depiction for accessing the parking space; and present the overhead depiction for displaying on a user display.

Provided is a system for controlling a detecting distance of an ultrasonic sensor based on ground recognition. The system includes: an ultrasonic sensor provided in a vehicle and configured to, when driven, recognize an object in front of or behind the vehicle; an image capturing unit configured to capture an image of a detection area of the ultrasonic sensor; a ground type recognizer configured to recognize a ground type corresponding to the detecting area of the ultrasonic sensor using the image acquired through the image capturing unit; and a sensing threshold changer configured to, when a travelling speed of the vehicle satisfies a preset condition, change a sensing threshold of the ultrasonic sensor according to the recognized ground type.

Techniques including receiving a distorted image from a camera disposed about a vehicle, detecting, in the distorted image, corner points associated with a target object, mapping the corner points to a distortion corrected domain based on one or more camera parameters, mapping the corner points and lines between the corner points back to a distorted domain based on the camera parameters, interpolating one or more intermediate points to generate lines between the corner points in the distortion corrected domain mapping the corner points and the lines between the corner points back to a distorted domain based on the camera parameters, and adjusting a direction of travel of the vehicle based on the located target object.

Provided are a video data acquisition unit that acquires video data captured by a camera; an event detection unit that detects an event occurring on a vehicle; a parking tendency determination unit that determines a tendency of a parking time at a parking position of the vehicle; and a recording function control unit that, when an event is detected while the vehicle is parked, controls a parking recording function for storing the video data captured by the camera.

Provided are an apparatus and a method for generating a two-dimensional map or a surround-view image in which an object with low position reliability is set as an enlarged display object. A data processing section configured to receive an image captured by a camera that captures the image of surroundings of a vehicle and generate a two-dimensional map including objects in the surroundings of the vehicle is included. The data processing section generates the two-dimensional map or a surround-view image including an enlarged display object having an enlarged region set thereto, the enlarged region which, in case of an object with low position reliability, extends around the object. The data processing section determines that an object whose image height is equal to or greater than a predetermined image height threshold is an object with low position reliability, while determining that an object whose image height is not equal to or greater than the image height threshold is an object with high position reliability.

The exemplary embodiments relate to a parking assistance system for a vehicle, designed to present surroundings of the vehicle. The parking assistance system can include at least one camera designed to record at least one image. The parking assistance system may use a grid structure to present the surroundings of the vehicle for a user. Additionally, the parking assistance system may have an image evaluation unit designed to determine the relative position and the orientation of another vehicle depicted in the image. Additionally, the image evaluation unit may be designed to adapt a grid structure on the basis of the determined orientation of the other vehicle, with the image being projected onto the adapted grid structure.

A vehicle parking assistance device includes an image sensing device, an artificial intelligence learning device, and a controller connected with the image sensing device and the artificial intelligence learning device. The controller is configured to obtain an image using the image sensing device, detect at least one parking line pair in the obtained image, detect a parking slot based on deep learning, detect a parking area based on the detected parking slot and the at least one detected parking pair, detect an entrance point for the parking area, and generate parking information based on the parking area and the entrance point.