Plk Technologies Co., Ltd.

Aimatics Co.,ltd

Seoul National University

Pantech Co., Ltd.

A. I. Matics Inc.

Plk Technologies

Jin Hyuck Kim

Sang Mook Lim

Kwang Il Park

Byung Ho Min

So-Young Jeong

Kyung Eun Park

Hyeonsang Eom

Gun-wook Kim

Jin Wook Lim

The present disclosure relates to a method of selecting an accident image by using speed profile analysis, which can sufficiently secure an available capacity of a storage medium, can reduce the amount of transmission data and a fee therefor, and can prevent a loss of unnecessary management expenses, by selecting an actual accident image by using speed profile analysis before and after the occurrence of an impact event and deleting, from the storage medium, an image having a grade determined to have a low accident possibility or changing a state of the image into an overwriteable state or taking measures for preventing the transmission of the image to a cloud server.

Method of selecting accident image based on speed profile analysis

The present disclosure relates to a method of selecting an accident image using the results of the recognition of an obstacle on a road, which can distinguish between an actual accident image and a fake accident image by previously recognizing an obstacle on a road while a vehicle travels and determining an impact event to have a low accident possibility, the impact event occurring in a section in which the vehicle goes over the obstacle, or suppressing the impact event, and can secure a space of a storage medium by deleting the fake accident image or prevent a data usage fee and unnecessary management expenses by blocking the transmission of the fake accident image to a remote cloud server.

Method of selecting accident image using results of recognition of obstacle on road

The present disclosure relates to a system for predicting a near future location of an object, which predicts a near future location of a dynamic object, through learning for sampling a sample obtained by estimating a location of the dynamic object by learning an image at current timing, which is captured by a camera, based on artificial intelligence and for changing the sample of the dynamic object whose location has been estimated into a Gaussian mixture model (GMM) by using history data.

System for predicting near future location of object

The present disclosure relates to a method of selecting an accident image by using speed profile analysis, which can sufficiently secure an available capacity of a storage medium, can reduce the amount of transmission data and a fee therefor, and can prevent a loss of unnecessary management expenses, by selecting an actual accident image by using speed profile analysis before and after the occurrence of an impact event and deleting, from the storage medium, an image having a grade determined to have a low accident possibility or changing a state of the image into an overwritable state or taking measures for preventing the transmission of the image to a cloud server.

Disclosed is a lane departure warning determination method using driver state monitoring, which includes (a) recognizing a lane around a vehicle from an image photographed by a lane recognition camera and extracting lane information; (b) extracting facial feature points of a driver from an image photographed by a driver recognition camera; (c) determining from the lane information whether the vehicle is in a lane departure state or a lane approaching state; (d) when it is determined in step (c) that the vehicle is in the lane departure state, generating a warning when a face tilt of the driver exceeds a first angle; and (e) when it is determined in step (c) that the vehicle is in the lane approaching state, generating a warning when the face tilt of the driver exceeds a second angle.

Lane departure warning determination method using driver state monitoring

The present invention relates to a pedestrian recognition apparatus. A pedestrian recognition apparatus may comprises: an image receiving unit configured to sequentially receive a plurality of images from a camera; and a pedestrian determination unit configured to perform a pedestrian candidate object detection process of detecting a pedestrian candidate object from one or more objects in the images, a mobility determination process of determining whether the pedestrian candidate object is moving, using the plurality of images, and setting the pedestrian candidate object to a moving pedestrian candidate object, and a pedestrian possibility determination process of performing a predefined operation on the moving pedestrian candidate object, and setting the moving pedestrian candidate object to a pedestrian when a value calculated through the predefined operation is equal to or more than a threshold value.

Pedestrian recognition apparatus and method

A side safety assistant device for a large vehicle may include: a rear camera module mounted at the rear of at least one side surface of a large vehicle and configured to image an object while facing the front of the large vehicle; a front camera module mounted at the front of at least one side surface of the large vehicle and configured to image an object while facing the rear of the large vehicle; one or more image recognition modules configured to receive an image taken by the rear and front camera modules, extract an object included in the image, determine whether the extracted object is a moving object, determine whether the moving object is located in a preset dangerous zone, and output a collision risk signal; a warning unit configured to output a visual or auditory warning signal; and a control unit configured to operate the warning unit.

Side safety assistant device and method for large vehicle

A moving object collision warning system for a large vehicle may include: a rear camera module mounted on the rear of at least one side of a large vehicle, and configured to take an image of an object while facing the front of the large vehicle; an image receiving unit configured to receive the image taken by the rear camera module; a moving object determination unit configured to recognize the image received by the image receiving unit, extract an object included in the image, and determine whether the extracted object is a moving object, wherein the moving object includes one or more of a bicycle, a two-wheeled vehicle and a pedestrian; a moving object collision possibility determination unit configured to determine whether the moving object determined by the moving object determination unit is located in a preset danger zone, and output a collision risk signal; a warning unit configured to output a visual or audible warning signal to a driver of the large vehicle; and a control unit configured to operate the warning unit when the moving object collision possibility determination unit outputs the collision risk signal.

Moving object collision warning system and method for large vehicle

A vanishing point correction method may include the steps of: (a) extracting a contour candidate point of an object considered as the forward vehicle from the image taken by the camera; (b) tracking a movement of the contour candidate point over time; (c) determining whether the contour candidate point belongs to the vehicle; (d) setting the contour candidate point to a vehicle contour point of the forward vehicle, when it is determined at the step (c) that the contour candidate point belongs to the vehicle; (e) calculating a variation in width between vehicle contour points at the same height among the vehicle contour points; and (f) calculating a variation of the vanishing point.

Vanishing point correction apparatus and method

A forward collision warning method may include the steps of: (a) extracting a contour candidate point of an object considered as the forward vehicle from an image taken by a camera; (b) tracking a movement of the contour candidate point over time; (c) determining whether the contour candidate point belongs to the vehicle; (d) setting the contour candidate point to a vehicle contour point of the forward vehicle, when it is determined at the step (c) that the contour candidate point belongs to the vehicle; (e) estimating a height of the vehicle contour point from the ground surface; (f) calculating a relative distance to the forward vehicle through Equation below; and (g) calculating a time to collision (TTC) using the relative distance: 

Forward collision warning system and method

A vehicle collision warning prevention method includes the steps of: (a) extracting a forward video of a vehicle and video recognition information from a video recognition module mounted in a vehicle, and detecting a size change rate of a forward object included in the video recognition information at each frame of the forward video; (b) calculating an average OFCR of a predetermined frame section; (c) determining whether a value obtained by subtracting the average OFCR from a current OFCR is less than a predetermined threshold value; (d) determining that a brake operation signal is generated when it is determined that the value is less than the threshold value; (e) determining whether a collision warning signal is generated within a predetermined time after the step (d); and (f) preventing an output of the collision warning signal when the collision warning signal is generated at the step (e).

Vehicle collision warning prevention method using optical flow analysis

The present invention can improve the recognition performance of a traffic sign board, improve the recognition performance of a reflective traffic sign board and a light emitting type traffic sign board by adjusting an exposure of a camera, improve the recognition performance of the reflective traffic sign board and the light emitting type traffic sign board by adjusting gain of an image signal, and improve the recognition performance of the reflective traffic sign board and the light emitting type traffic sign board by simultaneously adjusting the exposure of the camera and the gain of the image signal. In an image recognition system for a vehicle for traffic sign board recognition according to the present invention, an exposure time of a camera lens or gain of an image output from an image sensor is adjusted to generate at least one image group including a plurality of frames in which the exposure time and the gain are different from each other, sign board regions of the plurality of frames are compared with each other, and an image nearest to a predetermined set value is selected.

Image recognition system for vehicle for traffic sign board recognition

A navigation system may include: a GPS module; an image recognition module having a line recognition function; a roadmap storage module configured to store roadmap information and route change possible section information through which a route of a vehicle is changed; a roadmap receiving module configured to receive the roadmap information; and an arithmetic processing module configured to determine whether the route of the vehicle is changed, based on the route change possible section information and line recognition information recognized by the image recognition module.

Navigation system for determining route change of vehicle

Provided is a GPS correction system and method which corrects position information obtained from a low-precision GPS device using image recognition information. The GPS correction system using image recognition system includes: a GPS module; an image recognition device having a line recognition function; a road map storage unit configured to store road map information including line characteristic information or a road map receiving unit configured to receive the road map information; and an information processing device configured to compare the line recognition information acquired through the image recognition device to the line characteristic information, correct a current position measured by the GPS module, and calculate traveling lane information.

Vehicle position recognition apparatus and method using image recognition information

Provided is a route change determination system and method using image recognition information, which is capable of extracting position information having high precision similar to that of a high-precision DGPS device, while using a low-precision GPS device, in order to determine a change of a traveling route. The route change determination system using image recognition system includes: a GPS module; an image recognition module having a line recognition function; a road map storage module configured to store road map information and route change possible section information for changing a route of a vehicle; a road map receiving module configured to receive the road map information; and an information processing module configured to determine whether the route is changed or not, based on line recognition information acquired through the image recognition module and the route change possible section information.

Growing community of inventors

Seoul, South Korea

Jin Hyuck Kim