Abstract: 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.

Abstract: 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.

Abstract: 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 t

Abstract: 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.

Abstract: 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: Z = ? ? ? h - Yc yc .

Abstract: 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.

Abstract: 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 t

Abstract: 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.

Abstract: 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: Z=?h?Yc/yc ??Equation.

Abstract: 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.

Abstract: 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).

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Provided is a method of storing accident data for a vehicle, in which image data taken by a camera during driving is stored in real time, a weight value is set according to a measured impulse value to calculate a priority index and data is stored in a memory based on the priority index, thereby preventing initial accident-cause data from being deleted over time. The method includes acquiring driving data including image data, setting a weight value corresponding to an average impulse value and calculating a priority index, selecting a block having a lowest priority index and storing the driving data in the selected block if the capacity of the volatile memory is full, determining whether a timer starts, and reading out all data stored in the volatile memory and storing the read data in the non-volatile memory if the predetermined amount of time has elapsed.

Abstract: Provided is a method of storing accident data for a vehicle, in which image data taken by a camera during driving is stored in real time, a weight value is set according to a measured impulse value to calculate a priority index and data is stored in a memory based on the priority index, thereby preventing initial accident-cause data from being deleted over time. The method includes acquiring driving data including image data, setting a weight value corresponding to an average impulse value and calculating a priority index, selecting a block having a lowest priority index and storing the driving data in the selected block if the capacity of the volatile memory is full, determining whether a timer starts, and reading out all data stored in the volatile memory and storing the read data in the non-volatile memory if the predetermined amount of time has elapsed.