Abstract: 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.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a memory storing a program including a plurality of program codes and performing a predetermined function; a communicator configured to receive policy information including target information and determination information from an external server; and a processor configured to perform the predetermined function using the program and, when a program code corresponding to the target information is executed while performing the predetermined function, compare an execution result of the program code with the determination information and determine whether the program code normally operates.

Abstract: 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.

Abstract: 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.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a memory storing a program including a plurality of program codes and performing a predetermined function; a communicator configured to receive policy information including target information and determination information from an external server; and a processor configured to perform the predetermined function using the program and, when a program code corresponding to the target information is executed while performing the predetermined function, compare an execution result of the program code with the determination information and determine whether the program code normally operates.

Abstract: A method and an electronic apparatus for converting debugging information to a binary form and providing more information in the same capacity memory are disclosed. A control method of the electronic apparatus which records debugging information, the method includes: obtaining debugging information using a source code; adding index information corresponding to the debugging information to the debugging information and storing the debugging information in a buffer; and converting a plurality of pieces of index information stored in the buffer to a binary file.

Abstract: An example broadcasting signal receiving apparatus includes a signal receiver configured to receive a broadcasting signal of a channel tuned among a plurality of channels; an information processor configured to process channel information embedded in the broadcasting signal; a plurality of signal processors configured to sequentially perform a plurality of signal processes based on the channel information with respect to the received broadcasting signal; a storage configured to store the channel information processed by the information processor; and a channel-switching setting portion comprising channel-switching setting circuitry configured to perform a channel-switching setting operation for at least one among the plurality of signal processors based on the channel information stored in the storage in response to switching of the channel.

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 method and an electronic apparatus for converting debugging information to a binary form and providing more information in the same capacity memory are disclosed. A control method of the electronic apparatus which records debugging information, the method includes: obtaining debugging information using a source code; adding index information corresponding to the debugging information to the debugging information and storing the debugging information in a buffer; and converting a plurality of pieces of index information stored in the buffer to a binary file.

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 display apparatus includes a display configured to display an image based on at least one between received first and second broadcast signals, a first signal processor configured to selectively activate and inactivate an operation for processing the first broadcast signal, a second signal processor configured to selectively activate and inactivate an operation for processing the second broadcast signal, and a controller configured to control the first signal processor and the second signal processor to selectively activate or inactivate the operations for processing the first broadcast signal and the second broadcast signal in response to a command for switching between the first broadcast signal and the second broadcast signal.

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).