摘要:
Information of light from a subject is converted into information of the electric charges to generate image data for one screen in an image pickup device, the image data is outputted to an image processing LSI, only the image data belonging to a plurality of areas is selected by a processing amount reduction unit, the selected image data is transferred to a RAM in a single chop by a data transfer unit, and the processing of recognizing a white line is executed by a CPU on the basis of the image data stored in the RAM.
摘要:
Information of light from a subject is converted into information of the electric charges to generate image data for one screen in an image pickup device, the image data is outputted to an image processing LSI, only the image data belonging to a plurality of areas is selected by a processing amount reduction unit, the selected image data is transferred to a RAM in a single chop by a data transfer unit, and the processing of recognizing a white line is executed by a CPU on the basis of the image data stored in the RAM.
摘要:
A traveling lane detector according to the present invention includes: an imaging unit mounted on a vehicle to take a road surface image; and an image processor performing image processing on the image to detect lane marks on the road surface. The image processor judges whether the vehicle is crossing the lane marks, and, when the vehicle is not crossing any of the lane marks, defines first and second windows, in the image, for detecting the lane marks located respectively on left and right parts of a road surface in front of or behind the vehicle, performs image processing on the image in each of the windows to detect the lane marks, and, when the vehicle is crossing any of the lane marks, defines a third window including the currently-crossed lane mark in the image, performs image processing on the image in the third window to detect the lane mark.
摘要:
A traveling lane detector according to the present invention includes: an imaging unit mounted on a vehicle to take a road surface image; and an image processor performing image processing on the image to detect lane marks on the road surface. The image processor judges whether the vehicle is crossing the lane marks, and, when the vehicle is not crossing any of the lane marks, defines first and second windows, in the image, for detecting the lane marks located respectively on left and right parts of a road surface in front of or behind the vehicle, performs image processing on the image in each of the windows to detect the lane marks, and, when the vehicle is crossing any of the lane marks, defines a third window including the currently-crossed lane mark in the image, performs image processing on the image in the third window to detect the lane mark.
摘要:
A virtual vehicle which approaches to a monitor-side vehicle and a virtual background are defined in a camera image, and a region in which a virtual vehicle moves fast with respect to a virtual background is defined as a first region F1, and a region in which a virtual vehicle moves slowly with respect to a virtual background is defined as a second region F2. Then, the first region F1 and the second region F2 combined with an actual camera image. In the first region F1, in which the virtual vehicle moves fast, a monitored vehicle is detected by a movement aspect of feature portions in the region, and in the second region F2, in which the virtual vehicle moves slowly, a monitored vehicle is detected by pattern recognition.
摘要:
A virtual vehicle which approaches to a monitor-side vehicle and a virtual background are defined in a camera image, and a region in which a virtual vehicle moves fast with respect to a virtual background is defined as a first region F1, and a region in which a virtual vehicle moves slowly with respect to a virtual background is defined as a second region F2. Then, the first region F1 and the second region F2 are applied to an actual camera image. In the first region F1 in which a virtual vehicle moves fast, a monitored vehicle is detected by a movement aspect of feature portions in the region, and in the second region F2 in which a virtual vehicle moves slowly, a monitored vehicle is detected by pattern recognition.
摘要:
An on-vehicle camera calibration apparatus includes: an on-vehicle camera; a camera parameter calculation unit configured to calculate camera parameters from a characteristic amount of a road surface sign photographed by the on-vehicle camera and recognized by an image processing and to output the camera parameters, wherein the camera parameters include an installation height and installation angle of the on-vehicle camera in photographing; and a camera parameter calibration unit configured to perform optical axis calibration control of the on-vehicle camera by the camera parameters output from the camera parameter calculation unit.
摘要:
In conventional systems using an onboard camera disposed rearward of a vehicle for recognizing an object surrounding the vehicle, the object is recognized by the camera disposed rearward of the vehicle. In the image recognized by the camera, a road surface marking taken by the camera appears at a lower end of a screen of the image, which makes it difficult to predict a specific position in the screen from which the road surface marking appears. Further, an angle of depression of the camera is large, and it is a short period of time to acquire the object. Therefore, it is difficult to improve a recognition rate and to reduce false recognition. Results of recognition (type, position, angle, recognition time) made by a camera disposed forward of the vehicle, are used to predict a specific timing and a specific position of a field of view of a camera disposed rearward of the vehicle, at which the object appears. Parameters of recognition logic of the rearwardly disposed camera and processing timing are then optimally adjusted. Further, luminance information of the image from the forwardly disposed camera is used to predict possible changes to be made in luminance of the field of view of the rearwardly disposed camera. Gain and exposure time of the rearwardly disposed camera are then adjusted.
摘要:
In conventional systems using an onboard camera disposed rearward of a vehicle for recognizing an object surrounding the vehicle, the object is recognized by the camera disposed rearward of the vehicle. In the image recognized by the camera, a road surface marking taken by the camera appears at a lower end of a screen of the image, which makes it difficult to predict a specific position in the screen from which the road surface marking appears. Further, an angle of depression of the camera is large, and it is a short period of time to acquire the object. Therefore, it is difficult to improve a recognition rate and to reduce false recognition. Results of recognition (type, position, angle, recognition time) made by a camera disposed forward of the vehicle, are used to predict a specific timing and a specific position of a field of view of a camera disposed rearward of the vehicle, at which the object appears. Parameters of recognition logic of the rearwardly disposed camera and processing timing are then optimally adjusted. Further, luminance information of the image from the forwardly disposed camera is used to predict possible changes to be made in luminance of the field of view of the rearwardly disposed camera. Gain and exposure time of the rearwardly disposed camera are then adjusted.
摘要:
An in-vehicle running-environment recognition apparatus including an input unit for inputting an image signal from in-vehicle imaging devices for photographing external environment of a vehicle, an image processing unit for detecting a first image area by processing the image signal, the first image area having a factor which prevents recognition of the external environment, an image determination unit for determining a second image area based on at least any one of size of the first image area, position thereof, and set-up positions of the in-vehicle imaging devices having the first image area, an environment recognition processing being performed in the second image area, the first image area being detected by the image processing unit, and an environment recognition unit for recognizing the external environment of the vehicle based on the second image area.