摘要:
An object recognition system including a radar, an image sensor and a controller is provided. The radar determines the position of an object, and the image sensor captures an image of the object. The controller sets a processing area within the image captured by the image sensor based on the position of the object determined by the radar and a predetermined size for the object to be recognized. The controller extracts horizontal and vertical edges from the processing area, and preferably judges whether each of the extracted edges belongs to the object based on characteristics of the object to be recognized. The controller then recognizes the outline of the object based on the edges judged to belong to the object. The object can be recognized by determining upper, lower, left and right ends of the object. On the other hand, the controller recognizes lane lines defining the lane in which the vehicle mounting the system of the invention is running. Thus, the relative position of the object to the lane lines is determined by comparing the intersections between a horizontal line corresponding to the lower end of the object and the lane lines with the left and right ends of the object.
摘要:
An object recognition system having at least two image sensors and a controller that is adapted for measuring the distance from the system to a physical object with respect to respective windows of a n image captured by the sensors. The controller is further programmed to form clusters by uniting adjacent windows that have similar measure distances. The controller is programmed to judge whether each of the clusters is valid or invalid based on the attributes of the cluster and to recognize an object based on the clusters judged to be valid.
摘要:
An object recognition system mounted on a vehicle comprises a camera and a controller. The camera captures an image in front of the vehicle. The controller divides the image into a plurality of windows. The controller measures distance to the road surface for each of the plurality of windows and thereby obtains a plurality of distances. The controller estimates a relative inclination of the road surface against the vehicle based on the plurality of distances. The controller judges, for each of the plurality of windows, based on the estimated inclination, whether the object is an obstacle or the road surface and thereby obtains a judgment result. The controller recognizes the object based on the judgment result. The system recognizes objects in front of the vehicle even when the vehicle is lopsided by pitching, rolling or else.
摘要:
An object recognition system including a position sensor, an image sensor and a controller is provided. The position sensor determines the position of an object, and the image sensor captures an image of the object. The controller sets a processing area within the image captured by the image sensor based on the position of the object determined by the position sensor and a predetermined size for the object to be recognized. The controller extracts horizontal edges from the processing area, and judges whether each of the extracted edges belongs to the object based on characteristics of the object to be recognized. More practically, the controller can check if each of the extracted edges contains a pixel on a boundary of the processing area. If so, the controller judges to the edge to belong to an object other than the object. The controller can also examine the linearity of each of the extracted edges. If the linearity is larger than a predetermined value, the controller judges the edge to belong to an object other than the object. The controller can also examine the slope of each of the extracted edges. If the slope is larger than a predetermined value, the controller judges the edge to belong to an object other than the object. Thus, the edges judged to belong to an object other than the object are removed. The controller recognizes the outline of the object based on the edges judged to belong to the object.
摘要:
An object recognition system including a position sensor, an image sensor and a controller is provided. The position sensor determines the position of an object, and the image sensor captures an image of the object. The controller sets a processing area within the image captured by the image sensor based on the position of the object determined by the position sensor and a predetermined size for the object to be recognized. The controller extracts horizontal edges from the processing area, and identifies horizontal edges belonging to the outline of the object from the extracted edges. Thus, the object can be recognized based on the horizontal edges only. Similarly, the controller can extract vertical edges from the processing area and identify vertical edges belonging to the outline of the object. Preferably, the controller selects upper, lower, left, and right horizontal and vertical candidate ends of the object from the identified horizontal and vertical edges respectively, from which upper, lower, left, and right ends of the object are determined. If either one or both of the left and right horizontal candidate ends cannot be selected, candidate ends can be estimated based on the position of the object recognized in a previous recognition cycle, and the estimated candidate ends can be used in lieu of the candidate ends selected from the horizontal edges.
摘要:
An image processing system and the like capable of recognizing a lane mark in a road image with high accuracy are provided even if a light illumination state on a road surface is partially different. According to the image processing system (100) mounted on a vehicle (10), a color component (Rij, Gij, Bij) of the first pixel (Pij) included in an area (Aij) set in the road image is corrected with reference to a color component (Rik, Gik, Bik) of a second pixel (Pik) in view of a fact that it is highly probable that the color component of the second pixel included in the area along with the first pixel is affected by a shadow or light on the road surface. This reduces the effect of the shadow or light on the road surface and the actual color of a road surface portion corresponding to the first pixel can be sufficiently reflected in the color components (Rij, Gij, Bij) of the first pixel (Pij) and consequently in a feature value (Qij). Therefore, a lane mark (M) and its edge (E) are recognized in the road image on the basis of the feature value (Qij) of each pixel (Pij) in the road image.
摘要:
A vehicle capable of preventing detection of stud-type lane marks from being impossible and a vehicle having a lane mark recognizer are provided. The vehicle includes installation interval recognizing means (21) which recognizes an interval (L) between Botts Dots, vehicle speed recognizing means (22) which recognizes a traveling speed (v) of the vehicle, image synthesizing means (13) which generates synthesized image data (M3) by combining image data (M1) stored in an image memory (11) through an image input circuit (10) and image data (M2) stored in an image memory (12) through the same, imaging timing determining means (20) which determines the timing of imaging by a camera (2) on the basis of the interval (L) and the traveling speed (v) when acquiring the image data (M1, M2) in such a way that the positions of the Botts Dots in the image data (M1, M2) are different therebetween, and Botts Dots detecting means (14) which detects the Botts Dots from the synthesized image data (M3).
摘要:
An image processing system and the like capable of recognizing a lane mark in a road image with high accuracy are provided even if a light illumination state on a road surface is partially different. According to the image processing system (100) mounted on a vehicle (10), a color component (Rij, Gij, Bij) of the first pixel (Pij) included in an area (Aij) set in the road image is corrected with reference to a color component (Rik, Gik, Bik) of a second pixel (Pik) in view of a fact that it is highly probable that the color component of the second pixel included in the area along with the first pixel is affected by a shadow or light on the road surface. This reduces the effect of the shadow or light on the road surface and the actual color of a road surface portion corresponding to the first pixel can be sufficiently reflected in the color components (Rij, Gij, Bij) of the first pixel (Pij) and consequently in a feature value (Qij). Therefore, a lane mark (M) and its edge (E) are recognized in the road image on the basis of the feature value (Qij) of each pixel (Pij) in the road image.
摘要:
There is provided an image acquisition means (2) for acquiring a color image of a road via an imaging means (9) mounted on a vehicle (8), a lane mark detection means (3, 4) for performing processing of detecting lane marks of a plurality of predetermined colors different from each other on the road based on color information of the color image, and outputting a result of the processing as lane mark candidate data, and a selection means (6) for selecting lane mark candidate data corresponding to a lane mark defining an actual lane on which the vehicle (8) is traveling from among at least the lane mark candidate data for the respective predetermined colors output from the lane mark detection means (3, 4), and determining and outputting lane data indicating information of the actual lane based on the selected lane mark candidate data. Therefore, even if there are lane marks of different colors on the road, the lane marks of the respective colors can be recognized appropriately from the color image of the road acquired via the imaging means such as a camera.
摘要:
There is provided an image acquisition means (2) for acquiring a color image of a road via an imaging means (9) mounted on a vehicle (8), a lane mark detection means (3, 4) for performing processing of detecting lane marks of a plurality of predetermined colors different from each other on the road based on color information of the color image, and outputting a result of the processing as lane mark candidate data, and a selection means (6) for selecting lane mark candidate data corresponding to a lane mark defining an actual lane on which the vehicle (8) is traveling from among at least the lane mark candidate data for the respective predetermined colors output from the lane mark detection means (3, 4), and determining and outputting lane data indicating information of the actual lane based on the selected lane mark candidate data. Therefore, even if there are lane marks of different colors on the road, the lane marks of the respective colors can be recognized appropriately from the color image of the road acquired via the imaging means such as a camera.