Abstract: In a composite image generation apparatus that is mounted in an own vehicle, each of captured images, which have been captured by a plurality of imaging units, are acquired. A disturbance level for each of the plurality of captured images that have been acquired is determined. The disturbance level indicates: whether or not a disturbance is present in the captured image; or an extent of the disturbance. In an overlapping area in which imaging areas of the plurality of captured images overlap, one or more captured images is selected from the plurality of captured images so that the area occupied by a captured image having a higher disturbance level among the plurality captured images is smaller. A composite image is generated based on the plurality of captured images. In the overlapping area, the composite image is generated by using the captured image selected based on the disturbance level.

Abstract: A boundary line recognition apparatus receives detection results transmitted from camera devices and a laser radar device performing different optical detection methods. These detection results indicate information regarding a lane boundary line of a vehicle lane on a roadway on which an own vehicle drives. The apparatus further obtains surrounding environmental information of the own vehicle on the roadway, and selects at least one of the camera devices and the laser radar device suitable for correctly recognizing the lane boundary line on the basis of the environmental information. The apparatus finally recognizes the lane boundary line with high accuracy on the basis of the detection result transmitted form one or more devices selected based on the environment information.

Abstract: A boundary line recognition apparatus receives detection results transmitted from camera devices and a laser radar device performing different optical detection methods. These detection results indicate information regarding a lane boundary line of a vehicle lane on a roadway on which an own vehicle drives. The apparatus further obtains surrounding environmental information of the own vehicle on the roadway, and selects at least one of the camera devices and the laser radar device suitable for correctly recognizing the lane boundary line on the basis of the environmental information. The apparatus finally recognizes the lane boundary line with high accuracy on the basis of the detection result transmitted form one or more devices selected based on the environment information.

Abstract: In a composite image generation apparatus that is mounted in an own vehicle, each of captured images, which have been captured by a plurality of imaging units, are acquired. A disturbance level for each of the plurality of captured images that have been acquired is determined. The disturbance level indicates: whether or not a disturbance is present in the captured image; or an extent of the disturbance. In an overlapping area in which imaging areas of the plurality of captured images overlap, one or more captured images is selected from the plurality of captured images so that the area occupied by a captured image having a higher disturbance level among the plurality captured images is smaller. A composite image is generated based on the plurality of captured images. In the overlapping area, the composite image is generated by using the captured image selected based on the disturbance level.

Abstract: In a synthesized image generation device, an image processing section receives acquired images transmitted from in-vehicle cameras, and selects some of the acquired images having different image acquiring regions which are not overlapped with each other. The image processing section generates synthesized image data on the basis of the selected acquired images. This avoids a process of cutting a predetermined image area from the acquired images during the generation of the synthesized image data as a bird's eye view. It is possible for the image processing section to prevent a part of a clear acquired image from being cut and eliminated even if the clear acquired image and unclear acquired image are selected simultaneously and combined, and extract road markings from the synthesized image data with high accuracy.

Abstract: An object recognition apparatus sets each of keypoints extracted from a typical image and one of keypoints extracted from an input image, having scale invariant features similar to each other, as a typical corresponding point and an object corresponding point matching with each other, and produces a position vector directed from a typical reference point of the typical image to each typical keypoint. The apparatus determines a position of an object reference point in the input image from a position of each object corresponding point and the vector of the typical corresponding point matching with the object corresponding point. When the positions of the object reference point are concentrated, the apparatus judges that an object picture having the object corresponding points in the input image matches with the typical image, and the apparatus recognizes the picture as an object indicated by the typical image.

Abstract: An object recognition apparatus sets each of keypoints extracted from a typical image and one of keypoints extracted from an input image, having scale invariant features similar to each other, as a typical corresponding point and an object corresponding point matching with each other, and produces a position vector directed from a typical reference point of the typical image to each typical keypoint. The apparatus determines a position of an object reference point in the input image from a position of each object corresponding point and the vector of the typical corresponding point matching with the object corresponding point. When the positions of the object reference point are concentrated, the apparatus judges that an object picture having the object corresponding points in the input image matches with the typical image, and the apparatus recognizes the picture as an object indicated by the typical image.