Abstract: The present invention provides a traveling road boundary estimation apparatus that is capable of estimating the position and shape of a traveling road boundary highly reliably, and a traveling assistance system.

Abstract: The present invention provides a traveling road boundary estimation apparatus that is capable of estimating the position and shape of a traveling road boundary highly reliably, and a traveling assistance system.

Abstract: Provided is an image processing device capable of maintaining recognition accuracy for distance, and the like, while meeting conflicting demands such as suppressing the response delay from image input from a camera to calculation result output, enhancing recognition accuracy, reducing calculation load (enhancing processing efficiency), and enhancing response speed. The time of the starting of the processing (S105) of a first distance calculation unit (105) for calculating the relative distance to an object on the basis of current position information determined on the basis of a left or right image and past position information for the object is set to an earlier time than the ending of the processing (S107) of an object detection unit (107) for determining current position information for an object on the basis of parallax information obtained from the left and right images and detecting the object.

Abstract: The purpose of the present invention is to provide an object detecting device which is capable of accurately detecting an object even far away, and of shortening processing time. Provided is an object detecting device (100), comprising: a disparity acquisition unit (116) which compares each image of two cameras (112, 113) and computes a disparity for each pixel; a near-far boundary setting unit (118) which, in a single image of one of the two cameras, sets a boundary (Rb) between a near region (R1) which is close to a vehicle (110) and a far region (R2) which is distant from the vehicle (110); a near object detecting unit (119) which detects objects (102, 104) of the near region (R1) on the basis of the disparity; and a far object detecting unit (120) which detects objects (103, 104) of the far region (R2) on the basis of the single image.

Abstract: Provided is an image processing device capable of maintaining recognition accuracy for distance, and the like, while meeting conflicting demands such as suppressing the response delay from image input from a camera to calculation result output, enhancing recognition accuracy, reducing calculation load (enhancing processing efficiency), and enhancing response speed. The time of the starting of the processing (S105) of a first distance calculation unit (105) for calculating the relative distance to an object on the basis of current position information determined on the basis of a left or right image and past position information for the object is set to an earlier time than the ending of the processing (S107) of an object detection unit (107) for determining current position information for an object on the basis of parallax information obtained from the left and right images and detecting the object.

Abstract: An objective of the present invention is to obtain a vehicle-mounted recognition device capable of recognizing an object to be recognized in a shorter processing time than previously possible.

Abstract: Provided is an object detection device that makes it possible to more accurately detect a road surface even when an area that is not the road surface occupies the majority of an image and the gradient of the road surface is large, and to detect an obstacle on a road surface with greater accuracy than in the prior art.

Abstract: Provided are a travel route recognition device and a travel assistance system using the same, which are capable of precisely recognizing the positions of white lines and road boundaries even if, for example, there is a decrease in the accuracy of the detection of both white lines and road boundaries on the travel route. The direction of the travel route is estimated on the basis of the direction of a linear site included in an image obtained by imaging units, and the direction of the boundaries of a surface region included in a distance image comprising three-dimensional distance information generated on the basis of the images obtained by the imaging units or on the basis of distance information detected by the distance detection unit.

Abstract: The purpose of the present invention is to provide an object detecting device which is capable of accurately detecting an object even far away, and of shortening processing time. Provided is an object detecting device (100), comprising: a disparity acquisition unit (116) which compares each image of two cameras (112, 113) and computes a disparity for each pixel; a near-far boundary setting unit (118) which, in a single image of one of the two cameras, sets a boundary (Rb) between a near region (R1) which is close to a vehicle (110) and a far region (R2) which is distant from the vehicle (110); a near object detecting unit (119) which detects objects (102, 104) of the near region (R1) on the basis of the disparity; and a far object detecting unit (120) which detects objects (103, 104) of the far region (R2) on the basis of the single image.

Abstract: In order to provide an object sensing device whereby, among limited computation resources, performance is improved in sensing an object when sense processing a plurality of objects to be sensed, an object sensing device includes image capture units which capture images external to a host vehicle, and a processing device which sense processes objects to be sensed from the images which are captured by the image capture units, said processing device further including: a scene analysis unit which analyzes a travel scene of the host vehicle; a process priority change unit which changes a sensing process priority of the object to be sensed on the basis of the travel scene which is analyzed by the scene analysis unit; and an object to be sensed sensing unit which carries out a sensing of the object to be sensed on the basis of the sensing process priority which is changed by the process priority change unit.

Abstract: An objective of the present invention is to obtain a vehicle-mounted recognition device capable of recognizing an object to be recognized in a shorter processing time than previously possible.

Abstract: Provided is an object detection device that makes it possible to more accurately detect a road surface even when an area that is not the road surface occupies the majority of an image and the gradient of the road surface is large, and to detect an obstacle on a road surface with greater accuracy than in the prior art.

Abstract: In order to provide an object sensing device whereby, among limited computation resources, performance is improved in sensing an object when sense processing a plurality of objects to be sensed, an object sensing device includes image capture units which capture images external to a host vehicle, and a processing device which sense processes objects to be sensed from the images which are captured by the image capture units, said processing device further including: a scene analysis unit which analyzes a travel scene of the host vehicle; a process priority change unit which changes a sensing process priority of the object to be sensed on the basis of the travel scene which is analyzed by the scene analysis unit; and an object to be sensed sensing unit which carries out a sensing of the object to be sensed on the basis of the sensing process priority which is changed by the process priority change unit.

Abstract: To provide a stereo image processing device and a stereo image processing method that can suppress a decrease in the determination accuracy of parallax for an identical object due to mixture of noise and the like, the device includes a pair of imaging units 101a, 101b; a similarity calculation unit 106b that calculates similarity for each parallax for the pair of images; a parallax calculation unit 106c that calculates parallax for an identical object on the basis of the similarity for each parallax; a parallax data buffer unit 105 that stores data on the parallax; a speed detection unit 107 that detects a moving speed of the pair of imaging units 101a, 101b; and a parallax prediction unit 106a that calculates a predicted parallax value on the basis of the moving speed and past data on parallax stored in the parallax data buffer unit 105. The parallax calculation unit 106 calculates parallax for an identical object on the basis of the similarity for each parallax and the predicted parallax value.

Abstract: To obtain an image processing device and a method of processing an image that improve distance accuracy and is capable of performing accurate distance even about an object at a greater distance than before, when a distance to an object is measured, one image object region 302 including an image of an object is extracted from one image of a pair of images imaged by a pair of imaging elements at the same time in the same direction. The degree of background that is likelihood of whether either an object image configuration part 304 or a background image configuration part 303 is calculated for each of a plurality of image configuration parts that configures the one image object region 302. Then, the other image object region 503 having an image similar to the one image object region 302 is extracted from the other image 501 using the degree of background, and a parallax between the one image object region 302 and the other image object region 503 is calculated.

Abstract: To obtain an image processing device and a method of processing an image that improve distance accuracy and is capable of performing accurate distance even about an object at a greater distance than before, when a distance to an object is measured, one image object region 302 including an image of an object is extracted from one image of a pair of images imaged by a pair of imaging elements at the same time in the same direction. The degree of background that is likelihood of whether either an object image configuration part 304 or a background image configuration part 303 is calculated for each of a plurality of image configuration parts that configures the one image object region 302. Then, the other image object region 503 having an image similar to the one image object region 302 is extracted from the other image 501 using the degree of background, and a parallax between the one image object region 302 and the other image object region 503 is calculated.