Abstract: A parking assistance system is mounted in a vehicle, and has an image pick-up with a single camera, an image processing device, a display, a steering angle sensor, a wheel speed sensor, and a pulse counter. An A/D converter subjects two analog images picked up by the image pick-up at different locations to A/D conversion, and sends the results to frame memories. A CPU uses the digital image data and the transition data of the vehicle to calculate object data and a distance from the vehicle to the 3D object. An image thus obtained is then converted into a view from the above. The view from the above is stored in a frame memory, and outputted to the display under the control of a controller for display.

Abstract: In a rendering device Urnd1, a processor 1 derives an estimated path to be traced by a left- and right-rear wheels of a vehicle based on a rudder angle &thgr; provided by a rudder angle sensor 5. The processor 1 then determines positions for overlaying indicators on the derived estimated path. The processor 1 then renders the indicators on thus determined points in a captured image provided by an image capture device, and generates a display image. Here, in the display image, the indicators move along the estimated path in the heading direction of the vehicle. In this manner, the estimated path in the display image generated by the rendering device Urnd1 becomes noticeable for a driver of the vehicle.

Abstract: In a rendering device Urnd, a CPU generates a lower viewpoint image based on captured images captured by image capture devices both securely mounted to a vehicle. Here, the lower viewpoint image shows a region rear of the vehicle viewed from those image capture devices. Then, the CPU executes viewpoint conversion processing onto the captured images, and generates an upper viewpoint image. Here, the upper viewpoint image shows also the region rear of the vehicle but viewed from a camera virtually placed above the vehicle. The CPU then stitches the upper and lower viewpoint images together to generate a drive assistant image. In such manner, the drive assistant image generated by the rendering device Urnd becomes informative enough for a driver of the vehicle.

Abstract: In a rendering device 10, ROM 4 stores a vehicle model. A rudder angle sensor 3 detects a rudder angle of the vehicle, and based thereon, CPU 6 calculates an estimated path for the vehicle. The CPU 6 receives captured images from cameras 21 to 2N. The CPU 6 generates a display image based on those captured images, the estimated path, and the vehicle model. This display image includes the vehicle model arranged on the estimated path, and displayed on a display device 8 placed in the vehicle. In this manner, the display image generated by the rendering device 10 is indicative and helpful for a driver of the vehicle to exactly figure out a parking space available for the vehicle.

Abstract: An apparatus and method for correctly determining the position of a vehicle in a traffic lane by obtaining correct information about the position of the traffic lane without being affected by variations in the road surface, weather, time of day, or such imaging conditions as fixed or moving lighting, are provided. An edge signal or a high spatial frequency component and a luminance signal of a low spatial frequency component of a digital image signal representing the view of the local area to the front of a vehicle are extracted. A road contour signal is then extracted from the edge signal, and a road region signal is extracted from the luminance signal. The position of the lane Sre is then detected with high precision by evaluating the lane contour Sre based on the road region signal Srr and lane contour data Sre.

Abstract: A vehicle position calculation unit (1) calculates a position of a vehicle on a plan view, and an estimate locus calculation unit (2) calculates an estimate movement locus of a vehicle body when the vehicle is moved at a maximum steering angle with respect to the vehicle position, and a display unit (3) displays the vehicle position calculated by the vehicle position calculation unit (1) together with the estimate locus of the vehicle body calculated by the estimate locus calculation unit (2). Thus, even a beginner driver of the vehicle can easily and quickly park the vehicle with accuracy and safety while monitoring the estimate movement locus of the vehicle on the display screen.

Abstract: In a rendering device Urnd1, a CPU 7 receives a captured image each from two image capture devices 1 and 2. The CPU 7 then receives a rudder angle of a steering wheel of a vehicle from a rudder angle sensor 3. Based on the rudder angle, the CPU 7 derives an estimated trajectory for the vehicle to take in the course of time. Then, with reference to the estimated trajectory, the CPU 7 selects several pixels each from the captured images, and then generates a drive assistant image based on those pixels. In this manner, the drive assistant image generated by the rendering device Urnd1 hardly causes the driver to feel strange.

Abstract: In a rendering device Urnd1, a processor 1 receives surrounding images S1 to S8 from image capture devices 5 to 12 placed in a vehicle, and based thereon, generates a vehicle overlaid image. The processor 1 also receives a rudder angle &thgr; from a rudder angle sensor 13 placed in the vehicle. Then, based on the received rudder angle &thgr;, the processor 1 calculates a 3D predictive trajectory of the vehicle, and on the vehicle overlaid image, renders thus calculated 3D predictive trajectories that a display image is generated. Therefore, the display image generated by the rendering device Urnd1 is driver-friendly.

Abstract: In a rendering device Urnd1, a processor 1 receives a front-left image Sfl and a front-right image Sfr at regular intervals, and therefrom, cuts out a partial front-left image and a partial front-right image for overlay onto a mask image. The processor 1 then overlays, with a predetermined timing, any one of vehicle model images varying in size onto the mask image. Here, the vehicle model image is overlaid in such manner as to create a moving picture as if the vehicle model image is moving forward. With such vehicle model image, a driver of a vehicle can instantaneously recognize that a drive assistant device is now showing the front side of the vehicle.

Abstract: The imaging apparatus of this invention includes: a lens, a half mirror, and a first CCD arranged along a same optical axis; and a second CCD arranged on an axis of light reflected from the half mirror, wherein one of the first and second CCDs outputs a normal image of an input image input via the lens while the other CCD outputs an Inverted image of the input image.

Abstract: An apparatus and method for correctly determining the position of a vehicle in a traffic lane by obtaining correct information about the position of the traffic lane without being affected by variations in the road surface, weather, time of day, or such imaging conditions as fixed or moving lighting, are provided. An edge signal of a high spatial frequency component and a luminance signal of a low spatial frequency component of a digital image signal representing the view of the local area to the front of a vehicle are extracted. A road contour signal is then extracted from the edge signal, and a road region signal is extracted from the luminance signal. The position of the lane Sre is then detected with high precision by evaluating the lane contour Sre based on the road region signal Srr and lane contour data Sre.

Abstract: A lane detection sensor for detecting opposite lane markers of a road, comprising: an image shooting member for shooting an image of the road ahead of a running motor vehicle; an image data memory for storing data on the image of the road from the image shooting member; a contour point extracting member for extracting, by using the data on the image of the road stored in the image data memory, contour points corresponding to the lane markers of the road; a curve detecting member for calculating polynomial curves by using the contour points corresponding to the lane markers of the road from the contour point extracting member; a Hough transformation limiting member for bounding a region of Hough transformation by using coefficients of the polynomial curves calculated by the curve detecting member; a Hough transformation member for performing Hough transformation by using the polynomial curves from the curve detecting member and the region of Hough transformation bounded by the Hough transformation limiting mem

Abstract: A local positioning device detects a local position of an automobile advancing along a lane formed on a road in a direction. A digital image data indicative of an advancing direction view observed from the automobile in the advancing direction is applied to the local position device. An edge extractor, a threshold generator, and a contour extractor are operable for extracting a contour data indicative of the lane from the image signal. A coordinate convertor converts the contour data into a plane view data indicating the dimensions of extracted contours correctly. A matching operator matches a line or an arc with each of extracted contour. A lane mark contour extractor selectively extracts a pair of extracted contours corresponding to the lane on which the automobile is located.