Abstract:
A method for preventing a vehicle from deviating from a lane is provided, in which precise determinations of whether a vehicle is deviating from a lane may also be made when driving on curved sections of a road. Using DSRC, which is a system enabling communications between a vehicle and roadside equipment, information of road curvature and lane width is received. This road information and setting information of a camera mounted to the vehicle are then used to determine a lane deviation determination standard angle, which is used in curved sections of the road. A difference between the standard angle and a center value of left and right lane marker angles is compared with a critical value to determine whether the vehicle is deviating from the lane.
Abstract:
A system for assisting a lane-keep traveling of a vehicle is comprised of a camera for detecting a view ahead of the vehicle, a vehicle behavior detector including a vehicle speed sensor and a yaw rate sensor, and a controller. The controller is arranged to estimate a road shape on the basis of lane markers detected by the camera, to detect a target yaw rate necessary to return the vehicle at a center of the lane markers, and to determine that there is a possibility that the vehicle deviates from the lane when a difference between the target yaw rate and an actual yaw rate detected by the yaw rate sensor becomes greater than a threshold.
Abstract:
A system for assisting a lane-keep traveling of a vehicle is comprised of a camera for detecting a view ahead of the vehicle, a vehicle behavior detector including a vehicle speed sensor and a yaw rate sensor, and a controller. The controller is arranged to estimate a road shape on the basis of lane markers detected by the camera, to detect a target yaw rate necessary to return the vehicle at a center of the lane markers, and to determine that there is a possibility that the vehicle deviates from the lane when a difference between the target yaw rate and an actual yaw rate detected by the yaw rate sensor becomes greater than a threshold.
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 environment monitoring system for an automotive vehicle is capable of accurately detecting the movement of an object existing in an environment of the vehicle, and determining the possibility of collision between the object and the vehicle, thereby appropriately warning the driver. A relative position of the object to the automotive vehicle is detected from the image obtained by a camera mounted on the vehicle to obtain position data. Positions of the object in a real space are calculated based on a plurality of time series items of the position data detected on the object, and a movement vector of the object is calculated based on the positions in the real space. It is determined based on the movement vector whether or not the object has a high possibility of collision against the automotive vehicle.
Abstract:
A lane image processing system for a vehicle to recognize the lane on which the vehicle travels. The system has a CCD camera mounted on the vehicle for viewing a roadway scene ahead of the vehicle to output image data of the roadway scene including the lane on which the vehicle travels. Obstacles such as preceding vehicle are detected and a region for image data processing is determined so as to avoid the position of the obstacle and the lane on which the vehicle travels is recognized based on the processed result. More specifically, lane boundary positions estimated up to a preceding cycle are stored as historical information and in the region Hough transformation is limited in areas determined based on the historical information and the horizon in the roadway scene.
Abstract:
A vehicle navigation control system has primary prediction error width calculating means for calculating a primary near-distance error width between a forward extending line of the vehicle and a target path at a predetermined near-distance observing location and for calculating a primary far-distance error width between the forward extending line and the target path at a predetermined far-distance observing location. A secondary near-distance error width between a predicted path and the target path at the predetermined near-distance observing location, and a secondary far-distance error width between the predicted path and the target path at the predetermined far-distance observing location, are calculated by a secondary prediction error width calculation means. Steering angle calculating formula selecting means determines whether the target path is a straight path or a curved path with a large curvature, a constantly curved path, or other curved path in accordance with the error widths calculated by the primary and secondary prediction error width calculating means and selects an optimum formula from predetermined model formulas. Steering angle determining means substitutes the corresponding error widths into the selected model formula so as to determine a steering angle.
Abstract:
An apparatus for performing driving aid control to cause a travel trajectory of a mobile object to follow a setpoint trajectory (La) by transmitting a control command value (δ) to a yaw moment controller capable of controlling a yaw moment of the mobile object. In the apparatus, a setpoint trajectory setter is configured to set the setpoint trajectory (La) of the mobile object. A control command value calculator is configured to calculate the control command value (δ) based on an integrated value (δI) of a lateral error that is an error between a position of the mobile object and the setpoint trajectory. The control command value calculator is further configured to decrease the integrated value (δI) with decreasing a curvature (ρ) of a road on which the mobile object is traveling.
Abstract:
A driver assistance system for a vehicle includes a vision system, a sensing system and a control. The vision system includes a camera and the sensing system includes a radar sensor. Image data captured by the camera is provided to the control and is processed by an image processor of the control. Responsive to image processing of captured image data, lane markers on the road being traveled along by the equipped vehicle are detected and the control determines a lane being traveled by the equipped vehicle. Radar data generated by the radar sensor is provided to the control, which receives vehicle data relating to the equipped vehicle via a vehicle bus of the equipped vehicle. Responsive at least in part to processing of generated radar data and captured image data, the control detects another vehicle present on the road being traveled along by the equipped vehicle.
Abstract:
A forward-facing vision system for a vehicle includes a forward-facing camera disposed in a windshield electronics module attached at a windshield of the vehicle and viewing through the windshield. A control includes a processor that, responsive to processing of captured image data, detects taillights of leading vehicles during nighttime conditions and, responsive to processing of captured image data, detects lane markers on a road being traveled by the vehicle. The control, responsive to lane marker detection and a determination that the vehicle is drifting out of a traffic lane, may control a steering system of the vehicle to mitigate such drifting, with the steering system manually controllable by a driver of the vehicle irrespective of control by the control. The processor, based at least in part on detection of lane markers via processing of captured image data, determines curvature of the road being traveled by the vehicle.