Abstract:
A method for predicting the dynamics of a vehicle using information about the path on which the vehicle is travelling that has particular application for enhancing active safety performance of the vehicle, to improve driver comfort and to improve vehicle dynamics control. The method includes generating a preview of a path to be followed by the vehicle where the preview of the path is generated based on actual values of a plurality of vehicle parameters. The method further includes obtaining a corrected value of at least one of the plurality of vehicle parameters corresponding to the actual values of each of the plurality of vehicle parameters, wherein the corrected value of the at least one of the vehicle parameters is obtained based on a target path to be followed by the vehicle on the road, and wherein the target path is obtained on the basis of a plurality of road parameters.
Abstract:
A method of discriminating between road markings of at least two colors, comprises: capturing an image of a road and at least one road marking with a monochrome camera having a first color response in a first area of a field of view of the camera and a second color response in the second area of the field of view; and determining the change in intensity of the captured image of the road marking between the first and second areas. Apparatus for discriminating between road markings is also disclosed.
Abstract:
An alert system for a vehicle includes a forward facing camera having a field of view that encompasses the road ahead of and traveled on by the equipped vehicle, and may include a radar detector having a field of view to the side of and rearward of the equipped vehicle as it travels along the road and/or an image-based detector having a field of view to the side of and rearward of the equipped vehicle as it travels along the road. The alert system determines a lane change into a side lane by the equipped vehicle and detects a vehicle in that side lane, and an alert is generated to the driver of the equipped vehicle. The alert may be generated irrespective of the status of a turn signal of the equipped vehicle.
Abstract:
A lane departure prevention system comprises a traveling status detecting unit for detecting current lateral displacement and current yaw angle of a vehicle relative to a lane of travel, a departure detecting unit for detecting whether the vehicle is tending to depart from the lane of travel on the basis of current lateral displacement of the vehicle relative to the lane of travel as detected by the traveling status detecting unit; and a departure avoidance control unit for controlling the vehicle to avoid lane departure when the departure detecting unit detects that the vehicle is tending to depart from the lane of travel. The departure avoidance control unit calculating the extent of control necessary to avoid lane departure on the basis of current yaw angle of the vehicle detected by the traveling status detecting unit. Provision is made for preventing lane departure on a curving as well as a straight road.
Abstract:
A driving lane recognition system which can improve the lane recognition accuracy by stably detecting the various kinds of lane markers is disclosed. An image processing means 6 for image-processing a road image taken by a camera 5 has a plurality of different kinds of image processing algorithms 9 to 11. A driving lane is detected by selecting an image processing algorithm suitable for the driving lane out of the plurality of different kinds of image processing algorithms 9 to 11 corresponding to a road on which a vehicle is running.
Abstract:
An image sequence is inputted 200 from the camera and vertical motion is estimated 202. A windowed horizontal edge projection 204 is extracted from the inputted image sequence 200 and the horizontal edges are projected 206. The horizontal edge projection 206 and the vertical motion estimation 202 are combined in a horizontal segmentation and tracking element 208, and forwarded to an object parameter estimation element 210 where the object's distance and height are estimated. This data is combined in a fusion with radar detection element 212. By correctly matching the overhead objects sensed by the radar and video camera, the proximity and relative speed can be ascertained. Once overhead objects have been identified they can be isolated and not considered for collision avoidance purposes.
Abstract:
A driving assist system for assisting effort by an operator to operate a vehicle in traveling is provided. The driving assist system receives data including information on vehicle state and information on environment in a field around the vehicle. A controller, mounted to the vehicle, determines future environment in the field, makes an operator response plan in response to the determined future environment to determine command, and generates the command. The operator response plan prompts the operator to operating the vehicle in a desired manner for the determined future environment. At least one actuator, mounted to the vehicle, prompts the operator in response to the command to operating the vehicle in the desired manner.
Abstract:
A driving assist system for assisting effort by an operator to operate a vehicle in traveling is provided. The assist system receives data including information on vehicle state and information on environment in a field around the vehicle. A controller, mounted to the vehicle, determines future environment in the field, makes an operator response plan in response to the determined future environment to determine command, and generates the command. The operator response plan prompts the operator to operating the vehicle in a desired manner for the determined future environment. At least one actuator, mounted to the vehicle, prompts the operator in response to the command to operating the vehicle in the desired manner.
Abstract:
A device for detecting rollover includes a stereo camera in the direction of travel. The camera allows the distance to an object outside the vehicle to be measured, and, in each instance, image vectors to this object are calculated. If the vertical component of these image vectors now changes over time, then a rollover event is detected as a function of this change.
Abstract:
A system is disclosed for controlling an object detection system of a land based vehicle, having at least one detection device with a limited geometrical operating area. The system comprises a computing device using information regarding the current or upcoming road situation from an on-board map database as input for computing an attention plan for optimizing the use of the at least one detection device in the object detection system, said attention plan being outputted to the object detection system for control of said detection device. Further, a method is disclosed which relates to controlling an object detection system.