Abstract: An example of recognition of the shape of a road where a vehicle travels is provided. An object type as to whether an object is a moving or stationary object is determined according to a relative speed of the object and a speed of the vehicle. Object-unit data effective for recognizing a road shape is extracted according to the determination. The object-unit data is used for forming data of a roadside object group, based on which a road edge is recognized. A series of the processes is repeatedly performed at a predetermined cycle. After the extraction process, a data addition process is performed to add object-unit data obtained in the extraction process of the previous cycle to object-unit data obtained in the extraction process of the present cycle. In a recognition process, a road edge is recognized according to the object-unit data obtained in the data addition process.

Abstract: An example of recognition of the shape of a road where a vehicle travels is provided. An object type as to whether an object is a moving or stationary object is determined according to a relative speed of the object and a speed of the vehicle. Object-unit data effective for recognizing a road shape is extracted according to the determination. The object-unit data is used for forming data of a roadside object group, based on which a road edge is recognized. A series of the processes is repeatedly performed at a predetermined cycle. After the extraction process, a data addition process is performed to add object-unit data obtained in the extraction process of the previous cycle to object-unit data obtained in the extraction process of the present cycle. In a recognition process, a road edge is recognized according to the object-unit data obtained in the data addition process.

Abstract: If the maximum time width Lt of the intensity of received light of reflected waves from a vehicle ahead is smaller than a reference time width, it is judged that the vehicle ahead is positioned in proximity to the detection limit distance of an obstacle detection device for vehicle. Thus, there is no problem, for example, even if a cut-in vehicle is present in reality between the vehicle ahead and the vehicle of interest and nevertheless, the distance to the cut-in vehicle cannot be detected. It can be judged whether the vehicle ahead is positioned in proximity to the detection limit distance of the device by judging the magnitude relation between Lt and the reference time width. As a result, the detecting capability of the device can be judged with accuracy.

Abstract: If the maximum time width Lt of the intensity of received light of reflected waves from a vehicle ahead is smaller than a reference time width, it is judged that the vehicle ahead is positioned in proximity to the detection limit distance of an obstacle detection device for vehicle. Thus, there is no problem, for example, even if a cut-in vehicle is present in reality between the vehicle ahead and the vehicle of interest and nevertheless, the distance to the cut-in vehicle cannot be detected. It can be judged whether the vehicle ahead is positioned in proximity to the detection limit distance of the device by judging the magnitude relation between Lt and the reference time width. As a result, the detecting capability of the device can be judged with accuracy.

Abstract: If the maximum time width Lt of the intensity of received light of reflected waves from a vehicle ahead is smaller than a reference time width, it is judged that the vehicle ahead is positioned in proximity to the detection limit distance of an obstacle detection device for vehicle. Thus, there is no problem, for example, even if a cut-in vehicle is present in reality between the vehicle ahead and the vehicle of interest and nevertheless, the distance to the cut-in vehicle cannot be detected. It can be judged whether the vehicle ahead is positioned in proximity to the detection limit distance of the device by judging the magnitude relation between Lt and the reference time width. As a result, the detecting capability of the device can be judged with accuracy.

Abstract: If the maximum time width Lt of the intensity of received light of reflected waves from a vehicle ahead is smaller than a reference time width, it is judged that the vehicle ahead is positioned in proximity to the detection limit distance of an obstacle detection device for vehicle. Thus, there is no problem, for example, even if a cut-in vehicle is present in reality between the vehicle ahead and the vehicle of interest and nevertheless, the distance to the cut-in vehicle cannot be detected. It can be judged whether the vehicle ahead is positioned in proximity to the detection limit distance of the device by judging the magnitude relation between Lt and the reference time width. As a result, the detecting capability of the device can be judged with accuracy.

Abstract: An obstacle recognition system for automotive vehicles is provided which is designed to recognize targets such as preceding vehicles to be tracked by a radar by grouping data elements derived through a scan of a frontal detection range using laser pulses. The system determines the radius of a curve in a road on which a system vehicle is traveling and shifts one of the data elements from which the grouping operation is to be initiated as a function of the radius of the curve, thereby enabling the recognition of the targets without decreasing the control reliability even when the system vehicle is turning the curve.

Abstract: A transmission wave is applied to a predetermined range in a width-wise direction of a vehicle. Objects ahead of the vehicle are recognized on the basis of reflected waves resulting from reflections of the transmission wave. Calculation is made as to a position of each of the objects and also a lane-sameness probability for each of the objects that the object and the subject vehicle are on a same lane. Object information pieces corresponding to the respective objects represent the calculated positions of the objects and the calculated lane-sameness probabilities for the objects. In cases where at least two objects become substantially equal in position, the two objects are recognized as a single object. One is selected from the two objects which relates to a calculated lane-sameness probability equal to or higher than a predetermined value. The single object takes over an object information piece corresponding to the selected object.

Abstract: An obstacle recognition system for automotive vehicles is provided which is designed to recognize targets such as preceding vehicles to be tracked by a radar by grouping data elements derived through a scan of a frontal detection range using laser pulses. The system determines the radius of a curve in a road on which a system vehicle is traveling and shifts one of the data elements from which the grouping operation is to be initiated as a function of the radius of the curve, thereby enabling the recognition of the targets without decreasing the control reliability even when the system vehicle is turning the curve.

Abstract: A transmission wave is applied to a predetermined range in a width-wise direction of a vehicle. Objects ahead of the vehicle are recognized on the basis of reflected waves resulting from reflections of the transmission wave. Calculation is made as to a position of each of the objects and also a lane-sameness probability for each of the objects that the object and the subject vehicle are on a same lane. Object information pieces corresponding to the respective objects represent the calculated positions of the objects and the calculated lane-sameness probabilities for the objects. In cases where at least two objects become substantially equal in position, the two objects are recognized as a single object. One is selected from the two objects which relates to a calculated lane-sameness probability equal to or higher than a predetermined value. The single object takes over an object information piece corresponding to the selected object.