LANE-DIVIDING LINE DETECTION DEVICE

The present invention relates to a lane-dividing line detection device and has an object of detecting a lane-dividing line with high accuracy by accurately extracting characteristic points of the lane-dividing line while responding flexibly to road surface conditions. According to the present invent...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser:	NISHIDA, Makoto, TAKAI, Isamu
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	CALCULATING COMPUTING CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES CONTROLLING COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PERFORMING OPERATIONS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS REGULATING ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT SIGNALLING SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES TRAFFIC CONTROL SYSTEMS TRANSPORTING VEHICLES IN GENERAL VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISEPROVIDED FOR
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Beschreibung
Zusammenfassung:	The present invention relates to a lane-dividing line detection device and has an object of detecting a lane-dividing line with high accuracy by accurately extracting characteristic points of the lane-dividing line while responding flexibly to road surface conditions. According to the present invention, pixel parts where a brightness variation is larger than a predetermined threshold are extracted from an image picked up by a camera that picks up an area ahead of a vehicle as edge points representing the lane-dividing line on a road surface (step 106). Next, candidates for the lane-dividing line drawn on a road are generated based on the extracted edge points (step 108). Then, the predetermined threshold for the brightness variation used to extract the edge points is changed based on the number of the generated candidates for the lane-dividing line (steps 122 through 130). Specifically, if the number of the candidate lines exceeds a predetermined number, the threshold is changed to a high value so as to increase difficulty in extracting the edge points. On the other hand, if the number of the candidate lines does not reach the predetermined number, the threshold is changed to a low value so as to facilitate the extraction of the edge points.