Abstract: A dual-frequency CW processing unit (12) calculates an observation-point orientation of an observation point. An FMCW processing unit (11) calculates at least a power spectrum of a beat signal, which has been generated based on radar waves that have come from the calculated observation-point orientation, in terms of an up-modulation time interval and a down-modulation time interval (termed orientation power spectrum hereinafter). The FMCW processing unit (11) shifts the orientation power spectra of the up- and down-modulation time intervals to positive and negative directions, respectively, by an amount corresponding to a Doppler shift frequency. The FMCW processing unit (11) calculates a differential power spectrum by differentiating the orientation power spectra of the shifted up- and down-modulation time intervals, and detects a peak frequency where intensity is maximum.

Abstract: An estimation device includes an information acquisition unit, a detection determination unit, a direction determination unit, and a direction estimation unit. When an object is a first-time detected object, the direction determination unit determines whether a relative direction acquired by the information acquisition unit is a direction toward an own vehicle. When the relative direction acquired by the information acquisition unit is a direction toward the own vehicle, the direction estimation unit estimates that a direction predetermined according to an object position acquired by the information acquisition unit is the movement direction of the object.

Abstract: The driving support system detects an object existing around an own vehicle. The driving support system 1 predicts a position of a movement destination of the detected object. The driving support system sets a region having a predetermined width at each of an X coordinate and a Y coordinate as a tracking region to be set for tracking the object, based on an XY coordinate of the position of the predicted movement destination of the object. The driving support system limits the tracking region, based on a tracking exclusion region where objects unsuitable as tracking targets may be detected with high probability. At that time, the driving support system limits the tracking region by excluding the tracking exclusion region from the tracking region.

Abstract: In a lane boundary line recognition device, a calculation section calculates a degree of uncertainty which affects a correct recognition of white lines on a roadway of a vehicle. A learning section updates a learning value of the degree of uncertainty. A recognition suppression section suppresses execution of a recognition process of recognizing white lines on the roadway when the updated learning value is more than a threshold value. An environment change judgment section judges whether or not a road environment has changed. A learning resetting section resets the learning value of the degree of uncertainty to a previous learning value when the detection result of the environment change judgment section indicates an occurrence of change of the road environment.

Abstract: A lane boundary line recognition apparatus, mounted to an own vehicle, images a road surface ahead of the own vehicle and acquires an image. Edge points are extracted from the image. A lane boundary line candidate is extracted based the edge points. A lane boundary line probability of the lane boundary line candidate is calculated. A lane boundary line candidate of which the lane boundary line probability exceeds a predetermined threshold is recognized as a lane boundary line. A solid object is recognized in an image. A lane boundary line being hidden by the solid object is detected. When a lane boundary line being hidden is detected, the lane boundary line probability is suppressed in at least a part of an area outside of the hidden lane boundary line, compared to that when the lane boundary line being hidden is not detected.

Abstract: In a lane boundary line recognition device, a calculation section calculates a degree of uncertainty which affects a correct recognition of white lines on a roadway of a vehicle. A learning section updates a learning value of the degree of uncertainty. A recognition suppression section suppresses execution of a recognition process of recognizing white lines on the roadway when the updated learning value is more than a threshold value. An environment change judgment section judges whether or not a road environment has changed. A learning resetting section resets the learning value of the degree of uncertainty to a previous learning value when the detection result of the environment change judgment section indicates an occurrence of change of the road environment.