Abstract: A radar device includes a beat signal generation unit, a first signal processing unit, a second signal processing unit, and a speed determination unit. The first signal processing unit observes beat signals by performing a first number of observations during a first observation time and calculates a first speed from a time series of the beat signals of which number is equal to the first number of observations. The second signal processing unit observes the beat signals by performing a second number of observations during a second observation time and calculates a second speed from a time series of the beat signals of which number is equal to the second number of observations. The second observation time is longer than the first observation time. The time ratio is the ratio of the second observation time to the first observation time. The second number of observations is smaller than the first number of observations multiplied by the time ratio.

Abstract: An estimation apparatus of the present disclosure includes a same-object point information acquiring section, a candidate estimating section, and a direction estimating section. The candidate estimating section estimates, as a candidate direction, a direction that is matched with an arbitrary horizontal direction upon determining that the relative speeds gradually decrease along the arbitrary horizontal direction. The candidate estimating section estimates, as the candidate direction, an opposite direction of the arbitrary horizontal direction upon determining that the relative speeds gradually increases along the arbitrary horizontal direction. The direction estimating section estimates a moving direction of the same object based on the candidate direction.

Abstract: A radar system is provided with a plurality of radar units. Each radar unit includes a first processing unit for calculating a distance and a relative speed to an object in the vicinity of each radar unit in accordance with a beat signal, a frequency band of the first modulated waves being a first frequency band, and a modulation period of the first modulated waves being a first modulation period; a second processing unit for calculating a distance to the object in accordance with a beat signal, a frequency band of the second modulated waves being a second frequency band, and a modulation period of the second modulated waves being a second modulation period; and a calculation result determination unit for determining the distance and the relative speed to the object in accordance with calculation results of the first and second processing units.

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: 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.