Abstract:
An object tracking device according to one aspect of the present disclosure includes a detection unit, a prediction unit, a first region setting unit, an estimation unit, a registration unit, a prohibition region setting unit, and a registration prohibition unit. The registration prohibition unit prohibits observed values of at least one observed value detected by the detection unit and that are within a prohibition region set by the prohibition region setting unit from being registered as new targets by the registration unit.
Abstract:
A driving support apparatus supports driving of the vehicle. The driving support apparatus includes a brake pedal detection unit, a retraction speed calculation unit and a driving operation device setting unit. The brake pedal detection unit detects an operation amount of the brake pedal. The retraction speed calculation unit calculates a retraction speed of the brake pedal, based on the operation amount of the brake pedal detected by the brake pedal detection unit. The driving operation device setting unit sets a reaction force exerted by a driving operation device to a larger value as the retraction speed calculated by the retraction speed calculation unit becomes higher.
Abstract:
An image output device outputs a periphery image of a vehicle to a display; acquires a capture image of the periphery; acquires detection information of the periphery; determines an accuracy factor of detection of each object; calculates a position of the object in the capture image; determines whether objects overlap with each other in the capture image; and sets an image transmission region to at least a part of a region displaying a first object disposed on a near side among the objects determined to overlap with each other in the capture image, generates the periphery image for visually confirming a second object disposed on a far side of the first object, and changes a transmittance defined in the image transmission region higher as the accuracy factor of the detection of the second object is higher.
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:
An object tracking apparatus acquires detection information from a sensor mounted to a moving body, detects an object, and calculates a distance, a relative velocity, and an orientation thereof. For the initially detected object, the apparatus calculates aliased velocities of which aliasing from the relative velocity is assumed, and generates target candidates corresponding to the aliased velocities. For each target candidate, the apparatus estimates a current state of the target candidate from a past state thereof and observation information, and selects the target candidate estimated to be a true target from the target candidates for the same object. The apparatus calculates, as a reference velocity, an aliased velocity of the relative velocity that is equal to or greater than a velocity lower-limit value and is most negative or smallest in magnitude. The apparatus calculates the aliased velocities being the reference velocity aliased 0 to n times in a positive direction.
Abstract:
A vehicle radar system includes at least one radar, a detection section, an extraction section, a pair determination section, and a target position determination section. The extraction section extracts at least one observation point pair from a plurality of detected observation points. The observation point pair is a pair of the observation points located in the same direction. The target position determination section calculates a surface direction of a reflection surface from a reflection surface observation point of the observation point pair and observation points around the reflection surface observation point, and determines a position of the target from the calculated surface direction and the at least one observation point pair.
Abstract:
The radar device is provided with a transmission array antenna, phase shifters, a reception array antenna, a transmission control unit and a signal processing unit. The transmission control unit transmits transmission waves in either a directivity control mode or a MIMO mode. The directivity control mode controls directivity of the transmission array antenna by controlling the phase shifters. The MIMO mode transmits transmission waves so as not to interfere with each other from the selected at least two transmission antenna elements.
Abstract:
An in-vehicle radar device includes a transmission section, a reception section, an analysis section, an extraction section, a speed calculation section, a distance calculation section, and a folding detection section. The folding detection section detects occurrence of erroneous calculation of a distance, when reflection intensity at a frequency peak obtained by the extraction section is smaller than a preset intensity threshold for a distance calculated by the distance calculation section and a frequency width in a frequency spectrum calculated by the analysis section is smaller than a preset width threshold.
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:
An object tracking apparatus generates a plurality of target candidates in which ambiguity in velocity is assumed for an object detected for a first time, calculates a current prediction value of a state quantity of each target candidate from a past estimation value of the state quantity of each target candidate, using one filter among a plurality of filters, and calculates the current estimation value of the state quantity of the target candidate from each of the calculated prediction values and a current observation value that matches each prediction value. The object tracking apparatus deletes the target candidate of which a determined likelihood is less than a preset threshold among the target candidates, and switches a used filter to a filter that has a larger number of state variables among the filters, in response to the target candidate being deleted and the total number of target candidates decreasing.