Abstract:
An apparatus for recognizing lane partition lines on opposite sides of a traveling lane of a vehicle based on a forward image captured by a camera mounted in the vehicle. In the apparatus, an allowable range limiter is configured to, based on a learned value of a lane width learned by a lane width learner, limit allowable ranges for the respective lane partition lines, where in the allowable ranges the respective lane partition lines are allowed to be detected in the forward image. A lane change determiner is configured to determine whether or not there is a lane change made by the vehicle. The allowable range limiter is further configured to, if it is determined by the lane change determiner that there is a lane change, enlarge at least one of the allowable ranges limited by the allowable range limiter based on the learned value of the lane width.
Abstract:
An apparatus for recognizing lane partition lines on opposite sides of a traveling lane in a processing area of a forward image captured by a camera mounted in a vehicle. In the apparatus, a lane change determiner is configured to determine whether or not there is a lane change made by the vehicle. A processing area changer is configured to, while it is determined by the lane change determiner that there is a lane change, change the processing area from a predefined processing area to a processing area that can accommodate the lane change.
Abstract:
An on-board camera captures an image of a travel lane ahead of an own vehicle. At least one state acquisition apparatus acquires an acquired value indicating a state of the own vehicle. A travel lane marking recognition system recognizes a travel lane marking that demarcates the travel lane from an image captured by the on-board camera. The travel lane marking recognition system sets a reliability level of the recognized travel lane marking based on the acquired value of the at least one state acquisition apparatus. When the reliability level is higher than a first predetermined threshold, the travel lane marking recognition system performs driving control of the own vehicle based on the recognized travel lane marking. When the reliability level is lower than the first predetermined threshold, the travel lane marking recognition system performs a deviation warning of deviation from the travel lane based on the recognized travel lane marking.
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:
In a lane boundary line recognition device, an extraction unit extracts lane boundary line candidates from image acquired by an in-vehicle camera. A position estimation unit estimates a position of each lane boundary line based on drive lane information containing a number of drive lanes on a roadway and a width of each drive lane when (a) and (b) are satisfied, (a) when an own vehicle drives on an own vehicle lane specified by the drive lane specifying unit, and (b) when the lane boundary line candidate corresponds to lane boundary lines of the own vehicle lane. A likelihood calculation unit increases a likelihood of the lane boundary line candidate when a distance between a position of the lane boundary line candidate and an estimated position of the lane boundary line candidate obtained by the drive lane boundary line position estimation unit is within a predetermined range.
Abstract:
A selection track setting section in a driving route generation device determines as a selected track a track of a preceding vehicle when a detection section and a track generation section detects a track of the preceding vehicle which is running on the same driving lane of a host vehicle. A candidate track selection section outputs as a candidate track one of tracks of front vehicles, detected by the detection section and the track generation section, other than the track of the preceding vehicle. A switching selection section switches as the selected track from the track of the preceding vehicle to the candidate track when a detection of the track of the preceding vehicle is interrupted during a predetermined detection period. An estimate route generation section generates an estimated driving route of the host vehicle on the bass of the selected track.
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:
A lane partition line recognition apparatus for recognizing left-side and right-side lane partition lines of a traveling lane of a roadway in which a vehicle carrying the apparatus is traveling based on a forward image captured by a vehicle-mounted camera. The apparatus includes an offset detector configured to detect an offset amount indicative of a positional relationship between each of the left-side and right-side recognized lane partition lines and the vehicle and a predictor configured to, if only one of the left and right lane partition lines of the traveling lane of the subject vehicle is recognized, stochastically predict a position of the unrecognized one of the left and right lane partition lines based on the offset amount detected by the offset detector.
Abstract:
A travel lane marking recognition apparatus includes a recognizing unit that is mounted to a vehicle. The recognizing unit uses a recognition model to recognize a lane marking that demarcates a lane on a road, based on an image of an area ahead of the vehicle captured by an on-board camera. The recognition model is configured by a plurality of recognition models that includes at least two recognition models among a first-order model that takes into consideration a straight line, a second-order model that takes into consideration a steady curve, and a third-order model that takes into consideration a clothoid curve. The recognizing unit is configured to recognize the lane marking by integrating recognition results acquired using the plurality of recognition models based on a state of the vehicle.
Abstract:
A travel lane marking probability calculating unit calculates a travel lane marking probability of each of travel lane marking candidates based on a calculation condition. A travel lane marking recognizing unit recognizes, as a travel lane marking, a travel lane marking candidate having a travel lane marking probability that is a threshold value or higher, among the travel lane marking candidates. A lane change detecting unit detects that an own vehicle is in the midst of a lane change. When the own vehicle is in the midst of a lane change, a condition changing unit changes the calculation condition to allow the travel lane marking probability to be more easily increased compared to when the own vehicle is not in the midst of a lane change, or changes the threshold value to be lower than that when the own vehicle is not in the midst of a lane change.