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 lane boundary line recognition apparatus acquires an image. Based on edge points extracted from the image, a lane boundary line candidate is extracted, and a lane boundary line probability thereof is calculated. A lane boundary line candidate of which the lane boundary line probability exceeds a threshold is recognized. As the threshold, a first threshold, larger than a second threshold in normal mode, is set when a first condition is met and also a second condition is met. The first condition is that a single lane boundary line is recognized on a roadside side of a lane in which the own vehicle is traveling, and a composite lane boundary line is recognized on a side opposite the roadside side. The second condition is that a state in which a lane boundary line cannot be recognized on at least the opposite side continues for a predetermined amount of time.

Abstract: There is provided a service providing apparatus including a determination unit configured to determine a service to be provided for an information processing apparatus based on apparatus-related information acquired from the information processing apparatus, the apparatus-related information including spatial information and function information, the spatial information being related to a space in which a function of the information processing apparatus is extended and being acquired from an external object by the information processing apparatus, the function information indicating the function of the information processing apparatus, and a processing unit configured to execute a process for the service determined to be provided.

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: There is provided an information processing apparatus including an acquisition control unit configured to acquire information on function extension from an external object, the information on the function extension including attribute information indicating a function of a device and connection information relating to a connection to the device, and a function control unit configured to extend a function of the information processing apparatus based on the acquired attribute information, connect to a device corresponding to the extended function based on the acquired connection information, and enable the extended function.

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.

Abstract: A road surface information acquisition apparatus a lane line recognizer configured to, based on a road surface image of a carpool lane forward of a vehicle acquired by a camera, recognize lane lines of the carpool lane. The apparatus further includes a determiner configured to, based on a lane partition line recognized by the lane line recognizer, determine a start point and an end point of the entrance and exit, and a lane-width calculator configured to, based on the lane lines recognized by the lane line recognizer, calculate a lane width of the carpool lane. The apparatus further includes a lane-width corrector configured to, based on determinations made by the determiner, correct the lane width calculated by the lane-width calculator. Based on a broken line as the lane partition line, the determiner determines the start point and the end point of the entrance and exit of the carpool lane.

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: 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: A cruising zone division line recognition apparatus has an image acquisition device that acquires an image including a road surface ahead of a vehicle, and an image recognition device. The image recognition device adds blurring to an area including the road surface in the acquired image and recognizes a cruising zone division line from the image to which blurring has been added. When blurring is added, a cruising zone division line that is an intermittent double line included in a captured image can be made unclear. Therefore, the recognized cruising zone division line can be prevented from becoming a discontinuous, disjointed line.

Abstract: An apparatus for recognizing a lane is provided. The apparatus performs a near-field white line recognition process and calculates road parameters (lane position, lane inclination, lane curvature and lane width) near the vehicle. The road parameters are calculated using the extended Kalman filter. In the calculation, the calculated lane curvature is used as a lane curvature to be included in predicted values. The apparatus outputs the calculated road parameters to a warning/vehicle-control apparatus.

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: This invention is provided with: a camera for capturing the image of a travel path; an edge point extraction unit for extracting edge points on the basis of the brightness of an image captured by the camera; a candidate line extraction unit for extracting, on the basis of the succession of the extracted edge points, a candidate line for a boundary line demarcating the travel path; a frequency calculation unit for calculating, on the basis of edge points belonging to the candidate line extracted by the candidate line extraction unit, the frequency distribution of the edge points for a parameter that specifies the width of the boundary line; a probability generation unit for calculating, on the basis of the frequency distribution calculated by the frequency calculation unit, the distribution for the probability that the candidate line at the parameter is the boundary line; and a boundary line recognition unit for recognizing the boundary line on the basis of the probability distribution calculated by the probab

Abstract: A bending die used in the apparatus for manufacturing the automotive suspension arm to bend a rod-like raw material and produce a bent material includes a lower bending die including a mounting portion for mounting thereon the rod-like raw material and an upper bending die including a pressing portion for vertically pressing the rod-like raw material mounted on the lower bending die. The mounting portion and the pressing portion include a lower die contact portion and an upper die contact portion each formed into a shape along the bent shape of the bent material to come in contact with the bent material. The lower die contact portion includes, in the middle portion thereof, a groove portion formed to have a size which allows a moving means to grip the bent material in non-contact relation with the bent material.

Abstract: A traffic lane marking recognition apparatus includes a candidate detecting unit, a gap detecting unit, and a recognition reducing unit. The candidate detecting unit detects a lane dividing line candidate which is a candidate for a lane dividing line that defines a traffic lane on a road, based on an image of the road captured by an on-board camera that is mounted in a vehicle. The gap detecting unit detects a gap included in the lane dividing line candidate detected by the candidate detecting unit. When the gap is detected by the gap detecting unit, the recognition reducing unit reduces a probability of recognition of the lane dividing line candidate as a lane dividing line to a first probability that is lower than the probability when the gap detecting unit does not detect the gap, in a region from the gap closest to the vehicle towards a direction away from the vehicle.

Abstract: A lane boundary line recognition device detects lane boundary line candidates of a roadway from images captured by an in-vehicle camera, judges that the lane boundary line candidate is a lane boundary line of a branch road, and calculates a curvature of the lane boundary line candidate, and recognizes the lane boundary line based on the calculated curvature. The device removes the lane boundary line candidate, which has been judged as the lane boundary line of the branch road, is removed from a group of the lane boundary line candidates, and calculates the curvature of the lane boundary line candidate based on an estimated rate of change of the curvature. The device uses a past curvature calculated predetermined-number of images before when the lane boundary line candidate is the lane boundary line of the branch road, and resets the estimated rate of change of the curvature to zero.

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: An in-vehicle camera obtains image frames of a scene surrounding an own vehicle on a roadway. An extracting section in a lane boundary line recognition device extracts white line candidates from the image frames. The white line candidates indicate a degree of probability of white lines on an own vehicle lane on the roadway and a white line of a branch road which branches from the roadway. A branch judgment section calculates a likelihood of the white line as the white line of the branch road, and judges whether or not the white line candidate is the white line of the branch road based on the calculated likelihood. The branch judgment section decreases the calculated likelihood when a recognizable distance of the lane boundary line candidate monotonically decreases in a predetermined number of the image frames.