Abstract: An electrostatic separation method includes: applying voltage between a lower electrode at a bottom portion of or in the raw material layer and an upper electrode above the raw material layer, generating an electric field between electrodes; fluidizing the raw material layer and bringing conductive particles and the lower electrode into contact in the raw material layer charging only the conductive particles wherein their polarity becomes the same as the lower electrode; generating polarity, the same as the upper electrode, by dielectric polarization on a conveyor belt downward-facing conveyance surface passing through a capture region above the raw material layer and under the upper electrode, the conveyance surface including a nonconductor; separates charged conductive particles from the raw material layer surface by electrostatic force and adhering conductive particles to the conveyor belt conveyance surface; and separating and collecting the particles from the conveyance surface that moved outside the ele

Abstract: An apparatus includes a developer container to and from which a replenishment container is attachable and detachable and which includes an accommodating portion and a replenishment port, a transfer portion configured to transfer a developer image on an image bearing member onto a recording material, a supporting tray including a supporting surface configured to support the recording material thereon, and a discharge portion configured to discharge the recording material, onto which the developer image has been transferred, on the supporting surface, wherein the supporting surface has an opening portion opening such that the replenishment port is exposed through the supporting surface, and wherein an opening/closing member configured to be movable between a closed position where the opening/closing member covers the replenishment port and serves as a part of the supporting surface and an open position where the replenishment port is exposed is provided.

Abstract: An own-vehicle position integration processing apparatus calculates with a prediction circuitry, based on own-vehicle movement information u(m) obtained from an own-vehicle movement information observation device and an observation time point tego(m) thereof and on own-vehicle position information z(n) obtained from a plurality of own-vehicle position observation devices and an observation time point tobs(n) thereof, an own-vehicle position prediction value xpred(n) at the observation time point tobs(n), acquires a previous observation time point tobs(n?1) and an own-vehicle position estimation value xest(n?1) thereat from an updating circuitry, sequentially updates using them the own-vehicle position prediction value xpred(n) at the observation time point tobs(n) per item of own-vehicle position information z(n), and calculates an own-vehicle position xout(n) at a target output time point tout from an own-vehicle position estimation value xest(n). Thereby, a precise own-vehicle position can be estimated.

Abstract: A connector includes a housing body, a lock arm and a sub lock portion. The lock arm and the sub lock portion lock a mating housing to hold the housing body and the mating housing in a connected state. The lock arm is shaped to project from the housing body and be deflectable and deformable. The sub lock portion is arranged at a position facing the lock arm in a deflecting direction of the lock arm in the housing body.

Abstract: A reliability correction device is provided in which a target-matter is detected by means of a camera and/or a radar, and a reliability modification unit included in the device modifies the degree of reliability with respect to target-matter information being detected, on the basis of an irradiation range(s) being an irradiation region(s) of a light(s).

Abstract: An extraction unit (101) extracts as a stationary object-detection point, a detection point on a stationary object among a plurality of detection points around a vehicle (200), the plurality of detection points being detected by an outside-detection sensor (501) at a plurality of detection timings. A grouping unit (105) groups two or more stationary object-detection points deduced as detection points on a same stationary object, among a plurality of stationary object-detection points extracted by the extraction unit (101) at the plurality of detection timings.

Abstract: An object recognition device is configured to: classify, under a state in which not all object data in a detection data group have been received and a part of the object data have been received by a current processing time, the part of the object data into pieces regarded as ready for association determination and pieces not regarded as ready for the association determination, to thereby associate the object data regarded as ready for the association determination and the prediction data individually with each other and set, as pending object data, the object data not regarded as ready for the association determination; and associate, under a state in which the remaining object data in the detection data group have been received by the next processing time after the current processing time, the remaining object data and the pending object data individually with the prediction data.

Abstract: Provided are a lane separation line detection correcting device/method and an automatic driving system for stabilizing the behavior of a vehicle by correcting overestimated curvature information resulting from an erroneous detection of a curvature of a lane separation line. A travel speed detecting circuit detects, for example, a target travel speed as vehicle sensor information. A maximum curvature estimating circuit estimates, based on the target travel speed, a maximum curvature of a road along which an own vehicle is traveling. A curvature correcting circuit corrects a curvature of a lane separation line input thereto based on the maximum curvature. A control unit controls steering of the own vehicle based on the lane separation line having a corrected curvature. As a result, vehicle steering can be automatically controlled so as to prevent the own vehicle while traveling from departing from a driving lane.

Abstract: Provided is a road wall shape estimation device for estimating the shape of a road wall at a long distance from a vehicle, with high accuracy. This road wall shape estimation device includes: a filter processing unit which sets a plurality of filters, and among observation points acquired by an observation data acquisition unit, outputs only observation points whose relative-to-ground velocities are equal to or smaller than a predetermined value and whose positions are inside the filters; a reference point calculation unit which calculates reference points from the output of the filter processing unit; and a road wall estimation unit which estimates the shape of the road wall from the reference points. The filter processing unit increases the width of each filter as the position of the filter becomes farther from an own vehicle.

Abstract: A data using device includes: a data storage part storing pieces of data used for the predetermined process; a user storage part storing a first user identification information; an authentication data acquisition part; a user acquisition part acquiring a second user identification information from the external apparatus; a user determination part; an authentication storage processing part storing the authentication data such that the authentication data is available for the predetermined process when the user determination part determines that the first and second user identification information match each other or when the first user identification information is not stored; a user deletion part deleting or instructing a user to delete the first user identification information when the first and second user identification information do not match each other; and a data use prohibition part prohibiting use of the authentication data when the first user identification information is deleted.

Abstract: There are provided an object recognition apparatus that raises the recognition accuracy for a surrounding object and a vehicle control apparatus, and an object recognition method and a vehicle control method. An object recognition apparatus receives object data, which is a state value of the object, from a first sensor for detecting a surrounding object; compares estimation data obtained through estimation of a state value of the object, based on recognition data calculated in a past period, with the object data, and determines whether or not the object data is data in a low-resolution state; then, in accordance with the determination result, calculates the state value of the object by use of object data and estimation data and then generates the state value as recognition data, so that the recognition accuracy for an object is raised.

Abstract: Provided are a lane separation line detection correcting device/method and an automatic driving system for stabilizing the behavior of a vehicle by correcting overestimated curvature information resulting from an erroneous detection of a curvature of a lane separation line. A travel speed detecting circuit detects, for example, a target travel speed as vehicle sensor information. A maximum curvature estimating circuit estimates, based on the target travel speed, a maximum curvature of a road along which an own vehicle is traveling. A curvature correcting circuit corrects a curvature of a lane separation line input thereto based on the maximum curvature. A control unit controls steering of the own vehicle based on the lane separation line having a corrected curvature. As a result, vehicle steering can be automatically controlled so as to prevent the own vehicle while traveling from departing from a driving lane.

Abstract: Provided are a lane separation line detection correcting device/method and an automatic driving system for stabilizing the behavior of a vehicle by correcting overestimated curvature information resulting from an erroneous detection of a curvature of a lane separation line. A travel speed detecting circuit detects, for example, a target travel speed as vehicle sensor information. A maximum curvature estimating circuit estimates, based on the target travel speed, a maximum curvature of a road along which an own vehicle is traveling. A curvature correcting circuit corrects a curvature of a lane separation line input thereto based on the maximum curvature. A control unit controls steering of the own vehicle based on the lane separation line having a corrected curvature. As a result, vehicle steering can be automatically controlled so as to prevent the own vehicle while traveling from departing from a driving lane.

Abstract: Provided is an object recognition device including a prediction processing unit, a temporary setting unit, and a association processing unit. The prediction processing unit predicts, as a prediction position on an object model obtained by modeling a tracking target, a position of a movement destination of the tracking target based on a trajectory formed by movement of at least one object of a plurality of objects as the tracking target. The temporary setting unit sets, based on specifications of a sensor that has detected the tracking target, a position of at least one candidate point on the object model. The association processing unit sets, based on the position of the candidate point and the prediction position, a reference position on the object model.

Abstract: An extraction unit (101) extracts as a stationary object-detection point, a detection point on a stationary object among a plurality of detection points around a vehicle (200), the plurality of detection points being detected by an outside-detection sensor (501) at a plurality of detection timings. A grouping unit (105) groups two or more stationary object-detection points deduced as detection points on a same stationary object, among a plurality of stationary object-detection points extracted by the extraction unit (101) at the plurality of detection timings.

Abstract: An obstacle recognition device includes: a first sensor and a second sensor, which are configured to detect an object near a vehicle; a calculation unit configured to calculate, based on first detection data on a first object detected by the first sensor and second detection data on a second object detected by the second sensor, an index value for identifying whether the two objects are the same object; a determination unit configured to determine whether the two objects are the same object by comparing the index value with a threshold value set in advance; and a correction unit configured to calculate, when the determination unit has determined that the two objects are the same object, a detection error between the two sensors based on the two detection data, and generate corrected detection data so as to remove the detection error.

Abstract: Provided are a lane separation line detection correcting device/method and an automatic driving system for stabilizing the behavior of a vehicle by correcting overestimated curvature information resulting from an erroneous detection of a curvature of a lane separation line. A travel speed detecting circuit detects, for example, a target travel speed as vehicle sensor information. A maximum curvature estimating circuit estimates, based on the target travel speed, a maximum curvature of a road along which an own vehicle is traveling. A curvature correcting circuit corrects a curvature of a lane separation line input thereto based on the maximum curvature. A control unit controls steering of the own vehicle based on the lane separation line having a corrected curvature. As a result, vehicle steering can be automatically controlled so as to prevent the own vehicle while traveling from departing from a driving lane.

Abstract: A connector includes a housing body, a lock arm and a sub lock portion. The lock arm and the sub lock portion lock a mating housing to hold the housing body and the mating housing in a connected state. The lock arm is shaped to project from the housing body and be deflectable and deformable. The sub lock portion is arranged at a position facing the lock arm in a deflecting direction of the lock arm in the housing body.

Abstract: Provided are a lane separation line detection correcting device/method and an automatic driving system for stabilizing the behavior of a vehicle by correcting overestimated curvature information resulting from an erroneous detection of a curvature of a lane separation line. A travel speed detecting circuit detects, for example, a target travel speed as vehicle sensor information. A maximum curvature estimating circuit estimates, based on the target travel speed, a maximum curvature of a road along which an own vehicle is traveling. A curvature correcting circuit corrects a curvature of a lane separation line input thereto based on the maximum curvature. A control unit controls steering of the own vehicle based on the lane separation line having a corrected curvature. As a result, vehicle steering can be automatically controlled so as to prevent the own vehicle while traveling from departing from a driving lane.

Abstract: There are included an own vehicle position sensor which detects the position of an own vehicle; a reference path acquisition unit which acquires a reference path on which the own vehicle travels; a reference path determination unit which determines whether or not the own vehicle is traveling on the reference path; a temporary vehicle path calculation unit which, when it is determined by the reference path determination unit that the own vehicle is not traveling on the reference path, calculates a temporary vehicle path from at least two points, a travel start point of the own vehicle and an end point of the reference path; and a vehicle path setting unit which sets either the temporary vehicle path calculated by the temporary vehicle path calculation unit or the reference path on which it is determined by the reference path determination unit that the own vehicle is traveling as the vehicle path of the own vehicle.