Abstract: A nitrile-group-containing copolymer rubber, including 15% by weight or more and less than 28% by weight of ?,?-ethylenically unsaturated nitrile monomer units (a), 10 to 50% by weight of ?,?-ethylenically unsaturated monocarboxylic acid ester monomer units (b), 22 to 74% by weight of conjugated diene monomer units (c), and 1 to 10% by weight of carboxyl group-containing monomer units (d) and having an iodine value of 120 or less, wherein the conjugated diene monomer units (c) are at least partially hydrogenated, and the proportion of isoprene units in the conjugated diene monomer units (c) is 5% by weight or more and less than 33% by weight.

Abstract: An autonomous driving system includes a target object position recognition unit configured to recognize a target object position detected by a vehicle-mounted sensor based on map information in a map database, a vehicle position recognition unit configured to recognize a vehicle position, a relative-relationship-on-map acquisition unit configured to acquire a relative-relationship-on-map between the target object and the vehicle based on the target object position and the vehicle position on the map, a detected-relative-relationship acquisition unit configured to acquire a detected-relative-relationship between the target object detected by the sensor and the vehicle based on a result of detection performed by the sensor, a map accuracy evaluation unit configured to evaluate map accuracy of the map information based on the relative-relationship-on-map and the detected-relative-relationship, and an autonomous driving permission unit configured to permit an autonomous driving control using the map information b

Abstract: A radar apparatus includes: a receiving unit including plural receiving antennas including an antenna element, and configured to receive incoming waves whose arrival directions are known; and a calculating unit configured to calculate a correction value for correcting an error component included in a received signal of the incoming waves received by the receiving unit based on the received signal, the correction value being depending on an azimuth of the antenna element.

Abstract: A disclosed binder composition comprises a copolymer which comprises a nitrile group-containing monomer unit, an acidic group-containing monomer unit and a basic group-containing monomer unit, wherein the proportion of the nitrile group-containing monomer unit in the copolymer is 70.0 mol % or more and 99.0 mol % or less, and wherein the total proportion of the acidic group-containing monomer unit and the basic group-containing monomer unit in the copolymer is 0.8 mol % or more and 10.0 mol % or less.

Abstract: A radar apparatus includes: a receiving unit including plural receiving antennas including an antenna element, and configured to receive incoming waves whose arrival directions are known; and a calculating unit configured to calculate a correction value for correcting an error component included in a received signal of the incoming waves received by the receiving unit based on the received signal, the correction value being depending on an azimuth of the antenna element.

Abstract: An autonomous driving system includes a target object position recognition unit configured to recognize a target object position detected by a vehicle-mounted sensor based on map information in a map database, a vehicle position recognition unit configured to recognize a vehicle position, a relative-relationship-on-map acquisition unit configured to acquire a relative-relationship-on-map between the target object and the vehicle based on the target object position and the vehicle position on the map, a detected-relative-relationship acquisition unit configured to acquire a detected-relative-relationship between the target object detected by the sensor and the vehicle based on a result of detection performed by the sensor, a map accuracy evaluation unit configured to evaluate map accuracy of the map information based on the relative-relationship-on-map and the detected-relative-relationship, and an autonomous driving permission unit configured to permit an autonomous driving control using the map information b

Abstract: A disclosed binder composition comprises a copolymer which comprises a nitrile group-containing monomer unit, an acidic group-containing monomer unit and a basic group-containing monomer unit, wherein the proportion of the nitrile group-containing monomer unit in the copolymer is 70.0 mol % or more and 99.0 mol % or less, and wherein the total proportion of the acidic group-containing monomer unit and the basic group-containing monomer unit in the copolymer is 0.8 mol % or more and 10.0 mol % or less.

Abstract: Provided is a road link information updating device including an information acquisition unit configured to acquire speed information on a plurality of communication target vehicles in association with positions of the communication target vehicles, a road link information database configured to store road link information on a plurality of nodes and a road link connecting the nodes to each other, an inflection point position recognition unit configured to recognize an inflection point position in the road link from a change in the vehicle speed or the acceleration, a road link information updating unit configured to update the road link information by using the inflection point position as the node, and a recommended speed setting unit configured to set a recommended speed to the node, on the basis of the speed information and the road link information.

Abstract: A position measurement section of an on-board device measures a position of a vehicle. A travelling position identification section identifies a travelling position of the vehicle on map data based on the measured position of the vehicle and the map data. Then, a position error measurement section computes error information indicating the difference between the measured position of the vehicle and travelling position. Then, a communications section transmits the error information and the position information to a server. A communication section of the server receives the transmitted error information and position information. An error registration section stores the error information in an error database in association with the received position information. Then, for each respective item of position information, a priority level setting section sets a priority level corresponding to the position information based on the error information stored in the error database.

Abstract: An apparatus for detecting a moving object is provided. In the apparels, a moving object, such as a pedestrian, is imaged repeatedly. As a dictionary, image patterns indicative of features of the moving object are stored in a storage in advance. Feature points indicating a position of an object in the images are extracted based on the images. An optical flow of the feature points is calculated based on the features points. The feature points are grouped and a reference rectangle encompassing the grouped feature points is set, based on the optical flow. An identification region encompassing a region showing the moving object is set, the identification region encompassing the reference rectangle. The moving object is identified in the identification region, using the dictionaries. The region of the moving object is specified, based on identified results and an image region having the highest degree of match with the dictionaries.

Abstract: The moving object recognition system includes: a camera that is installed in a vehicle and captures continuous single-view images; a moving object detecting unit that detects a moving object from the images captured by the camera; a relative approach angle estimating unit that estimates the relative approach angle of the moving object detected by the moving object detecting unit with respect to the camera; a collision risk calculating unit that calculates the risk of the moving object colliding with the vehicle, based on the relationship between the relative approach angle and the moving object direction from the camera toward the moving object; and a reporting unit that reports a danger to the driver of the vehicle in accordance with the risk calculated by the collision risk calculating unit.

Abstract: An object detection apparatus includes means for acquiring image data from an in-vehicle imaging device and means for extracting, from the image data acquired by the acquiring means, an object region which is an image region where a preset object exists. Moreover, the extracting means includes means for identifying the object region, means for measuring the processing time of the identifying means and controlling means. The identifying means includes a plurality of identifiers for identifying candidate regions for the object region. The identifiers are serially linked so as to sequentially refine the candidate regions. The controlling means controls, based on the measured processing time at a preset time point, a degree of refining the candidate regions by the identifying means after the preset time point by adjusting at least one of the linkage between the identifiers and processes to be executed by the identifiers after the preset time point.

Abstract: A state transition unit of an object detection apparatus determines which of plural states that information about at least one object lies in based on a predetermined state transition condition each time the information about the at least one object candidate is obtained, the plural states being previously defined based on correlations of the at least one object candidate with the target object. The state transition unit causes the information about the at least one object candidate to transition among the plural states. A determiner determines whether the at least one object candidate is a target object based on transition information, the transition information representing how a state associated with the at least one object candidate has previously transitioned.

Abstract: A position measurement section of an on-board device measures a position of a vehicle. A travelling position identification section identifies a travelling position of the vehicle on map data based on the measured position of the vehicle and the map data. Then, a position error measurement section computes error information indicating the difference between the measured position of the vehicle and travelling position. Then, a communications section transmits the error information and the position information to a server. A communication section of the server receives the transmitted error information and position information. An error registration section stores the error information in an error database in association with the received position information. Then, for each respective item of position information, a priority level setting section sets a priority level corresponding to the position information based on the error information stored in the error database.

Abstract: A radar device includes: a receiving circuit mixing a transmission signal with reception signals; a first detecting unit detecting information on the rotation angle of a vehicle equipped with the radar device, on the basis of an output signal of a yaw rate sensor; a second detecting unit detecting the internal temperature of the radar device on the basis of an output signal from a temperature sensor; a power supply circuit supplying electric power to the receiving circuit and the yaw rate sensor; and a control unit repeatedly setting power supply periods and power supply stop periods of the receiving circuit, in which, in a case where the internal temperature is equal to or lower than a predetermined temperature, the control unit performs control such that the power supply stop periods of the receiving circuit become shorter than those in a case where the internal temperature exceeds the predetermined temperature.

Abstract: An object detection apparatus includes means for acquiring image data from an in-vehicle imaging device and means for extracting, from the image data acquired by the acquiring means, an object region which is an image region where a preset object exists. Moreover, the extracting means includes means for identifying the object region, means for measuring the processing time of the identifying means and controlling means. The identifying means includes a plurality of identifiers for identifying candidate regions for the object region. The identifiers are serially linked so as to sequentially refine the candidate regions. The controlling means controls, based on the measured processing time at a preset time point, a degree of refining the candidate regions by the identifying means after the preset time point by adjusting at least one of the linkage between the identifiers and processes to be executed by the identifiers after the preset time point.

Abstract: In an object detection apparatus, a captured image of a scene around a host vehicle, information indicating a travel state of the host vehicle, and information indicating a surrounding situation around the host vehicle are obtained; risk areas in each of which an object is likely to exist, and area risk degrees of the risk areas are estimated based on the obtained information; posture risk degrees of respective postures are estimated based on a relation between each of the risk areas and the postures of the object assumed to exist in the risk area; a window image is extracted from a search range in the captured image, which corresponds to each of the risk areas, according to descending order of overall risk degrees; and it is identified whether the window image is an image showing the object, by comparing an identification model with the window image.

Abstract: An apparatus for detecting a moving object is provided. In the apparels, a moving object, such as a pedestrian, is imaged repeatedly. As a dictionary, image patterns indicative of features of the moving object are stored in a storage in advance. Feature points indicating a position of an object in the images are extracted based on the images. An optical flow of the feature points is calculated based on the features points. The feature points are grouped and a reference rectangle encompassing the grouped feature points is set, based on the optical flow. An identification region encompassing a region showing the moving object is set, the identification region encompassing the reference rectangle. The moving object is identified in the identification region, using the dictionaries. The region of the moving object is specified, based on identified results and an image region having the highest degree of match with the dictionaries.

Abstract: The moving object recognition system includes: a camera that is installed in a vehicle and captures continuous single-view images; a moving object detecting unit that detects a moving object from the images captured by the camera; a relative approach angle estimating unit that estimates the relative approach angle of the moving object detected by the moving object detecting unit with respect to the camera; a collision risk calculating unit that calculates the risk of the moving object colliding with the vehicle, based on the relationship between the relative approach angle and the moving object direction from the camera toward the moving object; and a reporting unit that reports a danger to the driver of the vehicle in accordance with the risk calculated by the collision risk calculating unit.

Abstract: In an object detection apparatus, a captured image of a scene around a host vehicle, information indicating a travel state of the host vehicle, and information indicating a surrounding situation around the host vehicle are obtained; risk areas in each of which an object is likely to exist, and area risk degrees of the risk areas are estimated based on the obtained information; posture risk degrees of respective postures are estimated based on a relation between each of the risk areas and the postures of the object assumed to exist in the risk area; a window image is extracted from a search range in the captured image, which corresponds to each of the risk areas, according to descending order of overall risk degrees; and it is identified whether the window image is an image showing the object, by comparing an identification model with the window image.