Abstract: An information processing device includes an acquisition unit that acquires an image indicating a board including a name of the board and an inspection target and a position table as information indicating a correspondence relationship among the name of the board, a position of the inspection target, and a name of the inspection target, a detection unit that detects the board based on the image, detects the name of the board in an image region indicating the board, and detects the position of the inspection target based on the image region indicating the board, and an association unit that associates the board and the inspection target with each other based on the name of the board, the position of the inspection target, and the position table.

Abstract: An object recognition unit (200) recognizes an object existing around a moving body (100). A surrounding situation estimation unit (204) analyzes at least any of a position and behavior of the object recognized by the object recognition unit (200), and derives as a latent event, an event which is likely to surface later and is attributed to an object that the object recognition unit (200) has not been able to recognize to exist around the moving body (100).

Abstract: To provide an other vehicle behavior prediction apparatus, an other vehicle behavior prediction method, and an automatic driving system which can determine the presence absence of the lane change of the other vehicle with good accuracy, regardless of the change of road shape. An other vehicle behavior prediction apparatus, including: a periphery detector that detects other vehicle which exists around an own vehicle; a road shape detector that detects a road shape where the other vehicle is located; and a lane change predictor that predicts presence or absence of a lane change of the other vehicle based on a detection result of the other vehicle, and changes a determination value which is used when predicting the presence or absence of the lane change of the other vehicle, based on the road shape where the other vehicle is located.

Abstract: A course prediction device (1) includes a blind spot calculation unit (11) and a prediction unit (12). The blind spot calculation unit (11) acquires a sensing result sequentially from a sensor which is arranged in a mobile object and which detects whether an object exists, and calculates, based on sensor information, a blind spot area expressing such an area that an object existing therein cannot be detected by the sensor. The blind spot calculation unit (11) also detects an object entering the blind spot area based on the sensor information. The prediction unit (12) predicts a course in the blind spot area of the detected object based on the sensing result.

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: A failure detection apparatus (10) acquires, as target data, sensor data output in a past reference period by a sensor (31), such as a millimeter wave radar or LiDAR (Light Detection And Ranging), mounted on a moving body (100). The failure detection apparatus (10) determines whether detected data indicating a characteristic of a detected object indicated by normal data, which is sensor data output when the sensor (31) is normal, is included in the acquired detected data in the past reference period. In this way, the failure detection apparatus (10) determines whether a failure has occurred in the sensor (31).

Abstract: Provided are a representative point extraction circuitry that extracts a representative reflection point of a target a line segment setting circuitry that sets a plurality of detection line segments of the same length that extend from the representative reflection point and are arranged within the irradiation field at intervals about the representative reflection point as a center, a reflection point counter that counts a coordinate point indicating a reflection level higher than a second threshold value as a reflection point by using the second threshold value, and a reflection point determinator that determines a reflection point counted in the detection line segments to a top second place in which the number of reflection points is large, as a reflection point from the target.

Abstract: To provide an other vehicle behavior prediction apparatus, an other vehicle behavior prediction method, and an automatic driving system which can determine the presence absence of the lane change of the other vehicle with good accuracy, regardless of the change of road shape. An other vehicle behavior prediction apparatus, including: a periphery detector that detects other vehicle which exists around an own vehicle; a road shape detector that detects a road shape where the other vehicle is located; and a lane change predictor that predicts presence or absence of a lane change of the other vehicle based on a detection result of the other vehicle, and changes a determination value which is used when predicting the presence or absence of the lane change of the other vehicle, based on the road shape where the other vehicle is located.

Abstract: A plurality of target reflection levels detected by a plurality of object detection apparatuses mounted to a vehicle are received, and a difference between target reflection levels of two or more targets detected as the same target or the same type of target is calculated. When this difference exceeds a range of values determined in advance, a control apparatus determines that any of the plurality of object detection apparatuses has an abnormality. Accordingly, occurrence of an abnormality in the object detection apparatus can be determined less erroneously than before, without causing statistical processing to be complicated.

Abstract: A detected data acquisition unit (21) acquires detected data outputted during a past reference period by a sensor (31) mounted on a moving body (100). A peripheral data acquisition unit (22) acquires peripheral data detected by a peripheral body existing on peripheral of the moving body (100). A failure determination unit (23) determines whether or not there is a failure in the sensor (31) based on whether or not the detected data includes detected data that identifies a detected content of which difference from a peripheral content identified from the peripheral data is within a reference scope.

Abstract: A support image display apparatus displays a support image that points out an object included in a landscape observed from a viewpoint position of a moving body so as to be superimposed on the landscape. An image generation section generates a support image that points out a reference position of the object. A display control section changes, when a complexity of the landscape in a surrounding of the object is high, a display position of the support image generated by the image generation section to a region with a low complexity, and thereafter displays the support image so as to be superimposed on the landscape.

Abstract: A course prediction device (1) includes a blind spot calculation unit (11) and a prediction unit (12). The blind spot calculation unit (11) acquires a sensing result sequentially from a sensor which is arranged in a mobile object and which detects whether an object exists, and calculates, based on sensor information, a blind spot area expressing such an area that an object existing therein cannot be detected by the sensor. The blind spot calculation unit (11) also detects an object entering the blind spot area based on the sensor information. The prediction unit (12) predicts a course in the blind spot area of the detected object based on the sensing result.

Abstract: A failure detection apparatus (10) acquires, as target data, sensor data output in a past reference period by a sensor (31), such as a millimeter wave radar or LiDAR (Light Detection And Ranging), mounted on a moving body (100). The failure detection apparatus (10) determines whether detected data indicating a characteristic of a detected object indicated by normal data, which is sensor data output when the sensor (31) is normal, is included in the acquired detected data in the past reference period. In this way, the failure detection apparatus (10) determines whether a failure has occurred in the sensor (31).

Abstract: An information processing device is mounted on a movable body. A calculation unit acquires sensor data in which detection points are indicated, the detection points being acquired by scanning a periphery of a sensor by the sensor, the sensor being located at the periphery of the movable body, analyzes the acquired sensor data, and calculates a distribution range of the detection points. Based on the distribution range of the detection points calculated by the calculation unit, a removal unit extracts a detection point for the movable body from among the detection points indicated in the sensor data, and removes the extracted detection point for the movable body from the sensor data.

Abstract: An object recognition unit (200) recognizes an object existing around a moving body (100). A surrounding situation estimation unit (204) analyzes at least any of a position and behavior of the object recognized by the object recognition unit (200), and derives as a latent event, an event which is likely to surface later and is attributed to an object that the object recognition unit (200) has not been able to recognize to exist around the moving body (100).

Abstract: A detected data acquisition unit (21) acquires detected data outputted during a past reference period by a sensor (31) mounted on a moving body (100). A peripheral data acquisition unit (22) acquires peripheral data detected by a peripheral body existing on peripheral of the moving body (100). A failure determination unit (23) determines whether or not there is a failure in the sensor (31) based on whether or not the detected data includes detected data that identifies a detected content of which difference from a peripheral content identified from the peripheral data is within a reference scope.

Abstract: A driving support apparatus (10) converts at least one of a first map (43) and a second map (53) so that the first map (43) and the second map (53) become three-dimensional maps in a same coordinate system. The first map (43) is a three-dimensional map indicating three-dimensional positions of objects around a vehicle (100). The second map (53) is a three-dimensional map indicating three-dimensional positions of objects around an external apparatus (200) that is one of a roadside apparatus (201) and a different vehicle (202) from the vehicle (100). Then, the driving support apparatus (10) synthesizes the first map (43) and the second map (53) after the conversion, thereby generating a composite map (44).

Abstract: A driving-support-image generation device of the present invention includes: a driving-support-image memory that stores a plurality of driving-support images each indicative of a message content of a messaging object posted on a road or around a road; and an image generator that selects from among the driving-support images stored in the driving-support-image memory, one or plural driving-support images on the basis of a pre-set order of priority, and generates using the thus-selected driving-support images, an image to be displayed on a display in a vehicle.

Abstract: A driver assistance system according to the present invention has an other-vehicle information acquisition unit that acquires travel direction information of an other-vehicle; a storage unit in which a spot where the visibility of a driver in a vehicle is reduced and information on a direction, associated with the spot, in which the visibility of the driver of the vehicle is reduced are stored in association with each other; a visibility determination unit that determines whether or not the visibility of a driver in the other-vehicle is reduced on the basis of the travel direction information acquired by the other-vehicle information acquisition unit and the information on the direction in which the visibility is reduced stored in the storage unit; and a warning processing unit that warns a driver of an own-vehicle that the visibility of the driver in the other-vehicle is reduced if the visibility determination unit determines that the visibility of the driver in the other-vehicle is reduced.

Abstract: An image generation unit generates a support image indicating a reference position of an object. A visibility determination unit determines whether or not a reference range based on the reference position can be visually recognized from a moving body. If it has been determined that the reference range can be visually recognized, a display control unit causes the support image to be displayed, such that the support image without alteration is superimposed on a landscape around the moving body. If it has been determined that the reference range cannot be visually recognized, the display control unit alters the support image, and then causes the altered support image to be displayed, such that the altered support image is superimposed on the landscape around the moving body.