Abstract: Conventionally, a method in which pieces of point group information for use in position matching between a white line position detected by an object detection sensor and a white line position on a map are extracted from the white line positions according to a travel environment, has not been taken into account. In the present disclosure, a point group extraction condition is changed according to change in the travel environment so that: a process of position matching that exhibits robustness with respect to change in the travel environment can be realized; and an own position and a white line position existing at a long distance from an own vehicle can be detected with high accuracy.

Abstract: Host vehicle position measuring accuracy can be improved even in a situation where a position of a feature present around the host vehicle cannot be detected on the basis of sensor information from an in-vehicle sensor. A host vehicle position measuring device is configured to include: a host vehicle position measuring unit that measures a position of a host vehicle using a satellite signal emitted from a satellite positioning system; and a position correcting unit that estimates, using an error estimating model for estimating a position measuring error in the host vehicle position measuring unit, a measuring error corresponding to the position of the host vehicle measured by the host vehicle position measuring unit, and corrects the position of the host vehicle measured by the host vehicle position measuring unit using the measuring error.

Abstract: A camera movement amount acquisition unit (101) acquires as a camera movement amount (110), an estimated movement amount of a vehicle (10) calculated using photographed image data acquired by, a camera (20) installed on the vehicle (10). In synchronization with the acquisition of the camera movement amount (110) by the camera movement amount acquisition unit (101), a LiDAR movement amount acquisition unit (102) acquires as a LiDAR movement amount (120), an estimated movement amount of the vehicle (10) with higher estimation accuracy than estimation accuracy of the camera movement amount (110). A comparison decision unit (103) compares the camera movement amount (110) with the LiDAR movement amount (120), and decides to use the camera movement amount (110) for a calibration operation when a difference between the camera movement amount (110) and the LiDAR movement amount (120) is less than a threshold value.

Abstract: Conventionally, a method in which pieces of point group information for use in position matching between a white line position detected by an object detection sensor and a white line position on a map are extracted from the white line positions according to a travel environment, has not been taken into account. In the present disclosure, a point group extraction condition is changed according to change in the travel environment so that: a process of position matching that exhibits robustness with respect to change in the travel environment can be realized; and an own position and a white line position existing at a long distance from an own vehicle can be detected with high accuracy.

Abstract: To provide an own position estimation apparatus and an own position estimation method which can correct the position coordinate of own vehicle, even if a periphery monitoring apparatus in which detection points detected with good accuracy at the same timing is few is used. An own position estimation apparatus detects relative positions of a road side wall based on detection information of a periphery monitoring apparatus; converts the past relative positions, into relative positions on a basis of the current position of the own vehicle, and superimposes the current relative positions and the past relative positions after conversion; searches for a relative position relation that a coincidence degree between the relative positions of the road side wall after superposition and the positions of the road side wall of the map data becomes high; and corrects the position coordinate of the own vehicle based on the relative position relation.

Abstract: A first image-data acquisition unit (101) acquires a plurality of pieces of image data in which different areas in a facility in which an autonomous driving vehicle conducts autonomous traveling are shown. A priority setting unit (102) analyzes a status shown in each of the plurality of pieces of image data and sets a priority to each image data. A first image-data display unit (103) decides a display mode at a time of displaying the plurality of pieces of image data according to the priority set by the priority setting unit (102).

Abstract: An acquisition unit of a falling object detection apparatus installed and used in a first vehicle acquires a depth image of a second vehicle, on which a load is mounted and which is traveling in front of the first vehicle, and of the area around the second vehicle. A determination unit of the falling object detection apparatus determines whether the load has not made a movement different from that of the second vehicle, using the depth image acquired by the acquisition unit. A detection unit of the falling object detection apparatus detects a fall of the load based on a result of determination by the determination unit.

Abstract: A reception unit receives, with an ultrasonic sensor, received signals including a reflected wave obtained when an acoustic signal emitted from a mobile body is reflected by an object. A disturbance judgment unit judges whether a jamming attack in which a jamming signal is transmitted from outside is being made, on the basis of the received signals. An object detection unit detects an object in surroundings of the mobile body on the basis of the received signals if it is judged that no attack is being made and does not perform object detection if it is judged that an attack is being made.

Abstract: A first image-data acquisition unit (101) acquires a plurality of pieces of image data in which different areas in a facility in which an autonomous driving vehicle conducts autonomous traveling are shown. A priority setting unit (102) analyzes a status shown in each of the plurality of pieces of image data and sets a priority to each image data. A first image-data display unit (103) decides a display mode at a time of displaying the plurality of pieces of image data according to the priority set by the priority setting unit (102).

Abstract: An acquisition unit of a falling object detection apparatus installed and used in a first vehicle acquires a depth image of a second vehicle, on which a load is mounted and which is traveling in front of the first vehicle, and of the area around the second vehicle. A determination unit of the falling object detection apparatus determines whether the load has not made a movement different from that of the second vehicle, using the depth image acquired by the acquisition unit. A detection unit of the falling object detection apparatus detects a fall of the load based on a result of determination by the determination unit.

Abstract: A direction identification unit (21) identifies a traveling direction in which a surrounding vehicle travels in a partial region of a region indicated by image information (42) obtained by photographing using a camera (31). A feature amount acquisition unit (22) acquires a reference feature amount (41) being a feature amount computed from a reference image corresponding to the identified traveling direction. A vehicle determination unit (23) computes an image feature amount being a feature amount of the image information of the partial region and compares the computed image feature amount with the acquired reference feature amount (41), thereby determining whether the surrounding vehicle is present in the partial region.

Abstract: A reception unit receives, with an ultrasonic sensor, received signals including a reflected wave obtained when an acoustic signal emitted from a mobile body is reflected by an object. A disturbance judgment unit judges whether a jamming attack in which a jamming signal is transmitted from outside is being made, on the basis of the received signals. An object detection unit detects an object in surroundings of the mobile body on the basis of the received signals if it is judged that no attack is being made and does not perform object detection if it is judged that an attack is being made.

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: An image display device acquires information of an object around a moving body and determines whether shielding is allowed or not allowed for the object according to whether an acquired importance of the object is higher than a threshold value. The image display device displays image data indicating the object by superimposing it on a scenery around the moving body regardless of a position of the object, with respect to the object for which it is determined that the shielding is not allowed, and determines whether to display the object by superimposing it on the scenery in accordance with the position of the object, with respect to the object for which it is determined that the shielding is allowed.

Abstract: The stereoscopic image display device displaying a stereoscopic image by being placed on a movable object includes: a stereoscopic display panel module which projects images of different parallaxes for each of neighboring spatial regions; a movable object state detecting module which detects state information regarding a position state of the movable object; an observing distance calculation module which calculates a relative distance between the stereoscopic display panel module and a specific observer located on a display surface side thereof based on the state information; a device characteristic data saving module which saves device characteristic data regarding the stereoscopic display panel module; and a display setting adjusting module which adjusts display setting of the stereoscopic image by referring to the relative distance and the device characteristic data.

Abstract: The stereoscopic image display device includes: an observer position measuring unit which measures the observing position of the observer; an image processing unit which calculates the relative position of the observing position of the observer and the stereoscopic display panel, calculates the luminance adjustment amount suited for stereoscopic image display for the relative position, and performs luminance adjustment processing on the image data according to the luminance adjustment amount; and a stereoscopic display panel unit which projects the image data on which the luminance adjustment processing is performed to the right eye and the left eye of the observer via the stereoscopic display panel.

Abstract: A direction identification unit (21) identifies a traveling direction in which a surrounding vehicle travels in a partial region of a region indicated by image information (42) obtained by photographing using a camera (31). A feature amount acquisition unit (22) acquires a reference feature amount (41) being a feature amount computed from a reference image corresponding to the identified traveling direction. A vehicle determination unit (23) computes an image feature amount being a feature amount of the image information of the partial region and compares the computed image feature amount with the acquired reference feature amount (41), thereby determining whether the surrounding vehicle is present in the partial region.

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: Provided is a stereoscopic image display device and the like with which the issues of a CT-image and pseudoscopic view by the 3D crosstalk can be overcome so that a sense of discomfort is not felt by the observer even when the observing position of the observer is shifted without giving a sense of discomfort by a drastic change in the parallax value, in which an image processing unit includes: a relative position calculating unit which calculates a relative position of a stereoscopic display panel with respect to the measured observing position of the observer; a parallax adjustment amount calculating unit which calculates a parallax adjustment amount suited for stereoscopic image display according to the relative position; and a parallax adjustment processing unit which performs parallax adjustment processing on image data according to the parallax adjustment amount.

Abstract: A stereoscopic image display device, with which the influence of a CT-image by the 3D crosstalk is lightened so that a sense of discomfort is not felt by the observer even when the observing position of the observer is shifted, includes an image processing unit including: a relative position calculating unit which calculates a relative position of a stereoscopic display panel with respect to the observing position of the observer; an image filter value calculating unit which calculates an image filter value for adjusting an image blurring amount according to the relative position; and an image filtering processing unit which performs image filtering processing on image data according to the image filter value.