Abstract: A group III nitride single crystal substrate comprises: a first main face; and a first back face opposite to the first main face, wherein an absolute value of a radius of curvature of the first main face of the substrate is 10 m or more; an absolute value of a radius of curvature of a crystal lattice plane at a center of the first main face of the substrate is 10 m or more; and a 1/1000 intensity width of an X-ray rocking curve of a low-incidence-angle face at the center of the first main face of the substrate is 1200 arcsec or less.

Abstract: A first light emitting element emits first detecting light toward the outside of a vehicle. A second light emitting element emits second detecting light toward the outside of the vehicle. A first light receiving element outputs a first signal corresponding to an amount of incident light. A second light receiving element outputs a second signal corresponding to an amount of incident light. A processor acquires first data corresponding to the first signal and second data corresponding to the second signal, and exchanges the first data and the second data in a case where the first data is based on the second detecting light and the second data is based on the first detecting light.

Abstract: A sensing system provided in a vehicle capable of running in an autonomous driving mode, includes: a LiDAR unit configured to acquire point group data indicating surrounding environment of the vehicle; and a LiDAR control module configured to identify information associated with a target object existing around the vehicle, based on the point group data acquired from the LiDAR unit. The LiDAR control module is configured to control the LiDAR unit so as to increase a scanning resolution of the LiDAR unit in a first angular area in a detection area of the LiDAR unit, wherein the first angular area is an area where the target object exists.

Abstract: A group III nitride single crystal substrate including a main surface, the main surface including: a center; a periphery; an outer region whose distance from the center is greater than 30% of a first distance, the first distance being a distance from the center to the periphery; and an inner region whose distance from the center is no more than 30% of the first distance, wherein a ratio (vA?vB)/vB is within the range of ±0.1%, wherein vA is a minimum value of peak wave numbers of micro-Raman spectra in the inner region; and vB is an average value of peak wave numbers of micro-Raman spectra in the outer region.

Abstract: A three-dimensional sensor generates multiple items of line data with respect to multiple horizontal lines arranged at different heights. Multiple first neural networks each generate first intermediate data relating to a corresponding item from among the multiple items of line data. Each first intermediate data indicates the probability of matching between the corresponding line data and each of multiple portions of multiple kinds. A combining processing unit receives the multiple items of first intermediate data, and combines the first intermediate data thus received so as to generate at least one item of second intermediate data. A second neural network receives the at least one item of second intermediate data, and generates final data that indicates the probability of matching between the object and each of the multiple kinds.

Abstract: A group III nitride single crystal substrate including a main surface, the main surface including: a center; a periphery; an outer region whose distance from the center is greater than 30% of a first distance, the first distance being a distance from the center to the periphery; and an inner region whose distance from the center is no more than 30% of the first distance, wherein a ratio (?A??B)/?B is within the range of ±0.1%, wherein ?A is a minimum value of peak wave numbers of micro-Raman spectra in the inner region; and ?B is an average value of peak wave numbers of micro-Raman spectra in the outer region.

Abstract: A recognition sensor includes a three-dimensional sensor and a controller. The three-dimensional sensor scans a scan beam in the horizontal direction, and measures the distance up to each of multiple measurement points defined on a scan line. The controller corrects the elevation angle of the three-dimensional sensor such that the height of a correction point, which is selected from among the multiple measurement points, approaches a predetermined value.

Abstract: A sensing system provided in a vehicle capable of running in an autonomous driving mode, includes: a LiDAR unit configured to acquire point group data indicating surrounding environment of the vehicle; and a LiDAR control module configured to identify information associated with a target object existing around the vehicle, based on the point group data acquired from the LiDAR unit. The LiDAR control module is configured to control the LiDAR unit so as to increase a scanning resolution of the LiDAR unit in a first angular area in a detection area of the LiDAR unit, wherein the first angular area is an area where the target object exists.

Abstract: A sensing system provided in a vehicle capable of running in an autonomous driving mode, includes: a LiDAR unit configured to acquire point group data indicating surrounding environment of the vehicle; and a LiDAR control module configured to identify information associated with a target object existing around the vehicle, based on the point group data acquired from the LiDAR unit. The LiDAR control module is configured to control the LiDAR unit so as to increase a scanning resolution of the LiDAR unit in a first angular area in a detection area of the LiDAR unit, wherein the first angular area is an area where the target object exists.

Abstract: A group III nitride single crystal substrate comprises: a first main face; and a first back face opposite to the first main face, wherein an absolute value of a radius of curvature of the first main face of the substrate is 10 m or more; an absolute value of a radius of curvature of a crystal lattice plane at a center of the first main face of the substrate is 10 m or more; and a 1/1000 intensity width of an X-ray rocking curve of a low-incidence-angle face at the center of the first main face of the substrate is 1200 arcsec or less.

Abstract: An apparatus for manufacturing a group III nitride single crystal including: a reaction vessel including a reaction area, wherein in the reaction area, a group III source gas and a nitrogen source gas are reacted such that a group III nitride crystal is grown on a substrate; a susceptor arranged in the reaction area and supporting the substrate; a group III source gas supply nozzle supplying the group III source gas to the reaction area; and a nitrogen source gas supply nozzle supplying the nitrogen source gas to the reaction area, wherein the nitrogen source gas supply nozzle is configured to supply the nitrogen source gas and at least one halogen-based gas selected from the group consisting of a hydrogen halide gas and a halogen gas to the reaction area.

Abstract: A first light emitting element emits first detecting light toward the outside of a vehicle. A second light emitting element emits second detecting light toward the outside of the vehicle. A first light receiving element outputs a first signal corresponding to an amount of incident light. A second light receiving element outputs a second signal corresponding to an amount of incident light. A processor acquires first data corresponding to the first signal and second data corresponding to the second signal, and exchanges the first data and the second data in a case where the first data is based on the second detecting light and the second data is based on the first detecting light.

Abstract: A scanning device includes a motor and a mirror attached to the motor and configured to reflect emitted light of a light source. The scanning device is configured to scan probe light, which is reflected light reflected by the mirror, according to the rotation of the motor. A photosensor detects return light, which is light reflected from a point on an object. A processor detects the distance to the point on the object based on the output of the photosensor. A distance measurement sensor changes the angular resolution according to the distance to the object.

Abstract: An object identification system includes a camera and a processing device. The processing device includes a classifier subjected to machine learning based on the output image of the camera so as to allow it to identify an object. A gating camera divides a field of view in the depth direction into multiple ranges, and captures an image while changing the time difference between light projection and exposure for each range. The classifier is subjected to machine learning using multiple images IMG1 through IMGN generated by the gating camera as the learning data.

Abstract: A vehicular object identification system includes a distance sensor and a processing device. The distance sensor scans a single beam in the horizontal direction so as to measure the distances to points on the surface of an object OBJ. The processing device includes a classifier that is capable of identifying the kind of the object OBJ based on point cloud data PCD that corresponds to the single scan line acquired by the distance sensor. The classifier is implemented based on a learned model generated by machine learning. The machine learning is executed using multiple items of point cloud data that correspond to multiple scan lines acquired by measuring a predetermined object by means of a LiDAR that supports the multiple scan lines in the vertical direction.

Abstract: A three-dimensional sensor generates multiple items of line data with respect to multiple horizontal lines arranged at different heights. Multiple first neural networks each generate first intermediate data relating to a corresponding item from among the multiple items of line data. Each first intermediate data indicates the probability of matching between the corresponding line data and each of multiple portions of multiple kinds. A combining processing unit receives the multiple items of first intermediate data, and combines the first intermediate data thus received so as to generate at least one item of second intermediate data. A second neural network receives the at least one item of second intermediate data, and generates final data that indicates the probability of matching between the object and each of the multiple kinds.

Abstract: A method for producing an AlN single crystal substrate, the method including: i) preparing a first base substrate consisting of a first AlN single crystal; ii) growing a first AlN single crystal layer over a main face of the first base substrate, to obtain a layered body; iii) cutting the first MN single crystal layer of the layered body, to separate the layered body into a second base substrate and a first part of the first AlN single crystal layer, the second base substrate including the first base substrate and a thin film layered thereon, the thin film being a second part of the first AlN single crystal layer; iv) polishing a surface of the thin film, to obtain a third base substrate consisting of a second AlN single crystal; and v) growing a second AlN single crystal layer over the polished surface of the third base substrate.

Abstract: A group III nitride single crystal substrate including a main surface, the main surface including: a center; a periphery; an outer region whose distance from the center is greater than 30% of a first distance, the first distance being a distance from the center to the periphery; and an inner region whose distance from the center is no more than 30% of the first distance, wherein a ratio (?A??B)/?B is within the range of ±0.1%, wherein ?A is a minimum value of peak wave numbers of micro-Raman spectra in the inner region; and ?B is an average value of peak wave numbers of micro-Raman spectra in the outer region.

Abstract: A sensing system provided in a vehicle capable of running in an autonomous driving mode, includes: a LiDAR unit configured to acquire point group data indicating surrounding environment of the vehicle; and a LiDAR control module configured to identify information associated with a target object existing around the vehicle, based on the point group data acquired from the LiDAR unit. The LiDAR control module is configured to control the LiDAR unit so as to increase a scanning resolution of the LiDAR unit in a first angular area in a detection area of the LiDAR unit, wherein the first angular area is an area where the target object exists.

Abstract: A recognition sensor includes a three-dimensional sensor and a controller. The three-dimensional sensor scans a scan beam in the horizontal direction, and measures the distance up to each of multiple measurement points defined on a scan line. The controller corrects the elevation angle of the three-dimensional sensor such that the height of a correction point, which is selected from among the multiple measurement points, approaches a predetermined value.