Abstract: An on-board processing device includes: a past map storage unit that stores a past generated map generated in the past; a self-map generation unit that generates a traveling map on the basis of sensor data acquired while traveling; a self-position estimation unit that estimates a self-position by collating the past generated map and the traveling map; and a data selection unit that selects data, to be used by the self-position estimation unit, from the traveling map on the basis of characteristics of data included in the traveling map.

Abstract: An axial deviation of the sensor is corrected.

Abstract: A driving assistance device that recognizes a lane marking around an own vehicle with at least one sensor includes a lane marking detection unit that detects lane marking information from data acquired by the sensor, a lane marking type candidate estimation unit that recognizes a lane marking type from the detected lane marking information and calculates a likelihood of each lane marking type, a lane marking type branch point estimation unit that detects a lane marking type branch point that is a point at which a likelihood of the lane marking type changes with respect to an advancing direction of the own vehicle, and distinguishes regions before and after the lane marking type branch point as a first region and a second region, and a lane marking information integration unit that, in a case where a lane marking of the first region and a lane marking of the second region have the same lane marking type, integrates the lane marking of the first region and the lane marking of the second region into a continuous

Abstract: It is possible to cope with a deviation of a relative position between a headlight and an in-vehicle camera.

Abstract: There are provided a vehicle orientation estimation system and a vehicle orientation estimation method which can accurately estimate an inclination angle of a vehicle without being affected by a traveling place or an environment in a vehicle orientation estimation system and a vehicle orientation estimation method which estimate an orientation of the vehicle using an in-vehicle camera.

Abstract: A vehicle electronic controller includes a peripheral obstacle identification section identifying obstacles near the vehicle, a blind spot region identification section identifying a blind spot region which is not in a detection range of the obstacle identification section, a region determination section which classifies the blind spot region into either a dangerous blind or a safe blind spot region and an obstacle region presumption section which presumes an obstacle presence region which is a region that a latent obstacle which is the latent obstacle which could be present at a previous time in the dangerous blind spot region which was classified at the previous time can be present at a present time, in which the region determination section determines that a region which overlaps with at least the obstacle presence region in the blind spot region that the blind spot region identification section identified is the dangerous blind spot region.

Abstract: Provided is a signal processing device with which, even when detection objects differ among a plurality of sensors, it is possible to correctly obtain the relationship between a non-shared detection object and a detection object that is shared after fusion.

Abstract: An information processing device estimates a road shape of a road on which a host vehicle travels based on map information acquired from a map information unit and sensor information acquired from a sensor unit. The information processing device includes a sensor resolution characteristic management unit which manages a sensor resolution characteristic of the sensor unit, which corresponds to a distance from a host vehicle position of the host vehicle to a position where the intersection shape changes, an appearance prediction unit which predicts an appearance of the road corresponding to the distance based on the sensor resolution characteristic acquired from the sensor resolution characteristic management unit, and a model generation unit which generates a road model obtained by modeling the road based on the appearance of the road predicted by the appearance prediction unit.

Abstract: An arithmetic device includes: an input unit to which information pertaining to a detection target that is a target recognized by a sensor is input from the sensor; a processing-unit allocation unit that is configured to allocate a plurality of the targets to any one of a plurality of groups; an association unit that is configured to retrieve a second one of the targets to be associated with a first one of the targets from a part of the plurality of groups included in the plurality of groups; and a state fusion unit that is configured to fuse the first target and the second target that have been associated with each other by the association unit to produce a tracking target that is a target being tracked. The first target is any one of the detection target and the tracking target. The second target is any one of the detection target and the tracking target.

Abstract: A sensor aiming device includes: a target positional relationship processing unit for outputting positional relationship information of first and second targets; a sensor observation information processing unit configured to convert the observation result of the first and second targets into a predetermined unified coordinate system according to a coordinate conversion parameter, perform time synchronization at a predetermined timing, and extract first target information indicating a position of the first target and second target information indicating a position of the second target; a position estimation unit configured to estimate a position of the second target using the first target information, the second target information, and the positional relationship information; and a sensor correction amount estimation unit configured to calculate a deviation amount of the second sensor using the second target information and an estimated position of the second target and estimate a correction amount.

Abstract: An apparatus and the like for controlling a mobile body that are capable of adjusting a detection result by a radar device in accordance with a three-dimensional shape for each region of a three-dimensional map generated from an image captured by an image-capturing device are provided. A mobile body control unit 105 is an apparatus for controlling the vehicle (mobile body) including an image-capturing device 101 and a millimeter wave radar device 102 (radar device). A three-dimensional map generation unit 203 generates a three-dimensional map around the vehicle from an image captured by the image-capturing device 101. A radar weight map estimation unit 204 (weight estimation unit) estimates the weight of the detection result by the millimeter wave radar device 102 for each region of the three-dimensional map from the three-dimensional shape for each region of the three-dimensional map.

Abstract: It is possible to cope with a deviation of a relative position between a headlight and an in-vehicle camera.

Abstract: To correct an axis deviation of a sensor. An aiming device, which calculates correction amounts of detection results of two or more sensors using the detection results of the sensors, includes: a sensor coordinate conversion unit that converts sensor data detected by the sensor from a coordinate system unique to the sensor into a predetermined unified coordinate system; a target selection unit that selects predetermined features from the sensor data detected by each of the sensors; a function fitting unit that defines functions each approximating an array state of the selected features for the respective sensors; a fitting result comparison unit that compares the functions each approximating the array state of the features detected by each of the sensors; and a correction value calculation unit that calculates a correction amount for converting coordinates of the features detected by the sensors from a result of the comparison of the functions.

Abstract: An axial deviation of the sensor is corrected.

Abstract: A vehicle electronic controller includes a peripheral obstacle identification section identifying obstacles near the vehicle, a blind spot region identification section identifying a blind spot region which is not in a detection range of the obstacle identification section, a region determination section which classifies the blind spot region into either a dangerous blind or a safe blind spot region and an obstacle region presumption section which presumes an obstacle presence region which is a region that a latent obstacle which is the latent obstacle which could be present at a previous time in the dangerous blind spot region which was classified at the previous time can be present at a present time, in which the region determination section determines that a region which overlaps with at least the obstacle presence region in the blind spot region that the blind spot region identification section identified is the dangerous blind spot region.

Abstract: An automatic light system is provided for automatically turning on and off vehicle lights in accordance with the surrounding environment. The system includes an imaging device that images an area in front of the vehicle and generates image data; an image processing unit that generates light mode information on the basis of the brightness in an upper region and lower region of the image data; and a light control unit that controls the lights on the basis of the light mode information. The image processing unit sets a higher weight to a measurement region in the movement direction of the vehicle from among a plurality of measurement regions set in the upper region and a lower weight to the other measurement regions to calculate the brightness in the upper region and generates the light mode information on the basis of the brightness in the upper region.

Abstract: Provided is an object detection system which enables detection of a body of interest without causing any disturbance outside a vehicle even if the body of interest is present in a restricted-illumination area. In accordance with the timing whereby an imaging module captures an image of an object in the restricted-illumination area and on the basis of the result of image processing by an image processing module, an illumination control module controls the start and end of illumination of the restricted-illumination area by an illumination module.

Abstract: An objective of the present invention is to attain automatic light control that detects the brightness of the surroundings using vehicle speed, steering angle, and other relevant information so that said control will not feel unnatural to the driver. Another objective of the present invention is to prevent erroneous operations caused by sudden changes in the environment during vehicle travel or by a preceding vehicle. Provided is an automatic light system for automatically turning on and off the lights of a vehicle in accordance with the surrounding environment, the system including: an imaging device that images an area in front of the vehicle and generates image data; an image processing unit that generates light mode information, with which turning on and off of the lights is controlled, on the basis of the brightness in an upper region and lower region of the image data; and a light control unit that controls the lights on the basis of the light mode information.

Abstract: The present invention provides an image-capturing device capable of fulfilling a complementary role to a vehicle behavior sensor when a failure occurs in the vehicle behavior sensor. The invention is characterized by being provided with: an image acquisition unit for acquiring images of the surroundings of a vehicle; a vehicle behavior inference unit for inferring vehicle behavior information on the basis of the images acquired by the image acquisition unit; a vehicle behavior acquisition unit for acquiring vehicle behavior information which has been detected by a vehicle behavior sensor; and an abnormality detection unit for detecting an abnormality in the vehicle behavior sensor by comparing the behavior information acquired by the vehicle behavior acquisition unit and the behavior information inferred by the vehicle behavior inference unit.

Abstract: Provided is an object detection system which enables detection of a body of interest without causing any disturbance outside a vehicle even if the body of interest is present in a restricted-illumination area. In accordance with the timing whereby an imaging module captures an image of an object in the restricted-illumination area and on the basis of the result of image processing by an image processing module, an illumination control module controls the start and end of illumination of the restricted-illumination area by an illumination module.