Abstract: In a localization apparatus for a vehicle, a landmark detector detects a landmark from camera information acquired from a camera mounted to the vehicle. An associator associates the landmark with a specific set of radar information by setting an error region in which the landmark may exist, selecting, from a radar observation point cluster formed of a set of radar observation points corresponding to a set of radar information acquired from a radar mounted to the vehicle, a radar observation point cluster formed of a set of radar observation points included in the error region, and associating the landmark with the specific set of radar information corresponding to the selected radar observation point cluster. A positional relationship calculator calculates a positional relationship between the landmark and the vehicle based on the specific set of radar information associated with the landmark.

Abstract: An object detection device includes: a camera ECU that measures the bearing of an object by detecting the object from an image captured by a camera and identifying the direction toward the object; a sonar that measures the distance to the object existing around the vehicle; and a position identification unit that identifies the position of the object by combining the measured bearing data and distance data on a grid map that is based on a polar coordinate system and identifying the grid cell where the object exists on the grid map.

Abstract: In a road information distribution system, a cloud server detects to road location where an abnormality is occurring based on vehicle location information of a plurality of vehicles or vehicle controlling amount of a plurality of vehicles, and transmits an abnormal road location to a vehicle before identifying a cause of the abnormality. The road information distribution system then notifies the abnormal road location to a driver of the vehicle when the vehicle approaches a predetermined distance from the abnormal road location.

Abstract: A route generation device includes: an autonomous route generator configured to generate, based on surrounding information around an own vehicle detected by a vehicle-mounted detector, an expected autonomous route along which the own vehicle is to travel; a map route acquirer configured to acquire an expected map route along which the own vehicle is to travel based on map data; and an integrated route generator configured to generate an integrated route using the autonomous route and the map route.

Abstract: A self-location estimation device includes a landmark detection unit that detects a landmark from camera information, an association unit that associates the landmark detected by the landmark detection unit with a radar information group, a landmark sorting unit that performs sorting of the landmarks detected by the landmark detection unit based on the radar information groups associated with the landmarks by the association unit, and a positional relation calculation unit that calculates a positional relation between an own vehicle and the landmark employed by the landmark sorting unit, based on the radar information group associated with the landmark.

Abstract: In an occupancy grid map generation device for generating an occupancy grid map that indicates, for each of cells of a grid into which a region is divided, an occupancy probability that an object occupies the cell, an occupancy probability updating unit is configured to, based detection result data of an object therearound, successively update the occupancy probability for each of the cells calculated at a previous time to calculate a latest occupancy probability. An updating weight calculation unit is configured to acquire data about presence or absence of an object in each of the cells therearound based on map data, and determine a weight of the detection result data used by the occupancy probability updating unit to update the occupancy probability for the cell, based on a degree of match between the data about presence or absence of an object in the cell and the detection result data.

Abstract: An object detection device includes an azimuth sensor that measures an azimuth region of an object that is present around a vehicle, a plurality of distance sensors each of which measures a distance to the object, and an object determination section that calculates arcs of circles whose radii are the distances measured by the respective distance sensors and calculates intersection points of a tangent to adjacent ones of the arcs and the azimuth region measured by the azimuth sensor.

Abstract: In a localization apparatus for a vehicle, a landmark detector detects a landmark from camera information acquired from a camera mounted to the vehicle. An associator associates the landmark with a specific set of radar information by setting an error region in which the landmark may exist, selecting, from a radar observation point cluster formed of a set of radar observation points corresponding to a set of radar information acquired from a radar mounted to the vehicle, a radar observation point cluster formed of a set of radar observation points included in the error region, and associating the landmark with the specific set of radar information corresponding to the selected radar observation point cluster. A positional relationship calculator calculates a positional relationship between the landmark and the vehicle based on the specific set of radar information associated with the landmark.

Abstract: An object detection device includes: a camera ECU that measures the bearing of an object by detecting the object from an image captured by a camera and identifying the direction toward the object; a sonar that measures the distance to the object existing around the vehicle; and a position identification unit that identifies the position of the object by combining the measured bearing data and distance data on a grid map that is based on a polar coordinate system and identifying the grid cell where the object exists on the grid map.