A reference identification unit identifies a target reference position to be a reference from a position history indicated in target information, based on a movement state of a target object, and identifies a nearby reference position to be a reference from a position history indicated in nearby information, based on a movement state, estimated from the nearby information, of a nearby object which is a mobile object present in the vicinity of the target object. A position estimation unit estimates a relative position between the target object and the nearby object, based on the target reference position and the nearby reference position.

The invention is provided with: a turning determination unit 13 and an image reproducing unit 14. The turning determination unit 13 determines a section in which an automobile travels with turning, not travels straight, based on road-route information regarding a traveling route and a road on the traveling route. The image reproducing unit 14 displays a selected-virtual space image that is selected in advance in a straight section in which the automobile travels straight, and displays a turning-virtual space image for a view field turning in accordance with a turning pattern determined by a road shape and a traveling direction in a turning section, in the turning section in which the automobile travels with turning. When the automobile turns, a contradiction that occurs between information obtained by the brain through an experience of a user and information obtained by the brain through that the user views the turning-virtual space image displayed on an HMD 200 is reduced, and thus an occurrence that the autonomic nerves cause an abnormal phenomenon is suppressed.

Systems and methods are provided for autonomous vehicle navigation. The systems and methods may map a lane mark, may map a directional arrow, selectively harvest road information based on data quality, map road segment free spaces, map traffic lights and determine traffic light relevancy, and map traffic lights and associated traffic light cycle times.

A map data generation device includes a start section setting unit configured to set a start section in a first lane, an end section setting unit configured to set an end section in a second lane, a first storage control unit configured to cause crossing travel track data from the start section to the end section to be stored in a crossing travel track data storage unit, a travelable range data generating unit configured to generate travelable range data indicating a travelable range when a vehicle travels using an automated driving function or a driving assist function using the crossing travel track data, and a second storage control unit configured to cause the travelable range data to be stored in a travelable range data storage unit.

A map generation device (10) generates linearization information expressing at least one or the other of a marking line of a roadway and a road shoulder edge based on measurement information of a periphery of the roadway. The measurement information is obtained by a measurement device. The map generation device (10) calculates an evaluation value expressing a reliability degree of partial information, for each partial information constituting the linearization information. A map editing device (20) displays the partial information in different modes according to the evaluation value, thereby displaying the linearization information. The map editing device (20) accepts input of editing information for the displayed linearization information.

Systems and methods related to roadmaps for mobile robotic devices are provided. A computing device can determine a roadmap that includes a first intersection associated with first and second edges. The computing device can determine an edge interaction region (EIR) surrounding the first intersection that includes portions of the first and second edges, where a traversal region on the first edge portion can overlap a traversal region on the second edge portion. The computing device can determine first and second sub-edges of the first edge; the first sub-edge within the EIR and the second sub-edge outside the EIR. The computing device can receive a request to determine a route, determine the route specifying travel along the first sub-edge with a first rule set and along the second sub-edge with a second rule set, and provide the route.

Aspects of the disclosure relate to generating map data. For instance, data generated by a perception system of a vehicle may be received. This data corresponds to a plurality of observations including observed positions of a passenger of the vehicle as the passenger approached the vehicle at a first location. The data may be used to determine an observed distance traveled by a passenger to reach a vehicle. A road edge distance between an observed position of an observation of the plurality of observations and a nearest road edge to the observed position may be determined. An inconvenience value for the first location may be determined using the observed distance and the road edge distance. The map data is then generated using the inconvenience value.

A lane link generation device includes an acquisition unit, a lane link generation unit, and a connection unit. The connection unit acquires first and second sections representing vehicle traveling areas. The lane link generation unit generates lane links in the first section and the second section. When the lane link of the first section and the lane link of the second section have endpoints, the connection unit determines a connection destination endpoint which is an endpoint of a connection destination to be connected to an endpoint and which is an endpoint belonging to a different section, based on determination rule information. The connection unit generates a lane link that connects the endpoint to the determined connection destination endpoint.

A method for obtaining road marking data and a device thereof are provided. The method includes steps of: obtaining coordinates of calibration references on a to-be-marked road; importing the coordinates of the calibration references into an electronic image of the to-be-marked road; determining, according to a difference between the coordinates of the calibration references and coordinates of to-be-calibrated points corresponding to the calibration references in a road image included in the electronic image, whether to perform a calibration on the coordinates of the to-be-calibrated points; and when the difference is greater than a threshold, performing the calibration on the coordinates of the to-be-calibrated points, and using calibrated coordinates of the to-be-calibrated points as road marking data. By applying the present disclosure, the accuracy of road marking data can be improved.

A travel assistance method causes a sensor to detect a lane boundary present around a vehicle, calculates own positions of the vehicle, converts a coordinate system of the detected lane boundary into a coordinate system equivalent to map data stored in in accordance with the own positions, and integrates configuration information on the lane boundary included in the map data with the lane boundary of which the coordinate system is converted to generate integrated data, wherein an integrated range is determined, when the configuration information is integrated with the lane boundary of which the coordinate system is converted, such that the lane boundary includes at least either parts having different curvatures or straight parts directed in different directions, and the configuration information is mapped with the lane boundary of which the coordinate system is converted to generate the integrated data while including at least the determined integrated range.