A method is provided for the creation of parking lot geometry that can be used to provide guidance to a vehicle through the parking lot. Methods may include: generating a road network of a parking lot based on a plurality of probe data points; map matching the plurality of probe data points to road links of the parking lot; identifying parking lot accessor road links; identifying a building affinity link; identifying primary parking lot road links, where primary parking lot road links include at least one of a trajectory count, probe count, or average or median probe speed that is higher than a respective trajectory count, probe count, or average or median speed of non-primary parking lot road links; establishing a route from a parking lot accessor road link to the building affinity link; and providing for guidance of a vehicle along the route.

An on-vehicle device according to the present disclosure includes: a driver identification means for identifying a driver; a road-to-be-traveled width measurement means for measuring a road-to-be-traveled width being the width of a road-to-be-traveled; a passable road width acquisition means for acquiring a passable road width being a road width passable by an own vehicle driven by a driver identified by the driver identification means; a first determination means for determining whether the road-to-be-traveled width is narrower than the passable road width; and a notification means for, when the road-to-be-traveled width is determined to be narrower than the passable road width by the first determination means, giving notification that a narrow road being a road-to-be-traveled the road-to-be-traveled width of which is determined to be narrower than the passable road width by the first determination means is impassable by an own vehicle driven by a driver identified by the driver identification means.

A method for detecting, localizing, reporting, and displaying potholes on a road, in a system comprising a sensing device mounted on a vehicle, a cartography display, and a control unit, the sensing device comprising at least a radar device, the method comprising scanning with the sensing device an area of interest in front of and ahead the vehicle, the area of interest including at least a surface of a road traveled by the vehicle, the sensing device outputting a data flow; identifying first candidate potholes formed on the road surface; further processing the data flow to find out first confirmed potholes among the first candidates potholes; allocating a geolocation to each of the first confirmed potholes; and displaying, on the cartography display, first potholes with their localization superimposed on the map.

A map information correction method for correcting map information includes information of a lane boundary line, the method further including: detecting a position with respect to an own vehicle of a lane boundary line set in place on a road surface around the own vehicle; estimating an own position on a map of the own vehicle; and correcting, depending on the estimated own position and the detected position of the lane boundary line, a position of the lane boundary line included in the map information by, in a first region comparatively close to the own vehicle, a larger rotational correction amount than in a second region comparatively far from the own vehicle and, in the second region, a larger translational correction amount than in the first region.

A method for determining road loads includes preparing a road map (15) that contains information about the local configuration of a plurality of roads. For each of a plurality of vehicles (1) a vehicle location is determined and at least one vehicle location signal (So) that characterizes the location of the vehicle concerned is generated. Using the vehicle location signal (So) and the road map, the vehicles (1) are assigned to the roads. For each vehicle (1) a vehicle load mass is determined and at least one vehicle load mass signal (Sm) that characterizes the vehicle load mass is generated. At least one road loading signal (Sb) that characterizes a road load is generated for each road using the vehicle load mass signals (Sm) of the vehicles (1) assigned to it.

Provided is an apparatus for providing obstacle information and reliability information to vehicle based on information received from roadside units. The apparatus includes a communication module that receives obstacle information from multiple roadside units, each roadside unit including multiple sensors for detecting obstacles within a predetermined field of view. A reliability judgement unit in the apparatus determines a reliability of the received obstacle information to output a reliability value based on a number of roadside units detecting a same obstacle, a number of sensor of one roadside unit detecting a same obstacle, and a difference value of detection of the same obstacle between different roadside units or different sensors.

The present disclosure provides an automated driving vehicle management system, a management method, an automated driving vehicle, and a program that are capable of appropriately managing the automated driving vehicle. The automated driving vehicle management system including: a map information storage unit that stores map information; an imaginary line management unit that manages an imaginary line imaginarily generated for a road included in the map information; and a communication unit that transmits imaginary line information about the imaginary line to a plurality of automated driving vehicles traveling along the imaginary line.

Vehicle speed data of a plurality of vehicles registered for each link of map information and respective average vehicle speeds calculated from the vehicle speed data are acquired, and the links are divided into vehicle speed groups according to the magnitude of the average vehicle speed. For each of the vehicle speed groups, the vehicle speed data of the plurality of vehicles is collectively subjected to frequency distribution analysis, and a predicted vehicle speed transition simulating a change in vehicle speed is calculated for each of the vehicle speed groups. An electricity consumption rate model of the vehicle is applied to the calculated predicted vehicle speed transition to predict an electricity consumption rate corresponding to the average vehicle speed for each of the vehicle speed groups.

A mapping system creates feature data associated with a first section of a route, stores the feature data in the local storage system as stored feature data, fuses the feature data with the stored feature data to create map data associated with the first section when the vehicle has traversed the first section and collected the stored feature data at least a threshold number of times, stores the map data in the local storage system, identifies one or more route sections as being part of one or more commute routes, and when space in the local storage system is insufficient for storage of the map data or the feature data, enables the storage by removing stored map data from the location storage system based at least in part on a determination that the removed data is not associated with the one or more commute routes.

A system and method including receiving a digital representation of a road that includes one or more lane representations; defining a factor graph including variable nodes and constraint nodes that encode lane boundary constraints for the lane map; translating the factor graph into a nonlinear optimization problem for altitudes of the lane map; generating a solution to the optimization problem; and generating a corrected lane map with an optimized altitude for the road based on the generated solution.