The present disclosure provides a method for optimizing map data, a device and a storage medium, and in particular relates to artificial intelligence, intelligent transportation, smart cities and smart cockpits. A specific implementation is: performing a completeness detection of a lane line on received local map data comprising road condition information to obtain a detection result, the detection result comprising the lane line being complete or is the lane line having a missing area; in a case where the detection result is the lane line having the missing area, performing completion processing on the lane line having the missing area to obtain completed local map data; and performing a rationality detection on the completed local map data, and in a case of passing the detection, synthesizing the completed local map data with global map data to obtain an optimization result of map data.

A vehicle includes a system and method of navigating the vehicle. The system includes a sensor and a processor. The sensor captures an image of a roadway. The processor focuses the sensor at a road segment selected from a plurality of road segments of the roadway using a machine learning program based on a risk of the road segment. The machine learning program is trained to focus the sensor by calculating the risk for each of the plurality of road segments of the roadway based on a hazard probability associated with each road segment and an occupancy probability associated with each road segment, selecting the road segment from the plurality of road segments based on the risk associated with the road segment, and determining a reduction in the risk for a road risk model of the roadway due to selecting the road segment.

Systems and methods are provided for processing reports received from vehicles. A processing device perform operations comprising receiving a first report from a first vehicle, the first report generated by the first vehicle for a first hazard detected by the first vehicle; receiving a second report from a second vehicle, the second report generated by the second vehicle for a second hazard detected by the second vehicle; analyzing the first report and the second report to make a determination that the first report and the second report identify a related hazard; aggregating the first report and the second report into a consolidated report based on the determination that the first report and the second report identify a related hazard; and processing the consolidated report to identify a contributing factor to the related hazard.

The present disclosure relates to navigational systems, devices, and methods for preparing route guidance information that incorporates user needs—and ensures fulfilment of those needs under a variety of conditions. In particular, this disclosure relates to preparing route guidance information that ensures a user is directed along a route that includes stops where various needs such as e.g. medical, food, or water can be met while also minimizing traffic. Such a system may be useful, for example, when evacuating from a metro region in the face of an oncoming natural disaster such as a hurricane.

An example apparatus includes at least one processor and at least one memory coupled to the at least one processor and storing programming instructions for execution by the at least one processor to: obtain map data at a current moment, where the map data includes a first road area at the current moment, the special road condition is located in the first road area, the first road area is obtained based on a road condition model and a vehicle parameter within a preset time period before the current moment, and the road condition model represents a correspondence between a feature of the vehicle parameter and the special road condition; and determine, based on a planned route of a vehicle, that a second road area exists in the planned route of the vehicle, where the second road area is in the first road area.

An example apparatus includes at least one processor and at least one memory coupled to the at least one processor and storing programming instructions for execution by the at least one processor to: obtain map data at a current moment, where the map data includes a first road area at the current moment, the special road condition is located in the first road area, the first road area is obtained based on a road condition model and a vehicle parameter within a preset time period before the current moment, and the road condition model represents a correspondence between a feature of the vehicle parameter and the special road condition; and determine, based on a planned route of a vehicle, that a second road area exists in the planned route of the vehicle, where the second road area is in the first road area.

The refueling vehicle routing system can use a refueling vehicle routing application to compute a set of fuel delivery routes for a fleet of refueling vehicles for multiple different target vehicles to be serviced via cooperating with a refueling scenario simulator. The refueling scenario simulator can run scenarios of different sets of refueling routes to refuel target vehicles in light of an available set of assets, and then the application can supply results of how the versions of the set of refueling routes for the fleet of refueling vehicles are going to satisfy anticipated refueling needs for the target vehicles; to indicate any refueling stops that could be late, early, and/or missed entirely, for a service window of time; as well as to show a measure of how cost effective each of the refueling routes are at the satisfying of the needs for the target vehicles.

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.

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.

A mobile apparatus performing an augmented reality function and a navigation function includes an input device, a location receiver for obtaining a current location, an image obtaining device, a display device provided to display surrounding image obtained from the image obtaining device in response to execution of an augmented reality mode, and a controller provided to search for a route from the current location to a destination, destination information and map information obtained by the location receiver, identify a moving situation according to route information corresponding to the searched route, obtain location information of an inflection point at which the moving situation is changed according to information on the identified moving situation, and control the display device to display an object image of the inflection point on the surrounding image displayed on the display device based on the location information of the inflection point and the current location information.