A guide system for selecting from among a plurality of hydrogen filling stations includes a first communication device to receive information on a status of a hydrogen fuel dispenser from each of the plurality of hydrogen filling stations, respectively; a second communication device to receive a request for guidance to one of the hydrogen filling stations, from a vehicle terminal; and a controller to guide a hydrogen fuel vehicle having the vehicle terminal to a selected one of the hydrogen filling stations allowing the hydrogen fuel vehicle to occupy a hydrogen fuel dispenser having reference pressure, at a time point when the hydrogen fuel vehicle arrives, such that the hydrogen fuel vehicle is guided to the optimal hydrogen filling station to immediately fill hydrogen without standby time.

Fatigue driving monitoring, reminding and early-warning method and system based on computer vision are provided. The system includes: a fatigue real-time monitoring system for identifying fatigue characteristic postures of a driver and obtaining a fatigue level according to frequencies of the fatigue characteristic postures and a driving time; a fatigue automatic reminding system for receiving the fatigue level, obtaining a vehicle real-time position information and providing the driver with a corresponding grade of reminder according to the fatigue level; and a fatigue information early-warning system for receiving the fatigue level and the vehicle real-time position information to obtain a fatigue safety index, so that a cloud map of fatigue road conditions is obtained according to the fatigue safety index and shared with traffic management departments and drivers for early-warning. It reduces the situation of fatigue driving on freeway and the hazard of traffic safety accidents caused by fatigue driving.

Systems and methods are provided for selecting points of interest (POIs) to include in navigation maneuvers presented by a navigation application of an electronic device. Navigation directions, including several maneuvers, are generated by a server device. Candidate POIs near locations corresponding to each of the maneuvers are identified and the server device receives requests from third parties that own each of the candidate POIs. The server device selects one of the candidate POIs for each maneuver based on the requests from the third parties. The server device provides the navigation directions, including an indication of the selected POI for a corresponding maneuver, to the client device of the user who requested the navigation directions.

A method of operation of a navigation system comprising: determining a geographic limitation with a control unit based on the geographic limitation associated with a traveler information included in a traveler restriction information; generating a provisional route based on a path between a start point and a destination point; determining a provisional POI based on a POI of the provisional route; determining a POI restriction based on the POI restriction associated with the provisional POI included in a rule information; determining a navigation restriction based on matching the geographic limitation and the POI restriction for presenting on a device.

A method for route planning includes acquiring a route origin and a route destination, and transmitting, to a route planning server, a route planning request that includes the route origin and the route destination, the route planning request is associated with a travel entity with historical travel information available at the route planning server. Further, the method includes receiving at least one planned route. The at least one planned route includes a first planned route with a familiar route portion determined based on a historical travel route of the travel entity, the first planned route includes the route origin, the familiar route portion with an origin skeleton point and a destination skeleton point, and the route destination, a first distance between the route origin and the origin skeleton point, and a second distance between the route destination and the destination skeleton point are within a preset range.

A vehicle localization method and device, an electronic device and a storage medium. The vehicle localization method includes: acquiring an image of a scene where a vehicle is located, the image comprising a semantic element; determining an element category corresponding to the semantic element; matching the semantic element with a map element to acquire a matching result by a matching method corresponding to the element category; and determining localization information of the vehicle according to the matching result.

Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

An information processing apparatus includes: a communication interface; and one or more processors configured to when determining that a degree of dirt of a vehicle exceeds a predetermined first threshold value, select at least one vehicle washing facility from among a plurality of vehicle washing facilities, based on an attribute of a user of the vehicle, and notify the user of guidance information for guiding the user to the selected vehicle washing facility via the communication interface.

The present disclosure provides a ride-hailing method and apparatus, an electronic device and a readable storage medium, and relates to the field of artificial intelligence technologies such as intelligent transportation and deep learning. The ride-hailing method includes: acquiring a rapid ride-hailing request, the rapid ride-hailing request including a departure position and a destination position of a user; determining a target pick-up point according to the departure position and the destination position; obtaining an arrival time from the departure position to the target pick-up point; and outputting the target pick-up point and path planning information from the departure position to the target pick-up point when a target region where the target pick-up point is located is determined as an easy ride-hailing region according to the arrival time. According to the present disclosure, users' ride-hailing time can be reduced, and the users' ride-hailing efficiency can be improved.

Vehicles and methods for controlling a battery of the vehicle based on remaining battery charge. A vehicle may include a battery configured to supply electricity to native and external electrical components of the vehicle. The vehicle may include an electronic control unit (ECU) coupled to the battery. The ECU may be configured to receive a priority rank for each of the electrical components. The ECU may be further configured to stop the battery from supplying the electricity to one or more of the electrical components that are below a predetermined priority rank when a charge of the battery is low.