G08G1/0968

Ising solver system

An ising solver system that searches an optimal route of a vehicle from plural routes passing through plural locations. In the ising solver system, the search of the optimal route uses a Hamiltonian. The Hamiltonian includes an equation representing an interaction between Quadratic Unconstrained Binary Optimization (QUBO) variables depending on a relation between a departure location and an arrival location or capacitated variable of the ising solver. The capacitated variable corresponds to one of the QUOBO variables and includes a variable constraint, and the location-to-location travel step number corresponds to an accumulated movement time of the vehicle.

IDENTIFICATION OF CONNECTION PATTERNS ON THE BASIS OF TRAJECTORY DATA
20230028461 · 2023-01-26 ·

A method for selecting at least one connection pattern drivable by road users using a control device. Trajectory data are received from at least one area. On the basis of the received trajectory data, starting points and end points of drivable trajectories are determined. All the connection patterns between the starting points and the end points of the drivable trajectories are determined in the form of connecting lines. The determined connection patterns are filtered by at least one filter. Connection patterns remaining after filtering are compared with route profiles from the trajectory data. For each remaining connection pattern a number of route profiles which correspond to the connection pattern are counted. A connection pattern with the highest number of matching route profiles is selected. A control device, a computer program, and a machine-readable storage medium are also described.

REMINDING METHOD AND APPARATUS IN ASSISTED DRIVING, REMINDING METHOD AND APPARATUS IN MAP-ASSISTED DRIVING, AND MAP
20230227057 · 2023-07-20 ·

A method, system and medium for assisted driving of a vehicle are disclosed. The method comprises predicting a target intersection based on map information, a positioning location of the vehicle, and a motion status of the vehicle, where the target intersection is an intersection that the vehicle is to first pass in the future; determining a distance between the vehicle and the target intersection based on the map information and the positioning location of the vehicle; collect a turn light status of the vehicle; and when the distance between the vehicle and the target intersection is less than a first threshold, generating prompt information based on the turn light status of the vehicle and a first turning rule of a first lane in which the vehicle is located at the target intersection, where the prompt information prompts that the turn light status does not conform to the first turning rule.

SYSTEMS AND METHODS FOR USING A DISTRIBUTED DATA CENTER TO CREATE MAP DATA

This disclosure relates to a distributed data center that includes resources carried by a fleet of vehicles. The system includes sensors configured to generate output signals conveying information related to the vehicles and/or the surroundings of vehicles. The system includes a remote computing server configured to maintain map data and distribute it to the fleet, including local map data to individual vehicles pertaining to their surroundings. Individual vehicles may compare the local map data with the information related to their individual surroundings. Based on such comparisons, individual vehicles may detect discrepancies between the local map data and the information related to their individual surroundings. The remote computing server may modify and/or update the map data based on the detected discrepancies.

Method of generating expected average speed of travel

A method of generating map data indicating a deviation from expected jam conditions on a segment of a plurality of segments in an area covered by an electronic map, the segment having associated therewith a jam probability indicating the likelihood of a jam on that segment. The method comprises establishing an expected jam condition for the segment based on the jam probability of that segment, and then obtaining live data indicating the jam conditions on at least one of the plurality of other segments in the area. A revised jam condition can then be established for the segment using the obtained live data.

Edge-accelerated artificial intelligence for collaborative sensing of physical intelligent moving objects

Systems and methods for identifying physical intelligent moving objects (IMOs); creating, for a first subset of the physical IMOs, digital representations in edge clouds of a distributed cloud computing environment, each digital representation representative of a physical IMO of the first subset of the physical IMOs; generating a cooperative network computing (CNC) platform that includes the digital representations of the first subset of the physical IMOs, each digital representation functioning as a CNC entity in the CNC platform for the corresponding physical IMO; identifying a CNC task of a first physical IMO of the plurality of physical IMOs; and performing, by a first digital representation of the representations that corresponds to the first physical IMO, the CNC task in the CNC platform, including accessing data associated with a second digital representation of the digital representations in the CNC platform to perform the CNC task at the first digital representation.

Edge-accelerated artificial intelligence for collaborative sensing of physical intelligent moving objects

Systems and methods for identifying physical intelligent moving objects (IMOs); creating, for a first subset of the physical IMOs, digital representations in edge clouds of a distributed cloud computing environment, each digital representation representative of a physical IMO of the first subset of the physical IMOs; generating a cooperative network computing (CNC) platform that includes the digital representations of the first subset of the physical IMOs, each digital representation functioning as a CNC entity in the CNC platform for the corresponding physical IMO; identifying a CNC task of a first physical IMO of the plurality of physical IMOs; and performing, by a first digital representation of the representations that corresponds to the first physical IMO, the CNC task in the CNC platform, including accessing data associated with a second digital representation of the digital representations in the CNC platform to perform the CNC task at the first digital representation.

Device and computer program product for route planning for a vehicle

A method determines an anticipated occupation of charging points and a charging strategy for a specified route. The method provides traffic data which is representative for the current traffic density on the route specified. An anticipated occupation of charging points along the specified route can be determined on the basis of the traffic data. A charging strategy can be determined on the basis of the traffic data and the determined anticipated occupation of charging points. The provision of information regarding a charging strategy to a driver allows the time required for the specified route to be reduced.

DISPLAY DEVICE, DISPLAY METHOD, AND VEHICLE

A display device is disclosed. The device includes: a display that is provided to a moving body; and a display controller that controls displaying, on the display, of a virtual object corresponding to an object seen through the display from inside of the moving body, based on a positional relationship between the object and the moving body.

METHOD, DEVICE, AND COMPUTER PROGRAM FOR PROVIDING DRIVING GUIDE BY USING VEHICLE POSITION INFORMATION AND SIGNAL LIGHT INFORMATION
20230018996 · 2023-01-19 · ·

Provided are a method, a device, and a computer program for providing a driving guide by using vehicle position information and signal light information. A method for providing a driving guide by using vehicle position information and signal light information according to various embodiments of the present invention is a method performed by a computing device. The method may comprise the steps of: collecting image data obtained by photographing a space where a vehicle is currently driving; determining a current driving lane of the vehicle by using the image data and vehicle position information; and providing a driving guide for the vehicle by using the current driving lane of the vehicle.