A lane information management method for managing lane information using a processor is provided. This method includes acquiring road map information and information on a travel history that is represented by a travel trajectory on a road map, determining, using a plurality of the travel histories, whether or not a lane connected to an intersection is in a multiple lane form in which two or more lines of vehicles are formed on a single lane, and managing the lane information, including a result of determination of the multiple lane form in the lane information.

Using a planning circuit of a vehicle, a map is accessed that includes information identifying at least one lane on which vehicles can travel. Using the planning circuit and from the map, a graph representing a driving environment of the vehicle is generated. The graph includes multiple trajectories. At least one trajectory includes a lane change. Each trajectory is a path for the vehicle to move from a first spatiotemporal location to a second spatiotemporal location. The trajectory includes at least one lane alone which the vehicle can move. Using the planning circuit, a trajectory of the multiple trajectories for the vehicle to travel is selected based on an initial vehicle trajectory of the vehicle. The selected trajectory includes a stem. The stem is a portion of the selected trajectory to which the vehicle is configured to adhere. Using the control circuit, the vehicle is moved along the selected trajectory.

The present invention relates to a video output device mounted on a vehicle to implement augmented reality, and a method for controlling the same. The video output device comprises: a video output unit for outputting visual information for implementing the augmented reality; a communication unit for receiving a front video captured of the front of the vehicle; and a processor for investigating, in the front video, at least one to-be-driven lane on which the vehicle is to be driven, and controlling the video output unit such that main carpet images guiding the to-be-driven lanes are output lane by lane.

A path providing device configured to provide a path information to a vehicle includes: a communication unit configured to receive, from a server, map information including a plurality of layers of data, an interface unit configured to receive sensing information from one or more sensors disposed at the vehicle, a processor, and an event data recorder (EDR) configured to store vehicle status information including first sensor data sensed by a first sensor associated with an operation of the vehicle, and second sensor data sensed by a second sensor associated with surrounding information of the vehicle. The processor is configured to determine an optimal path for guiding the vehicle from an identified lane, generate autonomous driving visibility information, update the optimal path based on dynamic information and the autonomous driving visibility information, and include the vehicle status information stored in the EDR in the autonomous driving visibility information.

A navigation system for a host vehicle is provided. The system may comprise at least one processing device comprising circuitry and a memory. The memory includes instructions that when executed by the circuitry cause the at least one processing device to: receive a plurality of images acquired by a camera, the plurality of images being representative of an environment of the host vehicle; analyze the plurality of images to identify a presence in the environment of the host vehicle a navigation rule suspension condition; temporarily suspend at least one navigational rule in response to identification of the navigation rule suspension condition; and cause at least one navigational change of the host vehicle unconstrained by the temporarily suspended at least one navigational rule.

A navigation system adapted to be installed on a vehicle includes an output device and a processing device. The processing device executes the following steps after determining a planned route: obtaining real-time image data and performing image recognition on the image data to identify at least one lane from the image data; obtaining a real-time positioning result that indicates a current location of the navigation system; based on the planned route and the positioning result, selecting a target lane that corresponds to a moving directive presented by the planned route; and controlling the output device to visually output a route indicator that indicates the target lane.

Provided are techniques for thermally efficient route selection. A request is received for a route for a vehicle to travel from a first geographic location to a second geographic location. Route data is retrieved for each of a plurality of routes, where the route data includes, for each portion of each route at a given time and day, air temperature adjacent to a road surface. Vehicle data is retrieved for the vehicle, where the vehicle data includes a desired temperature of an item being carried and a desired inlet air temperature. The route from the first geographic location to the second geographic location is determined using the route data and the vehicle data, where the route is thermally efficient. The vehicle is directed along the route, where the route specifies a lane from a plurality of lanes of a road for each portion of the route.

An autonomous vehicle (AV) includes a vehicle computing system configured to receive map data of a geographic location, obtain position estimate data of the autonomous vehicle and determine a route of the autonomous vehicle including a plurality of roadways in the plurality of submaps. The autonomous vehicle determines a route including a plurality of roadways, determines a first roadway in the plurality of roadways closest to the position estimate and a second roadway outside the plurality of roadways closest to the position estimate of the autonomous vehicle, and determines a pose relative to the first roadway or the second roadway based on a distance between the position estimate of the autonomous vehicle and a roadway associated with a prior pose of the autonomous vehicle to control travel of the autonomous vehicle based on the vehicle pose.

A system for inferring lane boundaries via vehicle telemetry for a road section is provided. The system includes a computerized remote server device operable to receive through a communications network sensor data describing lane markings upon roads bordering the road section, determine established lanes upon roads bordering the road section based upon the sensor data, receive through the communications network the vehicle telemetry generated by a plurality of vehicles traversing the road section, generate inferred lanes for the road section based upon the vehicle telemetry, match the inferred lanes to the established lanes to generate unified lane geometries, and publish the unified lane geometries.

At the time of travel following a travel route, even if an environment around the travel route changes, estimation of a host vehicle position from a stationary object is realized. A vehicle control device has a processor and a memory and controls traveling of a vehicle, and includes a sensor that acquires surrounding environment information of the vehicle, a surrounding environment storage unit that acquires a stationary object from surrounding environment information acquired by the sensor, calculates a position of the stationary object, and stores the position of the vehicle on a travel route and a position of the stationary object in association with each other. The surrounding environment storage unit stores three or more of the stationary objects at each position on a travel route as stationary objects for host vehicle position estimation in a case of receiving a command to start storing the surrounding environment information and the travel route.