A graph representation of a tactical map representing a plurality of static components of an environment of a vehicle is generated. Nodes of the graph represent static components, and edges represent relationships between multiple static components. Different edge types are used to indicate respective relationship semantics among the static components. Individual nodes are represented as having the same number and types of edges in the graph. Using the graph as input to a neural network based model, a set of results is obtained. A motion control directive based at least in part on the results is transmitted to a motion-control subsystem of the vehicle.

A system and method for inferring a stop line for a vehicle at an intersection are provided. The system includes a processor configured to detect from accessed map data that a traffic control measure is positioned before an intersection and determine whether a stop line for the detected traffic control measure is painted. The processor, in response to determining that no stop line is painted, identifies a restricted lane and infers a stop line. The processor infers the stop line by identifying, as a nearest lane conflict, a lane segment of a second road intersecting the first road at the intersection and advancing a location of the entry line as an intermediate stop line a distance toward the nearest lane conflict, until the intermediate stop line is at a target distance from a nearest boundary of the nearest lane conflict to form an inferred stop line.

Systems and methods for assisting navigation of a vehicle are disclosed. In one embodiment, a method of assisting navigation of a vehicle includes receiving navigational data relating to an intended route of the vehicle, receiving object data relating to at least one external object detected within a vicinity of a current position of the vehicle, determining whether the at least one external object affects an ability of the vehicle to proceed along the intended route, and generating at least one instruction relating to the ability of the vehicle to proceed along the intended route.

Systems and methods are provided for autonomous vehicle navigation. The systems and methods may map a lane mark, may map a directional arrow, selectively harvest road information based on data quality, map road segment free spaces, map traffic lights and determine traffic light relevancy, and map traffic lights and associated traffic light cycle times.

Disclosed herein are systems and method including a method for managing an autonomous vehicle. The method include providing as first input to a machine learning model a raster image and a vector associated with a context of a scene comprising an autonomous vehicle and a plurality of agents, providing as second input to the machine learning model a planned travel path for the autonomous vehicle, based the first input and the second input, outputting from the machine learning model a plurality of yield/assert predictions, wherein the plurality of yield/assert predictions comprises a respective yield/assert prediction related to whether to yield or to assert in relation to each respective agent of the plurality of agents and causing the autonomous vehicle to travel along the planned travel path while yielding or asserting against the plurality of agents according to the plurality of yield/assert predictions.

A method of autonomously defining a vehicle path according to a disclosed exemplary embodiment includes, among other possible things, detecting an object that is disposed within a predetermined path with a sensor system within a vehicle, defining an avoidance clearance around the detected object with a vehicle control system within the vehicle, defining a look-ahead clearance centered on a portion of the vehicle with the vehicle control system, detecting intersections between the avoidance clearance and the look-ahead clearance with the vehicle control system, and changing the vehicle path based on the intersections between the avoidance clearance and the look-ahead clearance.

Technologies and techniques for the at least the partially automated driving of a motor vehicle. A first application and at least one redundant second application provide output data depending on motor vehicle operating data and/or environmental data. Vehicle driving data for the at least partially automated driving of the motor vehicle are determined depending on the output data. Vehicle operating data from another vehicle are received, and, depending on the vehicle operating data, the at least one redundant second application switches from an active state to a standby state in which a computer instance of a computer unit used by the at least one redundant second application is at least executed at a lower frequency than in the active state.

A vehicle control device includes: a recognizer configured to recognize a surrounding situation of a vehicle including a predetermined object located near the vehicle; and a driving controller configure to control steering and a speed of the vehicle. The driving controller controls the speed of the vehicle such that the vehicle passes the predetermined object at a greater speed when the vehicle passes the predetermined object which is located ahead in a traveling direction of the vehicle and is moving in an opposite direction to the traveling direction of the vehicle than a speed when the vehicle passes the predetermined object which is located ahead in the traveling direction of the vehicle and is moving in the same direction as the traveling direction of the vehicle.

The present invention relates to a method comprising obtaining validation sensor data from a sensor measurement at a validation observation time; generating a validation finding based on the validation sensor data; obtaining first sensor data from a sensor measurement at an observation time preceding the validation observation time; generating a first finding based on the first sensor data; and testing the first finding based on the validation finding. The present invention also relates to a corresponding method and a corresponding use.

Provided are methods, systems, devices, and tangible non-transitory computer readable media for mapping geographical surfaces. The disclosed technology can access image data and sensor data. The image data can include a plurality of images of one or more locations and semantic information associated with the one or more locations. The sensor data can include sensor information associated with detection of one or more surfaces at the one or more locations by one or more sensors. One or more irregular surfaces can be detected based at least in part on the image data and the sensor data. The one or more irregular surfaces can include the one or more surfaces associated with the image data and the sensor data that satisfies one or more irregular surface criteria at each of the one or more locations respectively. Map data including information associated with the one or more irregular surfaces can be generated.