Examples of the present disclosure relate to methods for performing object detection. In one such example, data representing an image is received. The image comprises at least one target region and a further region. The at least one target region is identifiable using data indicative of a gaze direction of a viewer of the image. A first portion of the data is processed using a first processing scheme to perform object detection in the at least one target region of the image. The first portion of the data represents the at least one target region of the image. A second portion of the data is processed using a second, different, processing scheme. The second portion of the data represents the further region of the image.

Systems, methods, tangible non-transitory computer-readable media, and devices for operating an autonomous vehicle are provided. For example, a vehicle computing system can receive sensor data including information based on sensor outputs associated with detection of objects in an environment by sensors of a vehicle. Inflection points can be determined based at least in part on the sensor data. The inflection points can correspond to portions of the objects that occlude detection of the environment beyond the portions of the objects. A set of polar coordinates can be determined for each of the one or more inflection points. The set of polar coordinates can include a distance from the sensors to a portion of the objects and an angle of the sensor with respect to the portion of the objects. Furthermore, sparse map data including the set of polar coordinates can be generated based on the set of polar coordinates.

Aspects concern a distributed computing system for generating vector tiles of a selected map area including a memory unit configured to store map data and a task database, the map data including a representation of the selected map area with a first resolution and a first detail level and with a second resolution higher than the first resolution and a second detail level; two or more processing units, each of the two or more processing units configured to select a task included in the task database, to execute the selected task, and to provide data generated by the selected task to the memory unit for storage; wherein one of the two or more processing units is further configured to schedule the generation of vector tiles by determining tasks using a specific predefined directed acyclic task graph and to provide the determined task to the task database.

A method for updating a map of the surrounding area wherein the map is used when controlling a transportation vehicle. The transportation vehicle attempts, when travelling along a carriageway, to detect a landmark recorded in the map of the surrounding area using sensors. In response to the transportation vehicle being unable to detect the landmark using its sensors, the transportation vehicle prepares a proposal for deletion which is sent to an external central computer. The proposal for deletion is examined in the external central computer and deletes the landmark from the map of the surrounding area in response to the proposal for deletion being verified. In the method, information regarding a visibility range for the landmark is entered in the map of the surrounding area specifying at what range the landmark is visible from a road permitting a more effective detection of landmarks.

A high-definition map building method includes determining a key node describing information about a key position of a lane attribute change, determining a key node layer based on a position of the key node and an attribute of the key node, and determining a high-definition map based on a navigation map and the key node layer. The navigation map provides road-level navigation information, and the high-definition map provides lane-level navigation information.

Embodiments disclosed herein provide for a method including configuring a self-learning safety sign to: establish vehicle-to-everything (V2X) communications with a two-wheeler equipped with a V2X transceiver and positioned at a ride point and/or ridden along a common and divergent route according to a setup stage for the safety sign; receive ride parameters in the V2X communications from the two-wheeler associated with the positioning and/or riding of the two-wheeler; and analyze the received ride parameters to create a ride model for determining a future route to be taken by any two-wheeler in V2X communication with the safety sign.

The disclosure relates to a method for operating a sensor circuit in a motor vehicle, wherein a processor in the sensor circuit receives a reflection signal from an environment of the motor vehicle by way of an environmental sensor and ascertains from the reflection signal a particular detection point, which describes a relative position of a reflection event with respect to the motor vehicle. The disclosure involves the processor using pattern data to establish a surface region in the environment and a category of the surface region and checking for the detection point whether it lies in the surface region, and the detection point which lies in a surface region is categorized according to the pattern data of the surface region and the detection point is filtered according to its categorization by way of a filtering action for trajectory planning of a driving trajectory of the motor vehicle.

A method and system for determining a route map and a route for a vehicle. Generating the route map comprises obtaining historical data comprising a plurality of data points for each of a plurality of vehicles from storage and determining a plurality of nodes each representing a subset of the data points. The historical data is applied to the plurality of nodes to determine the closest node for each vehicle. The nodes are ordered for each of the plurality of vehicles in the historical data by time; and a directed edge is generated between a first and second node of the plurality of ordered nodes, based on when the historical data indicates that a given vehicle has transited from the first node and the second node. A route is determined for the vehicle based on the generated route map and outputted route to a control system.

An automotive vehicle includes at least one sensor configured to detect features in a region proximate the exterior of the vehicle. The vehicle additionally includes at least one telecommunications module configured to transmit data to and receive user data from a remote device. The vehicle further includes at least one controller. The controller is configured to receive sensor data from the at least one sensor. The controller is also configured to identify at least one physical feature in the region proximate the exterior of the vehicle based on the sensor data. The controller is additionally configured to determine a user location. The controller is further configured to determine a route from the user location to a current vehicle location, with the route not intersecting the physical feature. The controller is further configured to communicate the route to the remote device via the telecommunications module.

Systems and methods are provided for label placement that provide necessary information on a map when map features conflict without significantly impacting performance. Embodiments of the present disclosure can handle placement of map labels that vary in size, have prioritized label/feature groupings, apply to point, line, and area features, minimize overlap when there is no more open space, and render fast enough for interactive viewing.