The present invention relates to a method for reporting an electric car charging space in a parking lot, the method comprising: identifying whether a charger of each of charging spaces in a parking lot is being used; identifying whether a car exists in each of the charging spaces; and selecting a chargeable space and reporting the selected chargeable space.

Aspects concern a method for correcting errors in map data comprising obtaining map data specifying travel possibilities between locations, generating a routing graph from the map data by assigning a vertex to each location and an edge from one vertex to another vertex if the map data specifies that it is possible to travel from the location to which the first vertex is assigned to the location to which the second vertex is assigned, identifying the largest strongly connected component of the routing graph, identifying one or more further strongly connected components of the routing graph, detecting errors in the map data by identifying travel possibilities that are not in the map data which lead to missing connections between the one or more further strongly connected components of the routing graph and the largest strongly connected component of the routing graph and amending the map data by the identified travel possibilities.

Techniques described herein provide for enhanced ultra-local navigation services for V2X devices (e.g., smartphones incorporating V2X chip sets). The V2X devices can transmit vehicle information to edge network devices (e.g., roadside units). The roadside units can be deployed at intersections or along roads to collect traffic information through various sensor inputs and V2X communications with multiple vehicles. The communication between V2X devices and the edge network devices can be accomplished through wireless communication (e.g., direct PC5 interface or through local Uu interface with edge computing. The edge network devices can perform local route optimization and compute one or more recommendations (e.g., a recommend route, a recommended speed, a recommended lane). The edge network devices can transmit the one or more recommendations via a wireless communication to the V2X devices. The V2X devices can display the recommendations to a user.

Technologies for managing interoperable high definition (HD) maps for autonomous vehicles includes a HD map server to distribute interoperable HD map tiles to various autonomous vehicles, each of which may be configured to utilize proprietary HD map tiles of different propriety formats. As such, each of the autonomous vehicles is configured to translate the interoperable HD map tile to the proprietary format used by that particular vehicle. Additionally, each autonomous vehicle may submit crowd-sourced sensor data to the interoperable HD map server using a universal data set by converting the sensor data to a universal data structure.

A system includes a processor and a memory storing instructions which when executed by the processor configure the processor to receive telemetry data from a vehicle being driven in a road segment, detect lane changes made by the vehicle in the road segment based on the telemetry data, and characterize the road segment and driver behavior based on the lane changes and the telemetry data.

Some embodiments of the invention provide several novel methods for generating a navigation presentation that displays a device navigating a route on a map. The method of some embodiments uses a virtual camera that, based on detected changes in the navigation context, dynamically modifies the way it captures portions of the map to produce different navigation scenes in the navigation presentation. To generate the navigation scenes, the method of some embodiments (1) identifies different sets of attributes that describe the different navigation contexts at different times during the navigation presentation, and (2) uses these different sets of attributes to identify different styles for operating the virtual camera. In some embodiments, the method uses an identified style to specify the virtual camera's positional attributes, which, in turn, define the portions of the map that the virtual camera identifies for rendering to produce several navigation scenes for a period of time (e.g., until the navigation context changes, or until the navigation presentation ends when the navigation context does not change again). During the navigation presentation, each time the navigation context changes, the identified set of attributes may change. This change, in turn, may cause the method of some embodiments to select a new style for operating the virtual camera. When the style for operating the virtual camera changes, the method of some embodiments modifies the way the virtual camera captures the portion of the map to render.

System and methods for determining traffic violation hotspots based on roadway feature and/or sensor data. Traffic violation hotspots include, for example areas where traffic violations are more likely to occur such as traffic light jumping, wrong way driving, over speeding, not wearing seatbelt, avoiding stop signs and red lights, distracted driving, passing other vehicles in a no-passing zone, among others. Embodiments further provide predictions for traffic accidents hotspots based on the presence or absence of the traffic violation hotspots.

A head-up display and a method for operating a head-up display for a motor vehicle. Virtual objects may be assigned to parts of the environment of the motor vehicle, where a virtual reference feature is obtained, the orientation of which is defined on the basis of a roadway that is or can be used by a vehicle. An orientation of the motor vehicle may be determined in relation to the virtual reference feature. A virtual object may be displayed when the part of the environment to which it is assigned lies within a field of view for the head-up display, wherein a horizontal position of the object that is displayed is defined in the field of view on the basis of the relative orientation to the virtual reference feature.

A control apparatus (10) generates probe data from sensing data obtained by sensing objects in a mobile object's surroundings. The control apparatus (10) selects at least some pieces of probe data as transmission data from the probe data generated, according to a communication resource determined according to a role of the mobile object. The control apparatus (10) transmits the transmission data selected to a management server (20). The management server (20) updates management data such as a dynamic map based on the transmission data.

A navigation system includes: a control circuit configured to: generate a video clip by parsing an interval of a sensor data stream for a region of travel; analyze the video clip submitted to a deep learning model, already trained, including identifying a traffic flow estimate; access a position coordinate for calculating a distance to intersection; generate a traffic flow state by fusing a corrected speed, the traffic flow estimate, and the distance to intersection; merge a vehicle maneuvering instruction into the traffic flow state for maneuvering through the region of travel; and a communication circuit, coupled to the control circuit, configured to: communicate the traffic flow state for displaying on a device.