Location polygons are defined along traffic lanes and parking spaces to facilitate determination of the location of a vehicle relative to features associated with the location polygons. The location polygons are used, in one application, to identity entrance and exit of a special toll lane along a roadway, and to ensure that the vehicle properly enters and exits the tolling lane.

A vehicle policy server maintains a set of policies for constraining operations of one or more remote vehicles. The policies may specify areas, locations, or routes that specified vehicles are restricted from accessing based on a set of acquired information. An application programming interface (API) enables programmatic updates of the policies or related information. Policies may be enforced by transmitting control signals fully or in part to onboard vehicle computers or to a teleoperation support module providing remote support to the vehicles using human teleoperators and/or artificial intelligence agents. The control signals may directly control the vehicles or teleoperation, or may cause a navigation system to present known restrictions in a suitable fashion such as generating an augmented reality display or mapping overlays.

A drive assistance apparatus predicts demand for vehicles in each area including a driving route, based on a demand prediction model for predicting the demand in the area. The drive assistance apparatus also predicts the frequency of occurrence of an obstacle in each of the regions obtained by dividing the area, based on a frequency model for predicting the frequency of occurrence of the obstacle in the region, and generates a driving route of the vehicle, based on the predicted demand in the area and the predicted frequency of occurrence of the obstacle.

A system for instructing an Autonomous Vehicle (AV) to perform a minimal risk condition maneuver comprises a fleet of AVs and an oversight server. The oversight server receives macro information that applies to a plurality of AVs from the fleet. The oversight server generates a batch command based on the macro information. The batch command is associated with one or more conditions. The oversight server determines whether each AV meets the one or more conditions. If the oversight server determines that the AV meets the one or more conditions, the oversight server sends the batch command to the AV. The batch command includes instructions to perform a minimal risk condition maneuver.

A drive recorder includes: an imaging unit, an image processing unit, a position information acquisition unit, a communication unit, and a function control processing unit. The imaging unit captures an image of a neighborhood of a vehicle. The image processing unit records the image captured by the imaging unit in a recording medium. The position information acquisition unit acquires position information on the vehicle. The communication unit communicates with a server apparatus to deliver information including the position information. The function control processing unit acquires area information transmitted from the server apparatus based on the position information, the area information relating to an area in which the vehicle is located.

Methods and systems for detecting malfunctioning on-board telematics units in vehicles. A computing device may receive a first and second geofence location for a vehicle from a fleet management system. The computing device may determine whether it received a third location from an on-board telematics unit of the vehicle within a time period between receiving the first geofence location and receiving the second geofence location. The computing device may determine that the on-board telematics unit associated with the vehicle is in a state of anomaly in response to determining that the third location was not received from the on-board telematics unit of the vehicle within a time period between receiving the first geofence location and receiving the second geofence location.

A device receives location data that identifies geographic locations of a vehicle at corresponding times, and speed data that identifies respective speeds of the vehicle at the set of corresponding times. The device identifies, based on the location data, speed limit data that identifies respective speed limits at the geographic locations. The device determines, based on the respective speeds and the respective speed limits, a set of respective relative speed values associated with the vehicle. The device identifies respective relative speed values, of the set of respective relative speed values, that exceed a threshold. The device determines, based on the respective relative speed values, a univocal speed indicator that represents an overall degree to which the respective relative speed values exceed the threshold, during a time interval that includes the corresponding times. The device performs a set of actions based on the univocal speed indicator.

The present disclosure describes a system for dynamically determining an accurate location of a light electric vehicle. For example, if a light electric vehicle is within a predetermined distance of a location for which an accurate location determination is needed or required, a light electric vehicle management system may update the determined location of the light electric vehicle with a location correction factor that is based, at least in part, on a reference location provided by a stationary reference point.

This provides methods and systems for the global navigation satellite system (GNSS) combined with the dead-reckoning (DR) technique, which is expected to provide a vehicle positioning solution, but it may contain an unacceptable amount of error due to multiple causes, e.g., atmospheric effects, clock timing, and multipath effect. Particularly, the multipath effect is a major issue in the urban canyons. This invention overcomes these and other issues in the DR solution by a geofencing framework based on road geometry information and multiple supplemental kinematic filters. It guarantees a road-level accuracy and enables certain V2X applications which does not require sub-meter accuracy, e.g., signal phase timing, intersection movement assist, curve speed warning, reduced speed zone warning, and red-light violation warning. Automated vehicle is another use case. This is used for autonomous cars and vehicle safety, shown with various examples/variations.

A method of determining a state of a target object, an electronic device, and a storage medium, relate to fields of a computer technology, cloud computing and Internet of things, and apply to smart cities. The method includes: receiving a transmitted first moving point sequence for the target object, the first moving point sequence including a plurality of target moving point elements, and each target moving point element containing a timestamp information and a displacement information that indicate a stay state of the target object; determining, from the first moving point sequence, a target stay point of the target object, according to the timestamp information and the displacement information; and determining that the state of the target object at the target stay point is an abnormal stay state, in response to a distance between the target stay point and a first preset position being less than a first preset threshold.