An ID management unit allocates a first connection ID to a first vehicle in a first period and allocates the first connection ID to a second vehicle in a second period. A correction information acquisition unit connects to a distribution device using the first connection ID and receives correction information for the first vehicle from the distribution device in the first period. The correction information acquisition unit connects to the distribution device using the first connection ID and receives the correction information for the second vehicle from the distribution device in the second period. With the system, it is possible to reduce waste of connection IDs necessary for connection to the distribution device that distributes correction information for realizing high-accuracy positioning.

One or more techniques and/or systems are provided for parking space routing. For example, parking data for a parking region, such as a parking lot, may be obtained from one or more data sources (e.g., vehicle sensor data, a parking lot camera, parking meter transaction data, etc.). Routes from a current location of a vehicle to available parking spaces within the parking region may be computed. The routes may be ranked based upon various criteria, such as convenience, congestion, travel time, travel distance, a parking space fill order, etc. A route, having a rank above a threshold (e.g., a highest ranked route), may be provided to a driver of the vehicle, such as through a vehicle navigation unit, a mobile device, a wearable device, etc. The route may be provided to autonomous driving functionality of the vehicle for automatic routing and navigation of the vehicle to the parking space.

The present disclosure relates to navigational systems for vehicles. In one implementation, such a navigational system may a first output from a first sensor and a second output from a second sensor; identify a target object in the first output; and determine, based on the first output, a detected driving condition associated with the target object and whether the condition triggers a navigational constraint. If the navigational constraint is triggered, the system may cause a first navigational adjustment. If the navigational constraint is not triggered, the system may determine whether a representation of the target object is included in the second output. If the representation of the target object is included in the second output, the system may cause a second navigational adjustment. If the representation of the target object is not included in the second output, the system may forego any navigational adjustments.

An example method for assisting autonomous vehicle (AV) riders reach their destination after drop-off can include navigating the AV to a drop-off location associated with a user in the AV, receiving sensor data from sensors associated with the AV, determining, based on the sensor data, an orientation of the user in the AV and a location of the AV relative to a final destination of the user, generating a recommendation for how to exit the AV at the drop-off location based on the orientation of the user in the AV and the location of the AV relative to the final destination of the user, and providing the recommendation via a display, a speaker, a light-emitting device, and/or a client device, the recommendation including a visual indication of an exit direction or an AV door to use to exit the AV, audio instructions for exiting the AV, and/or visual exit instructions.

Continued and precise operation of an agricultural implement exists even where a subsystem, such as a GPS receiver, wireless communicator, a sensor, or the like, fails, falters, or is otherwise unusable. Data is continually tracked to the extent possible during failure or faltering and is temporarily stored. To continue operations during periods of unavailability, a representation of planted ground is anticipated by other agricultural implements and/or calculated with agricultural data from other agricultural implements. Normal operations then continue until data sync can catch back up to real-time.

A system and method for a motorized mobile chair use a plurality of sensors having a plurality of sensor types to detect a plurality of objects and generate sensor data about the detected objects, each of the detected objects being a person, the sensor data about the objects comprising a plurality of range measurements to the people and a plurality of bearing measurements to the people. The system has at least one processor to receive the sensor data about the people, group the detected people into a plurality of zones, determine a closest person in each zone, and generate one or more control signals to cause the motorized mobile chair to match a speed and a direction of the closest person in the zone corresponding to a direction of travel of the motorized mobile chair while at least approximately maintaining a selected space to the closest person in the zone corresponding to the direction of travel of the motorized mobile chair.

An example driver assistance system includes an object detection (OD) network, a semantic segmentation network, a processor, and a memory. In an example method, an image is received and stored in the memory. An object detection (OD) polygon is generated for each object detected in the image, and each OD polygon encompasses at least a portion of the corresponding object detected in the image. A region of interest (ROI) is associated with each OD polygon. Such method may further comprise generating a mask for each ROI, each mask configured as a bitmap approximating a size of the corresponding ROI; generating at least one boundary polygon for each mask based on the corresponding mask, each boundary polygon having multiple vertices and enclosing the corresponding mask; and reducing a number of vertices of the boundary polygons based on a comparison between points of the boundary polygons and respective points on the bitmaps.

One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

A computer includes a processor and a memory storing instructions executable by the processor to receive a time series of vectors from a sensor, determine a weighted moving mean of the vectors, determine an inverse covariance matrix of the vectors, receive a current vector from the sensor, determine a squared Mahalanobis distance between the current vector and the weighted moving mean, and output an indicator of an anomaly with the sensor in response to the squared Mahalanobis distance exceeding a threshold. The squared Mahalanobis distance is determined by using the inverse covariance matrix.

The present disclosure relates to navigational systems for vehicles. In one implementation, such a navigational system may receive a first output from a first sensor and a second output from a second sensor; identify a target object in the first output; determine whether the target object is included in the second output; and determine a detected driving condition associated with the target object and whether the condition triggers a navigational constraint. If the navigational constraint is not triggered, the system may cause a first navigational adjustment if the target object is included in both the first output and the second output, and may forego any navigational adjustments if the target object is included in the first output but not in the second output. If the navigational constraint is triggered and the target object is included either in the first or second output, the system may cause a second navigational adjustment.