The described technology is generally directed towards combining user identity information, corresponding to user profile data, with vehicle information, such as for use by a traffic zone management system that charges a fee for vehicle usage in a traffic zone. A user device, such as a mobile communications device, can be coupled to vehicle information such as via a transponder that is detected by roadside units, or by uploading the combined information to a wireless communications system. Based on the combination of information, different billing rates or the like can be applied to different users and vehicle types. The technology can work with various communication systems, including roadside units and wireless communication networks.

A method of processing data for a driving automation system, the method comprising steps of: obtaining image data from a camera of an autonomous vehicle, AV; image processing the image data to obtain a vehicle registration mark, VRM, of another vehicle within the surrounding area of the AV; looking up the VRM in a vehicle information database to obtain information indicative of the make, the model and the date of manufacture of the other vehicle; looking up information indicative of the make, the model and the date of manufacture of the other vehicle in a vehicle dimensions database to obtain at least one dimension of the other vehicle; and updating a context of the autonomous vehicle based on said at least one dimension of the other vehicle.

A system includes a camera defining an optical axis and a field of view defined about the optical axis. An illuminator is mounted offset from the optical axis and directed to illuminate at least a portion of the field of view, wherein the illuminator is operatively connected to the camera to provide illumination during an image capturing exposure of the camera. An image processer is operatively connected to the camera and includes machine readable instructions configured to receive image data representative of an image captured with the camera, perform facial detection to detect at least one face in the image, perform license plate detection to detect at least one license plate in the image, and to provide a vehicle overview image.

A traffic flow estimation apparatus includes: a vehicle number detector which detects a number of preceding vehicles in front of the traffic flow estimation apparatus and; a traffic flow estimator which estimates a traffic flow from the number of preceding vehicles, and the traffic flow estimator includes: an acquisition unit which acquires a time series of the number of preceding vehicles in a first predetermined period as a vehicle number time series; an evaluation index calculation unit which calculates an evaluation index of the vehicle number time series in the first predetermined period; a congestion state determination unit which determines the traffic flow of the preceding vehicles on the basis of the evaluation index; and a traffic flow controller which notifies a following vehicle behind the traffic flow estimation apparatus of an indication with respect to travel on the basis of the traffic flow of the preceding vehicles.

Disclosed is a method for a network to communicate with a vehicle in a wireless communication system. The method may comprise: receiving a location message from a vehicle stopped in a predetermined area; receiving a message about a traffic light system from a traffic light in the predetermined area; and acquiring the vehicle registration number of the stopped vehicle on the basis of a predetermined condition being satisfied. In particular, the predetermined condition may be satisfied when the stopped vehicle is determined to have committed a parking violation on the basis of the location message of the stopped vehicle and the message about the traffic light system.

A method for detecting violation of a driving-related law includes producing, by at least one camera, at least one image of a vehicle. The method includes analyzing, by an analysis engine, the at least one image. The analysis engine identifies, based on analyzing the at least one image, a physical position of a driver of the vehicle within the vehicle and identifies a direction of a gaze of the driver. The analysis engine determines that at least one of the physical position of the driver within the vehicle and the direction of the gaze of the driver are associated with a violation of a driving-related law. The method includes transmitting, by a citation mananagement agement component, a notification of the association between the at least one of the physical position of the driver and the direction of the gaze of the driver and the violation, based upon the determination.

Methods are disclosed for providing Lawful Intercept (LI) for vehicles. In one embodiment the method includes providing, to at least one autonomous vehicle, at least one vehicle number of a vehicle being tracked and using a camera of the at least one autonomous vehicle, determining a vehicle number of the a vehicle the autonomous vehicle has encountered. The method further includes comparing the vehicle number of the vehicle the autonomous vehicle encountered to the vehicle number of the vehicle being tracked, and when the vehicle number of the vehicle the autonomous vehicle encountered matches the vehicle number of the vehicle being tracked, sending a message to law enforcement that the vehicle being tracked has been encountered.

System and methods are disclosed for capturing license plate (LP) information of a vehicle in relative motion to a camera device. In one example, the camera system detects the LP in multiple frames, then aligns and geometrically rectifies the image of the LP by scaling, warping, rotating, and/or performing other functions on the images. The camera system may optimize capturing of the LP information by executing a temporal noise filter on the aligned, geometrically rectified images to generate a composite image of the LP for optical character recognition. In some examples, the camera device may include an image sensor, such as a high dynamic range (HDR) sensor, modified to set long and short exposures of the HDR sensor to capture frames of a vehicle's LP, but without consolidating the images into a composite image. The camera system may set optimal exposure settings based on detected relative speed of the vehicle.

An automated vehicle control distributed network node, that includes at least two modems for communicating with two neighboring roadside nodes on the same side of the roadway; at least one antenna for communicating with vehicles via a wireless connection; pattern recognition processing operative to detect patterns using image data from a plurality of high speed, high resolution video cameras that include night vision; vehicle prediction processing, operatively coupled to the pattern recognition processing, operative to predict vehicle location, velocity and direction using the pattern recognition processing; and a vehicle controller, operatively coupled to the vehicle prediction processing to receive vehicle prediction data, and to the at least one antenna, operative to send acceleration, deceleration and steering control signals to a plurality of vehicles in response to vehicle prediction data received from the vehicle prediction processing.

Disclosed herein are systems and methods for alleviating traffic congestion within an enforcement zone. In some embodiments, a system for alleviating traffic congestion within an enforcement zone comprises a server and a plurality of edge devices coupled to carrier vehicles deployed within the enforcement zone. The edge devices can be configured to capture videos of vehicles that may be subject to the traffic congestion pricing policy and to determine their locations, license plate numbers, and certain vehicle attributes using certain sensors on the edge devices and deep learning models running on the edge devices. The edge devices can also be configured to transmit evidence packages to the server concerning such vehicles. The server can be configured to evaluate the evidence packages received from the edge devices and prepare final evidence packages concerning the vehicles for further review and processing.