A system for video-based tracking of objects in one or more regions of interest. The system includes one or more cameras to capture image streams of the one or more regions of interest, the imaging streams including zero or more objects. A plurality of image processors of the system receive the captured image streams from the one or more cameras, and detect the one or more objects or object parts in the captured image streams and generate geometric and tracking data for detected objects. A fusion processor of the system receives the captured image streams and geometric and tracking data for detected objects from the plurality of image processors, and generates fused 3D referenced data using the detection and tracking data detected objects.

A traffic management system for controlling traffic flow in an area is provided. The system has sensors (10) positioned at respective junctions (2) in the area, forming a network of nodes (2). Software (25) processes the sensor signals to derive vehicle signatures indicative of a particular vehicle detected at the node at a particular time. This is used to track the progress of vehicles traveling across the network and derive vehicle statistics (60) as to traffic volumes (64), routes (66) and journey times (62) at various times. Artificial intelligence (AI) (80) trained on historical vehicle statistics arranged to predict traffic arriving at plural junctions at a future time based on receiving a current count of vehicles sensed at nodes in the network. Based on the prediction, a control plan for traffic lights (3) is determined to optimise traffic flow.

The present disclosure provides a method for managing a parking lot in a smart city based on an Internet of Things, which is executed by a management platform. The method comprises obtaining a user position of a user platform based on a service platform, determining a candidate parking lot that meets a preset condition; determining time when a vehicle to be parked arrives at the candidate parking lot based on the user position; determining free parking space information when the vehicle to be parked arrives at the candidate parking lot; determining recommendation information based on the free parking space information; and sending the recommendation information to the user platform based on the service platform.

Systems, methods, and apparatuses for real-time vehicular parking enforcement are provided. The system can include a data processing system (“DPS”) comprising one or more processors and memory. The DPS can receive data captured by one or more cameras. The DPS can detect entry of a vehicle into the facility. The DPS can determine an identification number for the vehicle. The DPS can track the vehicle to a parking spot. The DPS can generate a parking event for the vehicle. The DPS can establish a timer for querying a transaction processing system. The DPS can query the transaction processing system for transaction information associated with the identification number. The DPS can generate a violation event for the vehicle. The DPS can classify the violation event. The DPS can overlay, on a digital map of the facility, an icon on the parking spot that indicates the classification of the violation event.

An automatic parking system includes an infrastructure sensor that is able to detect a state of a parking lot. A blind spot area that does not allow the state of the parking lot to be detected by the infrastructure sensor is identified in the parking lot, and the state of the parking including the blind spot area, the state of the parking lot being detected by an on-board sensor of a vehicle in the parking lot, is acquired. Based on the state of the parking lot detected by the infrastructure sensor and the state of the parking lot that includes the blind spot area and that is detected by the on-board sensor of the vehicle in the parking lot, a travel route for the vehicle traveling in the parking lot is generated.

Systems, methods, and computer readable media for performing task assignment, completion, and management within a crowdsourced surveillance platform. A remote server may identify targets for image capture and may assign capture tasks to users based on travel plans of the user. Users may be assigned task to capture image of target locations lying along a travel path. The remote server may aggregate data related to the captured images and use it to update a map and log changes to the target location over time.

Systems and methods are provided for implementing traffic management techniques in connected, but not necessarily autonomous vehicles. In accordance with one embodiment, a method comprises determining a first vehicle instruction based on vehicle-related data; transmitting the first vehicle instruction to a first vehicle; when the first vehicle performs an action, inferring whether the action is in response to the first vehicle instruction; and based on the inference, transmitting a second vehicle instruction with a compensation action to a second vehicle.

A traffic monitoring assembly includes a roof rack that is mountable to a roof of a vehicle. A global positioning system transceiver is attached to the roof rack to receive global positioning system coordinates of the vehicle. A laser sensor is attached to the roof rack for detecting the distance between the vehicle and adjacent traffic vehicles traveling on the same roadway as the vehicle. An ultrasonic sensor is attached to the roof rack to capture ultrasonic sound waves reflected from objects near the vehicle. A camera is attached to the roof rack to capture imagery of the environment surrounding the vehicle. A radar sensor is coupled to the roof rack to emit a radar signal for detecting the speed of adjacent traffic vehicles travelling on the same roadway as the vehicle.

Disclosed are devices, systems and methods for using a rotating camera for vehicular operation. One example of a method for improving driving includes determining, by a processor in the vehicle, that a trigger has activated, orienting, based on the determining, a single rotating camera towards a direction of interest, and activating a recording functionality of the single rotating camera, where the vehicle comprises the single rotating camera and one or more fixed cameras, and where the single rotating camera provides a redundant functionality for, and consumes less power than, the one or more fixed cameras.

Systems, methods, devices and computer readable media for determining a geographical location of a license plate are described herein. A first image of a license plate is acquired by a first image acquisition device of a camera unit and a second image of the license plate is acquired by a second image acquisition device of the camera unit. A three-dimensional position of the license plate relative to the camera unit is determined based on stereoscopic image processing of the first image and the second image. A geographical location of the camera unit is obtained. A geographical location of the license plate is determined from the three-dimensional position of the license plate relative to the camera unit and the geographical location of the camera unit. Other systems, methods, devices and computer readable media for detecting a license plate and identifying a license plate are described herein.