A parking management system identifies vehicles in entrance lanes, exit lanes, or both, of a parking facility and provides a real-time vehicle inventory count. One or more beacons locate point of sale (POS) devices assigned to parking attendants to determine which of them are performing vehicle transactions. Vehicles can be associated with specific transactions, as well as the transaction-authorizing attendant and the barrier gate and vehicle travel lane to which the attendant is assigned. To reduce fraud, this transaction information can be monitored in real time by a web or mobile dashboard and analyzed in real time or upon attendant end-of-shift checkout. The parking management system also implements permit parking invitation techniques that provide registration, payment in advance or on demand, or both, for parking of an invitee's vehicle. These tasks are accomplished without an inviter's knowledge about the invitee, the invitee's vehicle, or both.

A mobile terminal to be carried by a user of a vehicle acquires a captured image of the vehicle, acquires distance information on a distance to the vehicle based on the captured image, determines whether the distance to the vehicle is within a predetermined allowable distance based on the distance information, and transmits an operation signal corresponding to an operation content input by a user to the vehicle when the distance to the vehicle is determined to be within the allowable distance.

A system, a method, and a computer program product may be provided for generating traffic congestion estimation data of one or more lanes in a region. A system may include a memory configured to store computer program code and a processor configured to execute the computer program code to obtain image data associated with the region. The processor may be configured to determine a count of one or more first movable objects in one or lanes, based on image data, calculate a lane object static capacity of the one or more lanes, based on one or more map free flow or speed limit attributes associated with the one or more lanes and generate the traffic congestion estimation data based on count of first movable objects in the one or more lanes, the moving speed of movable objects crossing multiple image frames, the lane object static capacity of lanes.

An automated charging system for an electric vehicle is disclosed that includes a plug with a built-in camera assembly. The camera assembly captures images of a charging port of the electric vehicle, which are processed by one or more processors to estimate the location of the charging port relative to the plug. A multi-stage localization architecture is described that includes a gross localization procedure and a fine localization procedure. The gross localization procedure can implement a first convolutional neural network (CNN) to estimate a position of an object in the image. The fine localization procedure can implement a second CNN to estimate a position and orientation of the object. Actuators for moving the plug in a three-dimensional space can be controlled by the multi-stage localization architecture.

An edge device for monitoring safety of a highway work zone is disclosed. The edge device includes at least one camera, one or more processors, and memory. The at least one camera is configured to capture images in sequence. The memory stores computer-executable instructions that, when executed, cause the one or more processors to: perform vehicle detection over an input of a data stream of the images, from the at least one camera, utilizing just-in-time processing; determine a level of safety by tracking vehicles detected and performing a time sequence analysis of the vehicles; and send a signal to one or more assisted reality devices indicating the level of safety thereto.

A method with vanishing point estimation includes: obtaining an image of a current time point of objects comprising a target vehicle; detecting the objects in the image of the current time point; tracking positions of the objects in a world coordinate system by associating the objects with current position coordinates of the objects determined from images of previous time points that precede the current time point; determining a vanishing point for each of the objects based on the positions of the objects; and outputting the vanishing point determined for each of the objects.

A system and method for detecting tracking vehicles are provided. The method includes determining that a second vehicle is a tracking vehicle for a first vehicle by applying at least one tracking vehicle determination rule to data captured by the first vehicle with respect to the second vehicle, wherein each tracking vehicle determination rule defines a combination of parameters such that the second vehicle is determined to be the tracking vehicle when the data captured by the first vehicle includes the combination of parameters for at least one of the at least one tracking vehicle determination rule; generating a notification upon determination that the second vehicle is the tracking vehicle; and executing a resolution process based on determination that the second vehicle is the tracking vehicle.

A peccancy monitoring system and a peccancy monitoring method are provided in the present application. The peccancy monitoring system includes: a first camera, configured to monitor whether a peccancy vehicle is present in a designated area and generate alarm message when the peccancy vehicle is present; a control unit, connected to the first camera and configured to trigger the second camera to shoot according to the alarm message; a second camera, connected to the control unit and configured to shoot the peccancy vehicle to acquire a video of the vehicle and an image of the vehicle, here the video of the vehicle is a video containing a license plate of the peccancy vehicle and the image of the vehicle is an image containing the license plate of the peccancy vehicle. By using the technical solutions in the present application, the road can be monitored after the school bus is docked.

Provided is a method and apparatus for identifying a vehicle cross-line. The method may include: determining, in each road condition image of a plurality of road condition images, position information of a target lane line and position information of a target vehicle; determining, based on the position information of the target lane line and the position information of the target vehicle, a relative positional relationship between the target vehicle and the target lane line corresponding to the each road condition image; and determining that the target vehicle crosses the line, if the relative positional relationships corresponding to the plurality of road condition images meet a preset condition.

When a frontmost white line of a crosswalk cannot be detected due to an obstacle existing on the crosswalk, an edge position of the obstacle closer to a pedestrian in an image acquired by a camera is set as the frontmost white line of the crosswalk. As a result, a vibration generation device vibrates in a pattern that urges the pedestrian to stop at the time when the pedestrian reaches a position before the edge position of the obstacle closer to the pedestrian, so that a stop notification for walking can be appropriately performed to the pedestrian even when the obstacle exists on the crosswalk.