A parking enforcement system includes an autonomous vehicle that is equipped with an image capture device that is configured to capture images of license plates of parked vehicles while the autonomous vehicle moves through a parking zone. The system will process the images to extract license plate numbers from the images. The system will correlate the license plate numbers with data in a parking enforcement database to determine whether the license plate numbers are associated with an unexpired parking transaction. For any license plate number that is not subject to an unexpired parking transaction, the system may initiate an enforcement action. For any license plate number that is subject to an unexpired parking transaction, the system may not initiate an enforcement action.

A parking assistance method is provided. The method includes recognizing image features of a traffic line corresponding to a parking position of a vehicle. A category of the parking position of the vehicle is determined based on the image features of the traffic line. Once the vehicle is determined to be parking illegally based on the category of the parking position of the vehicle; a warning is issued.

A method for intelligently measuring vehicle speed based on a binocular stereo vision system includes: training a Single Shot Multibox Detector neural network to obtain a license plate recognition model; calibrating the binocular stereo vision system to acquire parameters of two cameras; detecting the license plates in the captured video frames with the license plate recognition model, locating the license plate position; performing feature point extraction and stereo matching by a feature-based matching algorithm; screening and eliminating the matching point pairs, and reserving the coordinates of the matching point pair closest to the license plate center; performing stereo measurement on the screened matching point pair to get the spatial coordinates of the position; calculating and obtaining the speed of the target vehicle. The present invention is easy to install and adjust, could simultaneously recognize multiple trained features automatically, and better suit the intelligent transportation networks and IoT (Internet of Things).

A vehicle abnormality monitoring method includes starting, by a vehicle, a monitoring device to record a first video when detecting an abnormal event; determining a roadside device in an area where the vehicle is located; and sending, to the roadside device, a monitoring request requesting the roadside device to record a second video of the abnormal event, where the first video and the second video are configured to trace the abnormal event.

A portable or affixed stop sign warning system which enforce stop sign violations through automated photo enforcement with the use of radar and camera technology and incase of any incidence record the event. The system includes a plurality of surface mounted RADAR, computer, camera and video camera which provide the stable, reliable and accurate information necessary, video monitoring, and incident detection. The multi-tracking radar tracks vehicle speed and position as it approaches the stop sign. The system will use the distance, speed over time, acceleration and retardation to capture and automatically validate a stop sign violation. The violation evidence includes but not limited to high-definition picture before the stop line, high-definition picture after the line, close up of the license plate, photos show the stop sign, time, date, speed, and location of incidence.

An information generation device includes: a measurement unit configured to obtain a plurality of measurement results by performing a measurement of a vehicle size with respect to a same traveling vehicle a plurality of times; a detection unit configured to detect an accuracy of each of the plurality of measurement results; and a determination unit configured to determine a vehicle size of the traveling vehicle from the plurality of measurement results on the basis of the accuracies.

A smart parking management system and a smart parking management method are provided. The system includes a first smart pole, multiple second smart poles, and a processing device. An image capturing range of the first smart pole covers an entrance of a road section. An image capturing range of each second smart pole covers at least a parking space of the road section. The processing device is communicatively coupled to the first smart pole and the second smart poles. The processing device identifies first vehicle information of a first vehicle entering the road section according to an image stream captured by the first smart pole, obtains a movement trajectory of the first vehicle in the road section based on the first vehicle information and an image stream captured by each second smart pole, and determines where the first vehicle is parked according to the movement trajectory.

A time-segmented signal timing method is related to the field of intelligent transportation. The specific implementation is: obtaining traffic volume data of a target intersection in each period of time of N consecutive days, N being an integer greater than 1; performing curve fitting on the traffic volume data to determine a traffic volume curve corresponding to the target intersection of each day; determining calculating respective target points in the traffic volume curve with second derivatives satisfying a preset condition; and performing time-segmented signal timing on a traffic light at the target intersection based on time points corresponding to the respective target points.

A computer-implemented method for assisted parking, an electronic device, and a storage medium are provided. The method for assisted parking includes: obtaining a set of images around a vehicle; determining environment information for the vehicle based on the set of images; obtaining location information associated with a target parking location according to the environment information; and sending the location information to provide such to a user terminal.

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.