Mobile wireless terminals, such as vehicles in traffic, can determine the relative positions of other vehicles with improved precision by arranging to acquire GNSS (global navigational satellite system) signals simultaneously, and then analyzing the various data sets differentially. Simultaneous acquisition can cancel many important errors such as motional errors of the vehicles, atmospheric distortions, and satellite timebase errors. Differential analysis to determine the relative positions of vehicles (as opposed to their overall geographical coordinates) can reduce errors related to satellite ephemeris and velocity, as well as roundoff errors. Localization with a precision of less than 1 meter can greatly improve collision avoidance while discriminating near-miss scenarios from imminent collisions, according to some embodiments. Messaging examples, in 5G and 6G, to manage the simultaneous acquisition and differential analysis, are provided in examples. Many other aspects are disclosed.

Mobile wireless terminals, such as vehicles in traffic, can determine the relative positions of other vehicles with improved precision by arranging to acquire GNSS (global navigational satellite system) signals simultaneously, and then analyzing the various data sets differentially. Simultaneous acquisition can cancel many important errors such as motional errors of the vehicles, atmospheric distortions, and satellite timebase errors. Differential analysis to determine the relative positions of vehicles (as opposed to their overall geographical coordinates) can reduce errors related to satellite ephemeris and velocity, as well as roundoff errors. Localization with a precision of less than 1 meter can greatly improve collision avoidance while discriminating near-miss scenarios from imminent collisions, according to some embodiments. Messaging examples, in 5G and 6G, to manage the simultaneous acquisition and differential analysis, are provided in examples. Many other aspects are disclosed.

A device can receive parking metadata that includes location data indicating that a portion of a vehicle is located outside of a designated parking area (DPA). The device can process the parking metadata to identify values that are to be used when determining actions to perform. The device can obtain supplemental events data associated with events occurring near the DPA. The device can determine the actions to perform based on the parking metadata and the supplemental events data. The device can provide, as one of the actions and to one or more other devices or to the vehicle, a message indicating that the portion of the vehicle is located outside of the DPA. This can cause the one or more other devices or the vehicle to: move the vehicle from the DPA, reposition the vehicle within the DPA, or penalize an owner of the vehicle.

A device can receive parking metadata that includes location data indicating that a portion of a vehicle is located outside of a designated parking area (DPA). The device can process the parking metadata to identify values that are to be used when determining actions to perform. The device can obtain supplemental events data associated with events occurring near the DPA. The device can determine the actions to perform based on the parking metadata and the supplemental events data. The device can provide, as one of the actions and to one or more other devices or to the vehicle, a message indicating that the portion of the vehicle is located outside of the DPA. This can cause the one or more other devices or the vehicle to: move the vehicle from the DPA, reposition the vehicle within the DPA, or penalize an owner of the vehicle.

A parking management system includes a guide robot disposed in a parking space provided with a plurality of parking areas, the guide robot being configured to be matched with a vehicle entering the parking space and to be driven ahead of the matched vehicle to guide the matched vehicle to an allocated parking area, and a management server configured to recognize the vehicle entering the parking space, to match the recognized vehicle with the guide robot, to monitor the parking space to identify a parking status of each of the parking areas, to allocate a parking area to the matched vehicle based on the identified parking status, and to control the guide robot to be driven to the allocated parking area.

Methods for improving compliance with regulations pertaining to vehicle driving records are disclosed. One or more digital images from a camera mounted in a vehicle are received. Based on a determination that the vehicle has hours of service that have not been assigned to a driver, a subset of the one or more digital images corresponding to the hours of service are identified based on the timestamps. The subset of the one or more digital images are processed to identify a correspondence between a face of a person included in the one or more digital images and a face of a known person. Based on the correspondence transgressing a threshold level of correspondence, a user interface is generated for presentation on a device. The user interface includes an interactive user interface element for accepting a recommendation to assign the known person as the driver for the unassigned hours of service.

An image capturing method and apparatus, an electronic photography device and a computer-readable storage medium are provided. The image capturing method includes: in a snapshot mode, performing image acquisition at a first frame rate and buffering an acquired first captured image; in a live mode, acquiring a second captured image at a second frame rate, where the second frame rate is less than the first frame rate; and processing the buffered first captured image and the second captured image at the second frame rate.

A system and method for determining a traffic sign violation are provided. The method may include obtaining a traffic rule corresponding to the traffic sign. The method may further include acquiring, by at least one camera, video data associated with a scene around a traffic sign. The video data may include a series of frames. The method may further include identifying the vehicle in the series of frames and determining whether the vehicle violates the traffic rule based on the series of frames. In response to the determination that the vehicle violates the traffic rule, the method may further include obtaining information of the vehicle and transmitting the information of the vehicle to a server.

The present invention relates to a detection area setting method for detecting passing vehicles, and a traffic signal control method using the same and, more particularly, to a detection area setting method for detecting passing vehicles, and a traffic signal control method using the same, the detection area setting method being capable of enabling smooth traffic operation at a crossroad, for example preventing a spillback phenomenon, minimizing green time (green light display time) during which there are no passing vehicles, and extending the green time, if needed, by setting one or a plurality of detection areas at a crossroad so as to detect the traffic volume in respective moving directions of vehicles at a signalized intersection, determining the traffic state in the moving directions of the vehicles according to vehicle information in respective detection areas, and automatically controlling the crossroad signals accordingly.

The present invention relates to a detection area setting method for detecting passing vehicles, and a traffic signal control method using the same and, more particularly, to a detection area setting method for detecting passing vehicles, and a traffic signal control method using the same, the detection area setting method being capable of enabling smooth traffic operation at a crossroad, for example preventing a spillback phenomenon, minimizing green time (green light display time) during which there are no passing vehicles, and extending the green time, if needed, by setting one or a plurality of detection areas at a crossroad so as to detect the traffic volume in respective moving directions of vehicles at a signalized intersection, determining the traffic state in the moving directions of the vehicles according to vehicle information in respective detection areas, and automatically controlling the crossroad signals accordingly.