The present invention is a method and system to verify carpool occupancy compliance for access to High Occupancy Vehicle (HOV) lanes, High Occupancy or Toll (HOT) lanes, or other vehicle-occupancy contingent rewards. The present invention uses software and hardware devices with radio-frequency transmitter modules to capture one or more photo images of vehicle occupants and to perform boxed headcounts of humans in any given photo frame. The present invention uses biometric signature detection to confirm the boxed headcounts and a realness algorithm to further confirm the genuineness of any human image. Occupancy compliance can be communicated directly to an appropriate regulatory body.

A knowledge base of cell information can be built and made available to one or more mobile devices. A mobile device with access to this cell information may proactively perform a radio signal scan at a frequency of an expected cell(s) that is/are indicated in the cell information (e.g., if the expected cell is associated with a serving cell and/or with a geolocation that corresponds to the current Global Positioning System (GPS) location of the mobile device). After performing the radio signal scan, the mobile device may store measurement information (e.g., signal strength) about the expected cell(s) in local memory of the mobile device, and, upon receiving an instruction from the serving cell, the mobile device may access the stored measurement information from its local memory, and may send the measurement information to the requesting serving cell.

A knowledge base of cell information can be built and made available to one or more mobile devices. A mobile device with access to this cell information may proactively perform a radio signal scan at a frequency of an expected cell(s) that is/are indicated in the cell information (e.g., if the expected cell is associated with a serving cell and/or with a geolocation that corresponds to the current Global Positioning System (GPS) location of the mobile device). After performing the radio signal scan, the mobile device may store measurement information (e.g., signal strength) about the expected cell(s) in local memory of the mobile device, and, upon receiving an instruction from the serving cell, the mobile device may access the stored measurement information from its local memory, and may send the measurement information to the requesting serving cell.

A mobile tracking system including an antenna, gimbal, and GPS subsystem. The mobile tracking system is operable with a plurality of models of gimbal and can automatically determine gimbal parameters based upon a detected model. This allows for plug and play of several gimbal models without the need for further input provided by a user. The mobile tracking system can also identify positional information for the system itself as well as for a tracked node, and can provide gimbal pan/tilt instructions based upon both. This allows for accurate tracking in an environment where the MTS itself is moving.

A mobile tracking system including an antenna, gimbal, and GPS subsystem. The mobile tracking system is operable with a plurality of models of gimbal and can automatically determine gimbal parameters based upon a detected model. This allows for plug and play of several gimbal models without the need for further input provided by a user. The mobile tracking system can also identify positional information for the system itself as well as for a tracked node, and can provide gimbal pan/tilt instructions based upon both. This allows for accurate tracking in an environment where the MTS itself is moving.

The disclosure relates to a method for GNSS-based localization of a vehicle, comprising at least the following steps: a) receiving GNSS-satellite signals from GNSS satellites and determining at least one item of distance information about the distance between the vehicle and the GNSS satellite emitting the relevant GNSS-satellite signal, b) determining at least one item of environmental information about the environment around the vehicle using image information determined using at least one environment sensor of the vehicle, which is capable of capturing images of at least part of the environment around the vehicle from different perspectives, c) determining at least one item of correction information using the at least one environmental information item, and d) correcting the at least one distance information item by means of the at least one correction information item.

The disclosure relates to a method for GNSS-based localization of a vehicle, comprising at least the following steps: a) receiving GNSS-satellite signals from GNSS satellites and determining at least one item of distance information about the distance between the vehicle and the GNSS satellite emitting the relevant GNSS-satellite signal, b) determining at least one item of environmental information about the environment around the vehicle using image information determined using at least one environment sensor of the vehicle, which is capable of capturing images of at least part of the environment around the vehicle from different perspectives, c) determining at least one item of correction information using the at least one environmental information item, and d) correcting the at least one distance information item by means of the at least one correction information item.

Embodiments of this application disclose a picture processing method, including: when a copy instruction is detected, obtaining positioning information included in a picture; modifying the positioning information in a preset information modification manner; and copying the picture whose positioning information is modified. The embodiments of this application further disclose a picture processing apparatus, a device, and a storage medium. According to the embodiments of this application, user privacy can be better protected, and information security can be improved.

Embodiments of this application disclose a picture processing method, including: when a copy instruction is detected, obtaining positioning information included in a picture; modifying the positioning information in a preset information modification manner; and copying the picture whose positioning information is modified. The embodiments of this application further disclose a picture processing apparatus, a device, and a storage medium. According to the embodiments of this application, user privacy can be better protected, and information security can be improved.

System for creating a surroundings model of a motor vehicle, which is or can be connected with: at least one navigation unit, which is equipped to provide information about the instantaneous position of the vehicle and information about at least one segment of road in front of the vehicle in time and space, wherein the navigation unit provides the information in a digital map format and/or in absolute position information, at least one interface, which is equipped to communicate with at least one object to be merged in the surroundings of the vehicle, wherein the information received by the interface includes absolute position information on the at least one object to be merged, and/or at least one sensor unit, which is equipped to detect at least one object to be merged in the surroundings of the vehicle, wherein the at least one sensor unit is additionally equipped to provide relative position information on the at least one object to be merged relative to the vehicle, wherein the system is equipped to ascertain the geometry of a segment of road in front of the vehicle by using the information supplied by the at least one navigation unit about the segment of road in front of the vehicle, wherein the system is equipped to merge the absolute position information and/or the relative position information on the at least one object to be merged with information provided by the at least one navigation unit in the digital map format to create a vehicle surroundings model based on the geometry of the road thereby ascertained.