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.

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.

An unmanned ground vehicle (UGV) includes one or more motors configured to drive one or more wheels of the UGV, a memory storing instructions, and a processor coupled to the one or more motors and the memory. The processor is configured to execute the instructions to cause the UGV to determine location information of a movable target; calculate a direction and a speed for the unmanned ground vehicle based on the determined location information; and drive the one or more motors to move the unmanned ground vehicle in the calculated direction at the calculated speed to follow the movable target when the movable target moves.

An unmanned ground vehicle (UGV) includes one or more motors configured to drive one or more wheels of the UGV, a memory storing instructions, and a processor coupled to the one or more motors and the memory. The processor is configured to execute the instructions to cause the UGV to determine location information of a movable target; calculate a direction and a speed for the unmanned ground vehicle based on the determined location information; and drive the one or more motors to move the unmanned ground vehicle in the calculated direction at the calculated speed to follow the movable target when the movable target moves.

Apparatus and methods related providing city services, such as parking, are described. Methods and apparatus for providing parking rewards programs are described. The methods and apparatus can include maintaining accounts for participants in the rewards program, tracking purchases of parking and other participant activities and determining parking awards based upon the activities. The parking rewards programs can be used to incentivize behaviors that balance the use of the parking space commodity according to the needs of different stakeholders, such as the city, residents, merchants and visitors. For example, parking awards and the criteria used for earning awards can be used to encourage particular behaviors while a parking space is being utilized, such as shopping, the use of public transportation or efficient trip planning.

Apparatus and methods related providing city services, such as parking, are described. Methods and apparatus for providing parking rewards programs are described. The methods and apparatus can include maintaining accounts for participants in the rewards program, tracking purchases of parking and other participant activities and determining parking awards based upon the activities. The parking rewards programs can be used to incentivize behaviors that balance the use of the parking space commodity according to the needs of different stakeholders, such as the city, residents, merchants and visitors. For example, parking awards and the criteria used for earning awards can be used to encourage particular behaviors while a parking space is being utilized, such as shopping, the use of public transportation or efficient trip planning.

An information provision device transmits, by near field communication, fixed phrase information, of guidance information that guides a user, representative of a fixed phrase and insertion phrase information selected from among a plurality of pieces of insertion phrase information representative of different insertion phrases to be inserted in the fixed phrase, to a terminal device capable of presenting, to the user, presentation information corresponding to the guidance information where the insertion phrase represented by the insertion phrase information is inserted in the fixed phrase represented by the fixed phrase information.

A method and system for identifying demand in a transportation system. A boarding count model is determined based upon passenger arrival information, and a geographic and time-specific generalized boarding model is determined based upon the boarding count model as well as information related to a plurality of stops on a route in the transportation system. For each of the plurality of stops, an approximated uniform arrival model is determined based upon the generalized arrival model and a time period between arriving vehicles at a specific stop, an instantaneous demand model is determined based upon the uniform arrival model, and a probability of no demand model is determined based upon the uniform arrival model. A report including the instantaneous demand and the probability of no demand determined can be generated. Based upon the report, various operational parameters for the transportation system can be manually or automatically adjusted.

A method and system for identifying demand in a transportation system. A boarding count model is determined based upon passenger arrival information, and a geographic and time-specific generalized boarding model is determined based upon the boarding count model as well as information related to a plurality of stops on a route in the transportation system. For each of the plurality of stops, an approximated uniform arrival model is determined based upon the generalized arrival model and a time period between arriving vehicles at a specific stop, an instantaneous demand model is determined based upon the uniform arrival model, and a probability of no demand model is determined based upon the uniform arrival model. A report including the instantaneous demand and the probability of no demand determined can be generated. Based upon the report, various operational parameters for the transportation system can be manually or automatically adjusted.

Cooperative advanced driving assistance systems (ADAS) and cooperative safety systems using vehicle-to-everything (V2X) communications and methods of use. A method may comprise, by a guiding vehicle, periodically identifying an error of a nearby connected road-user and if an error is identified, transmitting a guidance message with guidance data using V2X communications to the connected road-user; and by the connected road-user as a guided road-user, using the guidance data to fix the error.