The present disclosure relates to an information processing device and method, and a program that enable processing corresponding to a recognition result with respect to a license plate of a vehicle.

On the basis of a recognition result with respect to a license plate of a vehicle in a captured image, characteristic information of the vehicle is extracted from the captured image, and processing corresponding to the extracted characteristic information of the vehicle is performed. The present disclosure can be applied to, for example, an information processing device, an image processing device, a communication device, an electronic apparatus, an information processing method, a program, or the like.

The present disclosure relates to an information processing device and method, and a program that enable processing corresponding to a recognition result with respect to a license plate of a vehicle.

On the basis of a recognition result with respect to a license plate of a vehicle in a captured image, characteristic information of the vehicle is extracted from the captured image, and processing corresponding to the extracted characteristic information of the vehicle is performed. The present disclosure can be applied to, for example, an information processing device, an image processing device, a communication device, an electronic apparatus, an information processing method, a program, or the like.

The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the driving tasks such as car following, lane changing, and route guidance. IRIS systems and methods also manage transportation operations and management services for both freeways and urban arterials. In some embodiments, the IRIS comprises or consists of one of more of the following physical subsystems: (1) Roadside unit (RSU) network, (2) Traffic Control Unit (TCU) and Traffic Control Center (TCC) network, (3) vehicle onboard unit (OBU), (4) traffic operations centers (TOCs), and (5) cloud information and computing services. The IRIS manages one or more of the following function categories: sensing, transportation behavior prediction and management, planning and decision making, and vehicle control. IRIS is supported by real-time wired and/or wireless communication, power supply networks, and cyber safety and security services.

Electronic devices and methods for recognizing driving behavior are provided. The electronic devices may perform the methods to obtain first electronic signals encoding movement data associated with the electronic device from the at least one sensor at a target time point; operate logic circuits to determine whether the first electronic signals encoding movement data meets a precondition; and upon the first electronic signals encoding movement data meeting the precondition, send second electronic signals encoding movement data within a predetermined time period associated with the target time point to a remote server.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring a dedicated roadway the runs in parallel to a railroad. In some implementations, a system includes a central server, an interface, and sensors. The interface receives data from a railroad system that manages the railroad parallel to the dedicated roadway. The sensors are positioned in a fixed location relative to the dedicated roadway. Each sensor can detect vehicles in a first field of view on the dedicated roadway. For each detected vehicle, each sensor can generate sensor data based on the detected vehicle in the dedicated roadway and the data received at the interface. Each sensor can generate observational data and instruct the detected vehicle to switch to an enhanced processing mode. Each sensor can determine an action for the detected vehicle to take based on the generated observational data.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring a dedicated roadway the runs in parallel to a railroad. In some implementations, a system includes a central server, an interface, and sensors. The interface receives data from a railroad system that manages the railroad parallel to the dedicated roadway. The sensors are positioned in a fixed location relative to the dedicated roadway. Each sensor can detect vehicles in a first field of view on the dedicated roadway. For each detected vehicle, each sensor can generate sensor data based on the detected vehicle in the dedicated roadway and the data received at the interface. Each sensor can generate observational data and instruct the detected vehicle to switch to an enhanced processing mode. Each sensor can determine an action for the detected vehicle to take based on the generated observational data.

A system and a method for automatically tracking location of a vehicle by receiving a plurality of feature vectors transmitted from a plurality of stationary sensors installed along a road. The feature vectors are related to a plurality of vehicles which are in a range of detection of the plurality of the stationary sensors. The method may include clustering a group of feature vectors from the plurality of feature vectors to a monitored vehicle based on a predetermined driving model, determining parameters of the monitored vehicle, calculating a next expected location of the monitored vehicle, receiving a feature vector, matching the feature vector to the monitored vehicle and tracking a trajectory of the monitored vehicle.

This disclosure discloses a vehicle scheduling method, apparatus and system, and relates to the field of scheduling. The method includes acquiring image information of each area; determining vehicle density information in each area according to the image information; configuring a first path cost corresponding to the path of each area according to the vehicle density information in each area; calculating a path value corresponding to each planning path among a plurality of planning paths from the starting position to at least one target position for a target vehicle, according to the first path cost configured for the path of each area; and determining an optimal planning path of the target vehicle by taking a minimum path value as a target.

A parking guidance system includes a parking guidance device that sets a position of a parking area in a distribution hub and generates a travel path to the parking area and an autonomous vehicle that controls movement of the autonomous vehicle to the position of the parking area set by the parking guidance device.

A parking guidance system includes a parking guidance device that sets a position of a parking area in a distribution hub and generates a travel path to the parking area and an autonomous vehicle that controls movement of the autonomous vehicle to the position of the parking area set by the parking guidance device.