A traffic information processing equipment, system and method. The traffic information processing equipment includes an image recognition and decision device and a warning device. The image recognition and decision device is configured to process a received traffic route image to identify a scene, and determine whether to perform a warning operation according to the scene to obtain a determination result. The warning device is configured to generate warning information according to the determination result for sending prompt information to vehicles in a traffic route.

According to an embodiment, a method for providing a smart parking space guide service to provide a real-time moving route and occupancy state is executed by a parking space guide service provider server and comprises starting to trace a vehicle's moving route upon receiving the vehicle's entry event from an entry recognition device for recognizing entry of the vehicle into a parking lot, updating, in real-time, the vehicle's moving route upon real-time entry of the vehicle's moving route from at least one movement recognition device, displaying occupancy by the vehicle's parking on a pre-stored parking spot map upon sensing the vehicle's parking state from any one of at least one vehicle recognition sensor installed in at least one parking spot, and updating, in real-time, and displaying the vehicle's moving route and occupancy state on the pre-stored parking spot map.

A traffic control system for an automatic driving vehicle includes a vehicle control system and a management and control system. The management and control system collects snow removal information by a snow removal information collector, and calculates traveling environment information of the snow-removed area by a snow-removed area traveling environment information calculator. The vehicle control system performs, by a first automatic driving controller, first automatic driving control that is made redundant by a control system based on map information and location information and by a control system based on external environment recognition information. The vehicle control system performs, by a second automatic driving controller, second automatic driving control that is made redundant by a control system based on the location information and the map information corrected using the traveling environment information of the snow-removed area and by a control system based on the external environment recognition information.

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 control apparatus includes a risk area identification unit for identifying a risk area outside a movable object with respect to a movement of the movable object based on an image captured by an image capturing apparatus mounted on the movable object, and a transmission control unit for performing control to transmit risk area information including position information of the risk area, and precision information related to a calculation precision of the position information to an outside of the movable object without designating a destination, wherein the transmission control unit transmits the position information and the precision information to cause a terminal having received the position information and the precision information to determine whether a position thereof corresponds to an inside of the risk area, and cause an alert unit included in the terminal to output an alert when it is determined that the terminal is inside the risk area.

An information processing apparatus capable of communicating with a vehicle includes a control unit and a communication unit. The control unit is configured to acquire, from the vehicle via the communication unit, vehicle information including at least one of open-close information of a door of the vehicle and location information of the vehicle, and determine a personality of a driver of the vehicle based on the vehicle information.

An information processing apparatus capable of communicating with a vehicle includes a control unit and a communication unit. The control unit is configured to acquire, from the vehicle via the communication unit, vehicle information including at least one of open-close information of a door of the vehicle and location information of the vehicle, and determine a personality of a driver of the vehicle based on the vehicle information.

Devices and methods for improving the flow of traffic at an intersection are disclosed, such as a traffic light assistance system comprising a light emitter, a light-directing device, a vehicle sensor, a traffic signal detector, and a control unit. The traffic light assistance system can be configured to detect a vehicle and direct projected light toward said vehicle to indicate a change of status of a traffic light. Such devices and methods can alert an operator of a vehicle to a change of status of a traffic light, such as a traffic signal turning green, and indicating that the operator should accelerate the vehicle. By providing means to alert otherwise distracted or inattentive drivers, time spent in traffic can be reduced.

Technologies for managing a world model of a monitored area includes a roadway server configured to receive LIDAR sensing data from a LIDAR sensing system positioned to monitor the monitored area and generate a world map of the monitored area based on the LIDAR sensing data. The world model includes data that identifies objects located in the monitored area. The roadway server may distribute the world model to automated vehicles traveling through the monitored area via a stream or in response to directed requests. The roadway server may also receive sensor data from the automated vehicles, which may be used to generate the world model. The roadway server may distribute the world model to other interested devices located in or near the monitored area.

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.