A vehicle recognition unit of an information presenting device specifies a position of each of a plurality of vehicles, based on images captured by a plurality of imaging devices installed at a construction site. A vehicle designating unit receives designation of a designated vehicle, among the plurality of specified vehicles. A display control unit outputs a signal for displaying in an overlapping manner a proximity plot representing a position of another vehicle whose distance from the designated vehicle is less than a threshold on an overhead image of the construction site.

A method for selecting a keyframe based on a motion state includes: sequentially storing several groups of adjacent images in a key frame sequence; extracting feature points from the images, and sequentially matching the feature point of an i.sup.th image with the feature points of the subsequent images until the number of matched feature points reaches a preset threshold value, to form a new key frame sequence; calculating a fundamental matrix between adjacent frames in the new key frame sequence, decomposing the fundamental matrix into a rotation matrix and a translation vector aa, and decomposing the non-singular rotation matrix according to coordinate axis directions to obtain a deflection angle of each coordinate axis; and comparing the deflection angle with a predetermined threshold value, selecting a current frame having the deflection angle greater than the threshold value as a key frame, and adding same to a final key frame sequence.

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.

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.

A drive-through treatment system for a drive-through clinic includes: a plurality of monitoring devices positioned at an inlet of a plurality of treatment lines; a plurality of treatment devices positioned on a plurality of medical shelters in each of the plurality of treatment lines; a plurality of outlet devices positioned at an outlet of the plurality of treatment lines; and a treatment line determining device for determining a treatment line into which a target vehicle to enter the drive-through clinic will enter among the plurality of treatment lines based on information received from a plurality of monitoring devices and a plurality of outlet devices. Each of the plurality of monitoring devices may check a treatment start, a treatment progress situation, and a treatment speed of vehicles that have entered the treatment line from the inlet of the corresponding treatment line to be transmitted to the treatment line determining device.

A drive-through treatment system for a drive-through clinic includes: a plurality of monitoring devices positioned at an inlet of a plurality of treatment lines; a plurality of treatment devices positioned on a plurality of medical shelters in each of the plurality of treatment lines; a plurality of outlet devices positioned at an outlet of the plurality of treatment lines; and a treatment line determining device for determining a treatment line into which a target vehicle to enter the drive-through clinic will enter among the plurality of treatment lines based on information received from a plurality of monitoring devices and a plurality of outlet devices. Each of the plurality of monitoring devices may check a treatment start, a treatment progress situation, and a treatment speed of vehicles that have entered the treatment line from the inlet of the corresponding treatment line to be transmitted to the treatment line determining device.

Systems and methods for detecting or predicting potential collisions between vehicles are provided. The systems and methods may receive sensor output indicative of a location, a heading, and/or a moving speed of a first vehicle and/or a second vehicle. The systems and methods may predict a collision between the vehicles at an intersection between routes based on the received sensor output. The systems and methods may change movement of the first vehicle and/or the second vehicle responsive to predicting the collision.

Systems and methods for detecting or predicting potential collisions between vehicles are provided. The systems and methods may receive sensor output indicative of a location, a heading, and/or a moving speed of a first vehicle and/or a second vehicle. The systems and methods may predict a collision between the vehicles at an intersection between routes based on the received sensor output. The systems and methods may change movement of the first vehicle and/or the second vehicle responsive to predicting the collision.

A method and an apparatus for controlling personal mobility device (PMD) depending on congestion includes identifying a target area according to an expected route of the PMD, acquiring a degree of congestion of the target area based on at least one of a type of objects, a movement of the objects, a distance between objects, the number of objects that is expected, and a speed limit of the target area, and controlling speed of the PMD according to the degree of congestion.

Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.