In a system for adaptively providing auxiliary driving information, a processing unit, which is installed in a vehicle, acquires traffic sign(s) from vehicle driving images, and determines whether a driver of the vehicle is familiar with a current road section, and whether the driver has good driving habits. Based on the determinations and reference information that is related to a traffic violation history and/or a dangerous situation of the current road section, the processing unit selects prompt object(s) from the traffic sign(s), and determines a prompt order of the prompt object(s). Then, the processing unit causes an output module to perceivably output the prompt objects in the prompt order.

In a system for adaptively providing auxiliary driving information, a processing unit, which is installed in a vehicle, acquires traffic sign(s) from vehicle driving images, and determines whether a driver of the vehicle is familiar with a current road section, and whether the driver has good driving habits. Based on the determinations and reference information that is related to a traffic violation history and/or a dangerous situation of the current road section, the processing unit selects prompt object(s) from the traffic sign(s), and determines a prompt order of the prompt object(s). Then, the processing unit causes an output module to perceivably output the prompt objects in the prompt order.

Disclosed herein is a handheld speed gun incorporating automatic number plate recognition (ANPR) functionality. As the image size of a vehicle license plate varies depending on its distance from the speed gun, in the present invention the distance to the target vehicle is known through the functionality of the laser sensor so the size of the pixels for the number plate can be estimated. Since the image of the number plate may be tilted in a handheld device, the present invention compensates for this by use of the instrument's tilt sensor or through other compensation by use of the image itself.

Disclosed herein is a handheld speed gun incorporating automatic number plate recognition (ANPR) functionality. As the image size of a vehicle license plate varies depending on its distance from the speed gun, in the present invention the distance to the target vehicle is known through the functionality of the laser sensor so the size of the pixels for the number plate can be estimated. Since the image of the number plate may be tilted in a handheld device, the present invention compensates for this by use of the instrument's tilt sensor or through other compensation by use of the image itself.

A traffic monitoring assembly includes a roof rack that is mountable to a roof of a vehicle. A global positioning system transceiver is attached to the roof rack to receive global positioning system coordinates of the vehicle. A laser sensor is attached to the roof rack for detecting the distance between the vehicle and adjacent traffic vehicles traveling on the same roadway as the vehicle. An ultrasonic sensor is attached to the roof rack to capture ultrasonic sound waves reflected from objects near the vehicle. A camera is attached to the roof rack to capture imagery of the environment surrounding the vehicle. A radar sensor is coupled to the roof rack to emit a radar signal for detecting the speed of adjacent traffic vehicles travelling on the same roadway as the vehicle.

The present disclosure provides an information processing apparatus, an information processing system, an information processing method, and a program that are capable of promoting the improvement of an environment for performing processing using desired video image data about a traffic state. The information processing apparatus (1) includes: a camera video image acquisition unit (2) configured to acquire video image data from a camera configured to shoot a traffic state; and a remuneration determination unit (3) configured to determine a remuneration for provision of an environment for the camera video image acquisition unit (2) to acquire the video image data based on a feature of the camera.

An apparatus for indicating an expected speed of a vehicle includes an information provider configured to provide vehicle driving information and deceleration event information required to determine the expected speed of the vehicle at a deceleration event point while the vehicle travels, a controller configured to detect a deceleration event on a travel path based on the vehicle driving information and the deceleration event information provided by the information provider and to determine the expected speed of the vehicle at the detected deceleration event point, and a display unit configured to receive a signal indicating the expected speed of the vehicle at the deceleration event point and the deceleration event information from the controller and to display the received expected speed of the vehicle in a predetermined form of an augmented reality (AR) image and a position of the deceleration event on an information display screen.

An apparatus for indicating an expected speed of a vehicle includes an information provider configured to provide vehicle driving information and deceleration event information required to determine the expected speed of the vehicle at a deceleration event point while the vehicle travels, a controller configured to detect a deceleration event on a travel path based on the vehicle driving information and the deceleration event information provided by the information provider and to determine the expected speed of the vehicle at the detected deceleration event point, and a display unit configured to receive a signal indicating the expected speed of the vehicle at the deceleration event point and the deceleration event information from the controller and to display the received expected speed of the vehicle in a predetermined form of an augmented reality (AR) image and a position of the deceleration event on an information display screen.

A method for predicting traffic light information by using a LIDAR is provided. The method includes steps of: (a) on condition that each of metadata has been allocated for each of virtual boxes included in a region covered by the LIDAR, obtaining, by a server, at least part of start timing information and stop timing information of a plurality of vehicles for each of the virtual boxes; and (b) predicting, by the server, each of pieces of the traffic light information respectively corresponding to each of the virtual boxes by referring to at least part of the start timing information and the stop timing information of the vehicles for each of the virtual boxes.

A method for detecting an infringement by vehicle operator is described. The method comprises detecting a vehicle; receiving one or more image of at least a part of the vehicle operator; automatically analysing with a neural network the one or more captured received image to detect an infringing act; and providing the one or more captured received images comprising the detected infringing act to thereby detect the infringement. Also described are a system, a device, a computer system and a computer program product all for detecting an infringement by a vehicle operator. The device may comprise one or more flash for illuminating the vehicle or a part thereof with light at a narrow band and one or more camera comprising a narrow band filter that lets through only the wavelengths of light produced by the one or more flash.