Methods for vehicle data collection by image analysis are provided. An example method involves positioning a camera in a vehicle to be pointed toward a field of interest in the vehicle, capturing an image of the field of interest with the camera, identifying a region of interest in the image that is expected to convey vehicle information, and running an image processing model over the region of interest to extract vehicle information from the image.

A system and method for computer assisted event based reconstruction and forensic analysis of vehicle accidents is provided. The system comprises an event capture device that records audio, video, and other information that collectively comprise one or more events related to a vehicle accident. The event data, including the audio, video, and other related information, is provided to an evaluation server where it is stored in a database for forensic analysis of the events comprising the vehicle accident. Event data for a specific automobile accident event is analyzed and compared to similar types of automobile accident event data in order to forensically analyze the specific event and correlate causal relationships with key elements of the event data to determine the likely cause of the accident or the factors contributing to the accident. Correlation information is also stored at the evaluation server to provide historical data points about causal relationships and key elements.

A dashboard camera according to one aspect of this embodiment includes: an event detection unit configured to detect an event that has occurred in an own vehicle; an imaging control unit configured to switch, when the event has been detected by the event detection unit, imaging conditions of an imaging apparatus that captures images of an area including the interior of the vehicle from imaging conditions appropriate for the environment inside the vehicle to imaging conditions appropriate for the environment outside the vehicle; and a recording control unit configured to cause a recording apparatus to record the video images captured by the imaging apparatus.

A communication system includes: a determination section that determines occurrence of an event; and a communication control section that relays between a first communication network communicating with an external communication apparatus and a second communication network communicating with a mobile communication terminal. The communication control section sets a control target of a communication volume of at least one of a first communication and a second communication among communications via the first communication network, based on a result of determination of occurrence of the event. The first communication is performed through other processing than relaying processing, and the second communication is performed through the relaying processing.

The vehicle traveling information recording device of the present invention comprises a camera unit for acquiring image information relating to outside of a vehicle; a recording unit for recording the image information from the camera unit; an abnormality detection unit for detecting an abnormal vehicle state; an auxiliary data detection unit for acquiring auxiliary data when the abnormality detection unit has detected an abnormality; and a control unit for combining the auxiliary data with the image information in the recording unit when the abnormality detection unit has detected the abnormality, and recording image information after the combination related to abnormality detection.

A data logging system for logging input data received from a data source is described. The data logging system has a data storage memory. A data input is arranged to repeatedly receive input data having a temporal input data resolution. A write controller is arranged to write newly received input data as received via the data input into the data storage memory. The writing comprises writing the newly received input data at the temporal input data resolution. The writing comprises keeping recent data at the temporal input data resolution in the data storage memory, and overwriting part of old data with newly received input data while keeping another part of the old data in the data storage memory at lower data resolution.

The disclosed video processing device contains: a video acquisition unit that acquires surroundings information including video taken of the surroundings of a vehicle; a line-of-sight acquisition unit that acquires the origin and direction of the line of sight of the driver of the aforementioned vehicle; a line-of-sight video generation unit which generates, from the surroundings information, line-of-sight video corresponding to the origin of the line of sight; a blocking-information computation unit that computes, on the basis of the origin of the line of sight, blocking information including video or a region of the body of the aforementioned vehicle that blocks the driver's line of sight; and a display-video generation unit that generates display video on the basis of the line-of-sight video and the blocking information.

Systems and methods for training image processing models for vehicle data collection by image analysis are provided. An example method involves accessing an image of a field of interest in a vehicle captured by a camera in the vehicle, providing a user interface to, display the image, receive input that defines a region of interest in the image that is expected to convey vehicle information, and receive input that assigns a label to the region of interest that associates the region of interest with an image processing model that is to be trained to extract a type of vehicle information from the region of interest, and contributing the image, labelled with the region of interest and the label associating the region of interest to the image processing model, to a training data library to train the image processing model.

Aspects of the disclosure relate to dynamic driving metric output platforms that utilize improved computer vision methods to determine vehicle metrics from video footage. A computing platform may receive video footage from a vehicle camera. The computing platform may determine that a reference marker in the video footage has reached a beginning and an end of a road marker based on brightness transitions, and may insert time stamps into the video accordingly. Based on the time stamps, the computing platform may determine an amount of time during which the reference marker covered the road marking. Based on a known length of the road marking and the amount of time during which the reference marker covered the road marking, the computing platform may determine a vehicle speed. The computing platform may generate driving metric output information, based on the vehicle speed, which may be displayed by an accident analysis platform. Based on known dimensions of pavement markings the computing platform may obtain the parameters of the camera (e.g., focal length, camera height above ground plane and camera tilt angle) used to generate the video footage and use the camera parameters to determine the distance between the camera and any object in the video footage.

The present disclosure relates to a charging pile control system which comprises at least one video monitoring device configured to collect images or video data in a monitoring scope, parse the collected images or video data, and transmit the parsed images or video data to a multi-functional charging pile, the monitoring scope covering at least one parking space and its surrounding area; and a multi-functional charging pile configured to receive the images or video data transmitted by the at least one video monitoring device, analyze according to the images or video data to obtain a position of an electric vehicle entering the monitoring scope relative to an idle parking space among the at least one parking space, and controls the electric vehicle to implement automatic parking. The present disclosure further relates to relevant multi-functional charging pile and electric vehicle.