A work screen display system including a position information obtaining unit for obtaining position information on a work vehicle based on positioning correction information supplied from a first reference station; a region shape determination unit for determining a shape of a specific region where the work vehicle performs autonomous travel, based on positioning correction information supplied from a second reference station; and a display control unit for displaying, on a display unit, a specific region indication section indicating the specific region determined by the region shape determination unit. The display control unit displays the specific region indication section in a display mode that varies between a case where the first and second reference stations are identical and a case where the first and second reference stations are not identical.

A concentration degree determination device includes: a monitoring data acquisition unit configured to acquire monitoring data from a sensor that monitors a driver of a vehicle; a concentration degree estimator configured to estimate a first driving concentration degree of the driver from the monitoring data based on at least one index constituting a first index group when a driving mode is automatic, and to estimate a second driving concentration degree of the driver from the monitoring data based on at least one index constituting a second index group when the driving mode is manual; a reference comparator configured to compare the first driving concentration degree or the second driving concentration degree to a reference; and a signal output unit configured to output an instruction signal instructing performance of support to the driver when the first driving concentration degree or the second driving concentration degree does not satisfy the reference.

One way to improve fuel efficiency of a vehicle is to detect the vehicle operational shortcomings related to fuel consumption by determining whether fuel used during operation of the vehicle is normal fuel use or wasted fuel use. Considerations of idling, speeding and inappropriate gear shifts are some ways to measure the amount of fuel wasted due to operator shortcomings. Communicating this information to the operator in real-time so adjustments can be made will improve vehicle fuel efficiency. These techniques are applicable to tracking employment of other driving best practices as well.

Disclosed are a driver assistance apparatus and a control method for the same. The driver assistance apparatus includes at least one camera configured to generate a main image by capturing an image of a periphery of a vehicle, a communication unit configured to receive a plurality of sub images generated by at least one other vehicle, and a processor configured to: select at least one of the sub images based on a predetermined condition or user input; and to generate an expanded image using the main image and the selected sub image.

A surrounding area monitoring apparatus receives visual field information about a driver of a surrounding vehicle of a self vehicle, and decides whether the self vehicle is outside the visual field of the surrounding vehicle or not in accordance with the visual field information. Accordingly, it can learn the present dynamic visual field range of the driver of the surrounding vehicle actually traveling around the self vehicle, and obtain more accurate visual field range. Thus, it can appropriately give information that is really necessary and suppress giving unnecessary information.

A vehicle system to assist a driver during a potential passing event of a passing vehicle includes a transceiver and a display. A passing assist module in communication with the transceiver and the display is configured to cause the transceiver to establish a wireless connection with a remote transceiver of a target vehicle and to receive a remote video signal from a camera and the remote transceiver associated with the target vehicle and cause the display of the passing vehicle to output at least one of a video signal and an image based on the remote video signal from the target vehicle.

The present disclosure relates to systems and methods for providing various types of information to a vehicle driver. Such information can be used by the vehicle driver singularly or in conjunction with other information available to the vehicle driver in order to allow the driver to operate the vehicle in an increasingly safe manner and/or to reduce the likelihood of property damage and/or possible bodily injuries to the driver, etc. In some instances, such information is presented to the driver as an augmented reality environment such that the driver can see through objects that may be occluding the driver's vision.

An video analysis computing system driving analysis may include a camera associated with a first vehicle and having a viewing angle capable of capturing a video of one or more other vehicles in proximity to the first vehicle, a first memory location communicatively coupled to the camera, wherein the first memory location stores video data captured by the camera, and an evaluation module including a processor executing instructions that cause the processor to: evaluate the captured video stored in the first memory location to determine whether a driving event performed by a second vehicle has occurred, assign, in response to an identified driving event performed by the second vehicle, a driving event rating to a video showing the identified driving event, wherein the driving event rating may be calculated, at least in part, using a crowd-sourced driving event rating obtained after posting the video to a social network.

A method for capturing digital images during vehicle collisions includes: detecting, by a computer device, an impact with a vehicle; controlling, by the computer device and based on the detecting, at least one digital camera to capture images of an area around the vehicle; and transmitting, by the computer device, the images to a server that is remotely located relative to the vehicle.

A vehicle configured to share a captured image with another vehicle, the vehicle including a first camera configured to capture the image; a first display; a second display; a speed sensor configured to sense a speed of the vehicle; a distance sensor configured to sense a vehicle-to-vehicle distance between the vehicle and a first vehicle immediately ahead of the vehicle; a transceiver configured to implement data communication between the vehicle and the first vehicle; and a processor configured to control the first camera, the first display, the distance sensor, the speed sensor and the transceiver. The processor is further configured to determine a state of the vehicle based on the speed of the vehicle and the vehicle-to-vehicle distance, display a first image captured by the first camera on the first display when the vehicle is in a first state, wherein the first state is a state in which the speed of the vehicle is equal to or greater than a first speed and less than a second speed, and the vehicle-to-vehicle distance is equal to or greater than a first distance and less than a second distance, display a second image captured by a second camera on the first display when the vehicle is in a second state, wherein the second state is a state in which the speed of the vehicle is equal to or greater than the second speed, and the vehicle-to-vehicle distance is equal to or greater than the second distance, and display the first image on the first display and the second image on the second display when the vehicle-to-vehicle distance is repeatedly increased and reduced within a predetermined time on the first distance or the second distance. In addition, the second camera is a camera installed in a second vehicle, the second vehicle being any one of one or more vehicles ahead of the vehicle.