Disclosed herein are a vehicle settlement system and method, and more particularly, a vehicle settlement system and method that utilize object recognition information as settlement authentication information. The vehicle settlement system according to an embodiment includes a vehicle control system, a financial settlement server, and a store system. Here, the vehicle control system includes an object recognition module that is provided to collect object information for settlement authentication, and a vehicle control system control unit that recognizes an object based on the object information collected by the object recognition module.

A trailer detection system is configured to determine a presence of a trailer towed by a host-vehicle. The system includes a camera and a controller. The camera is used to capture an image of an area behind a host vehicle. The controller is in communication with the camera. The controller is used to detect a position of an edge in the image and determine that the edge is associated with a trailer towed by the host vehicle when the position of the edge moves less than a movement threshold.

An image display apparatus for a shovel that includes a lower-part traveling body, an upper-part turning body turnably placed on the lower-part traveling body, and an attachment mounted on the upper-part turning body, and performs work in a work area by driving the attachment, includes an image display part configured to display the work area to be subjected to the work. An image of the work area captured with an image capturing device is subjected to image processing to add and indicate a distribution of depressions and elevations of the work area, and is displayed on the image display part.

A system and method to determine trailer pose includes imaging first and second telltales affixed to a trailer to provide trailer image data. A controller is operable to determine trailer pose from the trailer image data. The trailer pose information may be provided to one or more controllers of a vehicle towing the trailer.

A virtual panoramic roof or sunroof for a motor vehicle (100), the roof being capable of realistically reproducing or adapting the outside world. The roof offers many advantages, such as a reduction in driving noise and a decrease in fuel consumption of the motor vehicle (100) compared to conventional sunroofs. The assembly comprises at least one sensor device (102), in particular an image-capture device for recording the surroundings of the motor vehicle (100), and at least one reproduction device, disposed on an inner face of the roof (101), for reproducing a virtual representation of the surroundings captured by the sensor device.

Systems and methods are provided for generating isothermally enhanced images. An isothermally enhanced image may be an isothermally enhanced non-thermal image such as an isothermally enhanced visible light image. An isothermally enhanced visible light image may include a visible light image portion and a thermal image portion. The thermal image portion may be a portion of the image having temperature-related pixel values. The portion of the image may correspond to an image of an object or objects having temperatures within a particular temperature range. In this way, an isothermally enhanced visible light image may be provided that has visible light image resolution for scene and object identification and recognition and has temperature information for objects having temperatures of interest such as particularly hot objects or particularly cold objects. The temperature information in may be presented using colors each corresponding to isothermal portions of the image.

A method for assisting a driver of a vehicle towing a trailer includes providing a plurality of cameras and processing image data captured by the cameras while the vehicle is towing the trailer. Responsive to processing of captured image data, images are generated for display at a video display screen to provide a top view of the vehicle towing the trailer to the driver to assist maneuvering the vehicle towing the trailer. A dynamic vehicle and trailer icon is generated and displayed at the video display screen along with display of the top view of the vehicle towing the trailer. The dynamic vehicle and trailer icon comprises a top view representation of the vehicle and the trailer with at least one projected path for the vehicle towing the trailer so the driver can readily determine where the trailer will travel when the driver turns a steering wheel of the vehicle.

An autonomous vehicle is configured to detect an active turn signal indicator on another vehicle. An image-capture device of the autonomous vehicle captures an image of a field of view of the autonomous vehicle. The autonomous vehicle captures the image with a short exposure to emphasize objects having brightness above a threshold. Additionally, a bounding area for a second vehicle located within the image is determined. The autonomous vehicle identifies a group of pixels within the bounding area based on a first color of the group of pixels. The autonomous vehicle also calculates an oscillation of an intensity of the group of pixels. Based on the oscillation of the intensity, the autonomous vehicle determines a likelihood that the second vehicle has a first active turn signal. Additionally, the autonomous vehicle is controlled based at least on the likelihood that the second vehicle has a first active turn signal.

A monitoring system that monitors periphery of a shovel moving on ground and reports a tumble risk of the periphery of the shovel to an operator includes: a risk determination unit configured to determine a tumble risk in a case of movement of the shovel to the periphery based on distance information measured by a first sensor that is mounted on the shovel and measures a distance to a ground object including the ground in the periphery of the shovel and slope information measured by a second sensor measuring a slope of the shovel; and a display video generation unit configured to generate and output an image indicating the tumble risk determined by the risk determination unit.

An image convertor converts an original image captured by a front camera. The original image includes a road surface around a vehicle. A three-dimensional object detector detects from a virtual image a three-dimensional object having a height from the road surface. A vehicle accessibility determiner determines whether the vehicle can access to the inside of the detected three-dimensional object or to a clearance among other three-dimensional objects.