Aspects of the disclosure relate to a dynamic distance estimation output platform that utilizes improved computer vision and perspective transformation techniques to determine vehicle proximities from video footage. A computing platform may receive, from a visible light camera located in a first vehicle, a video output showing a second vehicle that is in front of the first vehicle. The computing platform may determine a longitudinal distance between the first vehicle and the second vehicle by determining an orthogonal distance between a center-of-projection corresponding to the visible light camera, and an intersection of a backside plane of the second vehicle and ground below the second vehicle. The computing platform may send, to an autonomous vehicle control system, a distance estimation output corresponding to the longitudinal distance, which may cause the autonomous vehicle control system to perform vehicle control actions.

Identification and guidance systems configured to facilitate vehicle management in logistics yards or the like are described. The systems can include an identification and guidance (I/G) unit attached to each transport vehicle within the logistics yard. The I/G unit transmits information (e.g., location and guidance information) over a wireless network to a remote controller. The remote controller can transmit relevant information received from the I/G unit to a portable communications device associated with the transport vehicle to which the JIG unit is mounted. For example, the portable communications device may be located in a tractor being used to maneuver the transport vehicle about the logistics yard so that the driver can use the information displayed on the portable communications device to assist with maneuvering the transport vehicle. Related methods are also described.

A hazardous behavior determining unit (3) determines a vehicle that is conducting or is likely to conduct hazardous driving from among one or more vehicles around a host vehicle and a type of the hazardous driving using information indicating states of the host vehicle and the vehicles and a surrounding situation and behavior information stored in an onboard database (2). A registered vehicle identifying unit (5) identifies a vehicle that corresponds to hazardous vehicle information stored in the onboard database (2) by collating numbers of a license plate detected by a number detecting unit (4) with numbers stored in the onboard database (2). A hazard predicting unit (6) predicts a risk to the host vehicle using the determination result from the hazardous behavior determining unit (3) and the identification result from the registered vehicle identifying unit (5).

A camera monitoring system and a method of controlling the same are provided. The camera monitoring system includes a camera assembly that captures an image of an outer side surface of a vehicle and a mirror assembly disposed to overlap at least a portion of the camera assembly. A driver performs deployment and folding of the camera assembly and the mirror assembly. A controller operates the driver in response to an input of the deployment or folding of the camera assembly and the mirror assembly and determines a failure of the camera assembly. The camera assembly and the mirror assembly are moved based on a single drive shaft, and the controller deploys or folds the camera assembly and the mirror assembly.

An imaging device capable of reporting more reliably an occurrence of trouble is provided. The imaging device of the present disclosure includes an imaging sensor configured to generate image data, a diagnosis circuit configured to perform diagnosis processing for the imaging sensor and an output circuit configured to output a flag signal corresponding to a result of the diagnosis processing, wherein the flag signal is set to a ground level signal in response to the result of the diagnosis processing indicating an error.

A luminance determining unit determines a luminance distribution of an exterior circumstantial image in a line-of-sight direction of a driver, and a luminance changing unit determines a bright region of this luminance distribution. Further, the luminance changing unit determines a luminance after the change in a peripheral region of this bright region. A virtual-image creating unit creates a virtual image based on the determined luminance, and a display processing unit displays this virtual image on a display unit. In this manner, since a display system displays the virtual image for use in increasing the luminance in periphery of the bright region, the feeling of the brightness for the driver can be moderated, and therefore, the visual recognition can be improved. That is, the display system can output the virtual image depending on the circumstances.

The present disclosure provides a parking process display method and device, and a vehicle. The method comprises: creating an image used for reflecting a scene where a vehicle is located; determining a display region of the image, and displaying the display region; identifying parking spots in the image; when at least part of a region of a target parking spot among all the parking spots and/or of a vehicle is located outside the display region, adjusting the position of the center of the display region of the image with respect to the origin of a preset coordinate system, so that the whole regions of the vehicle and the target parking spot are located in the display region.

A position finding method including capturing respective images of multiple locations on a movement route of a moving body at the multiple locations, associating the respective images of the multiple locations with respective position information relating to the multiple locations, storing the respective images on a storage medium in association with the respective position information, capturing an image of a current position of the moving body from the moving body while the moving body is moving along the movement route, performing image matching between the current position image and the respective images stored on the storage medium, and finding the current position of the moving body based on a result of the image matching.

Provided is a semiconductor device including: first signal generation units arranged so as to form rows and columns and corresponding to pixels configured to output a signal in response to incidence of light, each of the first signal generation units being configured to output a first digital signal in response to an output from a corresponding pixel; second signal generation units arranged corresponding to at least a part of the rows and the columns, each of the second signal generation units being configured to output a second digital signal having a predetermined digital value; and a readout unit configured to output a signal based on at least one of the first digital signal and the second digital signal that is output from a selected part of the first signal generation units and the second signal generation units.

The present technology relates to, for example, an image-capturing apparatus, an image processing method, and a program that make it possible to suppress an increase in costs. A controller performs an extraction control for extracting a first image and a second image from a captured image captured by an image sensor that performs image-capturing, the first image being displayed on a first display section, the second image being displayed on a second display section. A data amount adjuster adjusts data amounts of the first image and the second image according to vehicle information acquired from a vehicle. For example, the present technology is applicable to a viewing system that displays an image of a region behind a vehicle.