B60R1/20

IMAGE PROCESSING METHOD AND DEVICE FOR PROVIDING IMAGE FOR ARTIFICIAL INTELLIGENCE AND INFORMATION PROVISION SYSTEM FOR ARTIFICIAL INTELLIGENCE VEHICLE
20230237808 · 2023-07-27 ·

The present disclosure provides an image processing device capable of outputting both an image for humans and an image for artificial intelligence, comprising: a display; a memory for storing at least one image frame for artificial intelligence and multiple basic image frames to be outputted as an image through the display; and a processor which controls the display to, while outputting the basic image frames as an image, output the image frame for artificial intelligence as an image in compliance with a configuration condition, wherein the outputted image includes at least one image frame for artificial intelligence inserted between the basic image frames. In accordance with to the present disclosure, a single display can provide both an image for humans and an image which can be recognized by artificial intelligence, whereby the display can be utilized as a platform for communication with artificial intelligence as well as humans.

IMAGE PROCESSING METHOD AND APPARATUS
20230234509 · 2023-07-27 ·

This application provides image processing methods and apparatuses that may be applied to vehicles such as an intelligent vehicle, a new energy vehicle, a connected vehicle, and an intelligent driving vehicle. An example image processing method includes: obtaining a current frame image, where the current frame image includes a flickering line; determining, based on the current frame image, an interference source frequency that causes the flickering line; and adjusting an exposure time of a next frame based on the interference source frequency to obtain a next frame image that does not include a flickering line.

IMAGE PROCESSING METHOD AND APPARATUS
20230234509 · 2023-07-27 ·

This application provides image processing methods and apparatuses that may be applied to vehicles such as an intelligent vehicle, a new energy vehicle, a connected vehicle, and an intelligent driving vehicle. An example image processing method includes: obtaining a current frame image, where the current frame image includes a flickering line; determining, based on the current frame image, an interference source frequency that causes the flickering line; and adjusting an exposure time of a next frame based on the interference source frequency to obtain a next frame image that does not include a flickering line.

HUD INTELLIGENT COLOR CORRECTION (HUD ICC)
20230228992 · 2023-07-20 ·

A head up display system presents information to a human driver of a motor vehicle such that the presented information is superimposed on a windshield of the motor vehicle. An image capturing device captures an image of a scene in front of the vehicle that is representative of a background against which the information is presented to the driver. An electronic processor receives signals from the image capturing device indicative of the captured images of the scene in front of the vehicle. The processor determines, based on a color of the presented information and the signals from the image capturing device, whether the presented information is readable by the driver. If it is determined that the presented information is not readable by the driver, then a color of the presented information is changed so as to make the presented information more readable by the driver.

HUD INTELLIGENT COLOR CORRECTION (HUD ICC)
20230228992 · 2023-07-20 ·

A head up display system presents information to a human driver of a motor vehicle such that the presented information is superimposed on a windshield of the motor vehicle. An image capturing device captures an image of a scene in front of the vehicle that is representative of a background against which the information is presented to the driver. An electronic processor receives signals from the image capturing device indicative of the captured images of the scene in front of the vehicle. The processor determines, based on a color of the presented information and the signals from the image capturing device, whether the presented information is readable by the driver. If it is determined that the presented information is not readable by the driver, then a color of the presented information is changed so as to make the presented information more readable by the driver.

Data augmentation for driver monitoring
11702011 · 2023-07-18 · ·

This application is directed to augmenting training images used for generating a model for monitoring vehicle drivers. A computer system obtains a first image of a first driver in an interior of a first vehicle and separates, from the first image, a first driver image from a first background image of the interior of the first vehicle. The computer system obtains a second background image and generates a second image by overlaying the first driver image on the second background image. The second image is added to a corpus of training images to be used by a machine learning system to generate a model for monitoring vehicle drivers. In some embodiments, at least one of the first driver image and the second background image is adjusted to match lighting conditions, average intensities, and sizes of the first driver image and the second background image.

Data augmentation for driver monitoring
11702011 · 2023-07-18 · ·

This application is directed to augmenting training images used for generating a model for monitoring vehicle drivers. A computer system obtains a first image of a first driver in an interior of a first vehicle and separates, from the first image, a first driver image from a first background image of the interior of the first vehicle. The computer system obtains a second background image and generates a second image by overlaying the first driver image on the second background image. The second image is added to a corpus of training images to be used by a machine learning system to generate a model for monitoring vehicle drivers. In some embodiments, at least one of the first driver image and the second background image is adjusted to match lighting conditions, average intensities, and sizes of the first driver image and the second background image.

METHOD AND APPARATUS FOR PROVIDING USER INTERFACE BASED ON PROJECTION

A device for providing an interface using a projection includes: a first camera for capturing a vehicle user when an approach of the vehicle user to a vehicle is detected; a projector for projecting an interface, related to at least one vehicle control function, preset based on user identification information; a second camera for capturing an area on which the interface is projected; a memory storing one or more instructions; and a processor for executing the instructions to: acquire the user identification information of the vehicle user using the first camera, recognize a user input to the interface using the second camera, and perform a vehicle control corresponding to the interface when the user input is recognized.

METHOD AND APPARATUS FOR PROVIDING USER INTERFACE BASED ON PROJECTION

A device for providing an interface using a projection includes: a first camera for capturing a vehicle user when an approach of the vehicle user to a vehicle is detected; a projector for projecting an interface, related to at least one vehicle control function, preset based on user identification information; a second camera for capturing an area on which the interface is projected; a memory storing one or more instructions; and a processor for executing the instructions to: acquire the user identification information of the vehicle user using the first camera, recognize a user input to the interface using the second camera, and perform a vehicle control corresponding to the interface when the user input is recognized.

SYSTEMS AND METHODS FOR AN IMPLEMENT IMAGING SYSTEM

In one aspect, a system for an agricultural application includes an implement including a frame. The frame includes a center frame section and at least one movable frame section. A first imaging device is installed on the movable frame section. A second imaging device is installed inboard of the movable frame section relative to the center frame section in the unfolded position. A computing system is communicatively coupled to the first imaging device and the second imaging device. When the implement is in the unfolded position, the computing system receives image data associated with an imaged environment outward of the implement from the first imaging device. When the implement is in the folded position, the computing system receives image data associated with an imaged environment outward of the implement from the second imaging device.