B60R2300/10

Camera device and motor vehicle therewith
11173839 · 2021-11-16 · ·

A camera module for use in a vehicle includes a camera for capturing a surrounding of the vehicle, and which is configured to move from a retracted position to a deployed position, a camera lens forming a housing or part of the housing around the camera, a camera holder which carries the camera and the surrounding camera lens, and a drive system including a motor for moving the camera from the retracted position to the deployed position or from the deployed position to the retracted position.

Rear display device
11220213 · 2022-01-11 · ·

A rear display device includes a camera, a display and a controller. The controller generates an overhead view image by performing an overhead view conversion process, controls the display to display one of a non-overhead view image and the overhead view image, detects a movement state of the vehicle, predicts a reversing course of the vehicle, and detects an object that is present within a predetermined detection range at the rear. The controller controls the display to display the overhead view image when the object is at the reversing course and a distance between the object and the vehicle is a distance determination reference value or less. The controller controls the display to display the non-overhead view image when the object is not at the reversing course or the distance between the object and the vehicle is higher than the distance determination reference value.

VIEWING SYSTEM FOR A VEHICLE AND VEHICLE COMPRISING SUCH VIEWING SYSTEM
20220001802 · 2022-01-06 ·

Viewing system (20) for a vehicle, comprising:—at least one camera (25),—a monitor (26) arranged within the compartment (4),—at least one cable (30) connecting the camera (25) to the monitor (26),—at least one support (21) comprising a fixed support part (22) and a movable support part (23) rotatably mounted on the fixed support part (22), wherein the support (21) comprises at least one tensioning arrangement (35) configured to resiliently urge at least a cable portion of the cable (30) along a travel as the movable support part (23) is moved in a plurality of positions.

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING SYSTEM
20220001803 · 2022-01-06 · ·

A display image to be displayed on a display unit is obtained in accordance with motion of a viewpoint of a driver, on the basis of a captured image obtained by capturing an image on a rear side from a vehicle, when a line-of-sight of the driver is in a certain region including the display unit. For example, the display image is obtained in accordance with a deviation of a viewpoint position of the driver from a reference viewpoint position. For example, the reference viewpoint position is updated on the basis of a long-term fluctuation of the viewpoint position. For example, the reference viewpoint position is not updated when a line-of-sight of the driver is in a certain region including a display unit that displays a display image.

Video management method and apparatus, image capturing device, and storage medium

A video management method and apparatus, image capturing device and storage medium are provided. The video management method includes: obtaining a first driving record video from storage space when a capacity of available space of the storage space is less than a target capacity threshold, wherein the storage space stores at least one driving record video of a target vehicle, and the first driving record video includes a plurality of video frames; and deleting at least one video frame from the video frames included in the first driving record video to obtain a second driving record video. Object captured in the first driving record video are in the second driving record video, so that information safety of users is ensured.

Direct vehicle detection as 3D bounding boxes using neural network image processing
11216673 · 2022-01-04 · ·

Systems and methods of detecting and tracking one or more vehicles in a field of view of an imaging system using neural network processing. An electronic controller receives an input image from a camera mounted on the host vehicle. The electronic controller applies a neural network configured to output a definition of a three-dimensional bounding box based at least in part on the input image. The three-dimensional bounding box indicates a size and a position of a detected vehicle in a field of view of the input image. The three-dimensional bounding box includes a first quadrilateral shape outlining a rear or front of the detected vehicle and a second quadrilateral shape outline a side of the detected vehicle.

Interior rearview mirror assembly with display and tilt mechanism

An interior rearview mirror assembly includes a mirror head pivotally mounted at a mirror mount, and a display device disposed in the mirror head and behind the reflective element. An actuator is disposed at the mirror head and, when actuated, pivots the mirror head upward or downward to pivot the mirror head between a mirror mode orientation and a display mode orientation. The actuator includes at least one cam follower that is pivotable and that has an arcuate groove that receives a pin at the mirror head. Actuation of the actuator pivots the cam follower to move the pin along the groove and to pivot the mirror head relative to the mirror mount. The arcuate groove of the cam follower has a spiral form having a non-uniform radius of curvature at a middle region and a constant radius of curvature about the pivot axis at each end region.

Apparatus, system and method for enhanced driver vision based on road level characteristics

A system, apparatus and method for enhancing a driver's field of view in a vehicle. Sensor data may be generated, via one or more first sensors, relating a pitch angle of the vehicle and received in a processing apparatus, which further determines if the pitch angle of the vehicle exceeds a configured pitch angle threshold for a configured period of time. One or more control signals may be transmitted to activate one or more cameras configured to capture image data at least in a front area of the vehicle if the processing apparatus determines that the pitch angle exceeds the configured pitch angle for the configured period of time. The captured image data may then be displayed on a display unit.

Training method for a driver assistance method, driver assistance method, control device and vehicle comprising the control device
11780432 · 2023-10-10 · ·

A training method for a driver assistance method of a vehicle. The method includes: recording a sequence of camera images during a training run of the vehicle, guided by a user, along a desired trajectory; determining a driving corridor for the driver assistance method along the desired trajectory based on image processing of the recorded sequence of camera images; displaying the recorded sequence of camera images and/or a surrounding environment model determined based on the recorded sequence of camera images on a display, at least the determined driving corridor being displayed as an overlay superimposed on the display; and storing the driving corridor in an electronic memory of the vehicle, a recording of an input by the user for adapting a boundary of the determined driving corridor during the displaying and an adapting of the determined driving corridor based on the recorded input being carried out.

Trailer hitching assist system with trailer coupler detection

A trailer assist system for a vehicle includes a camera disposed at a rear portion of a vehicle and having a field of view exterior and at least rearward of the vehicle, the field of view encompassing at least a portion of a trailer coupler of a trailer stationary a distance from the vehicle. The camera captures image data that is representative of at least the trailer coupler of the trailer. An ECU includes an image processor operable to process image data captured by the camera. The ECU, responsive to image processing at the ECU of image data captured by the camera, determines a location of the trailer coupler using a detector model, which is based on an ensemble regression tree algorithm.