A system for displaying information to an occupant of a vehicle includes a microphone, a camera for capturing images of an environment surrounding the vehicle, a display, and a controller in electrical communication with the microphone, the camera, and the display. The controller is programmed to receive a voice command from the occupant using the microphone, determine at least one characteristic of the requested object based on the voice command, capture an image of the environment using the camera, where the environment includes a relevant object, and to identify a location of the relevant object in the environment based at least in part on the image and the at least one characteristic of the requested object. The controller is further programmed to display a graphic based at least in part on the location of the relevant object in the environment using the display.

An exterior rear view device includes a head assembly and a base assembly configured to be mounted to a vehicle for moveably supporting the head assembly, the base assembly comprising a base frame, a base cover comprising a plurality of cover pieces that include at least a lower base cover, a base cover cap, and a glare shield, a first camera with a first lens that extends in a first direction through a first opening in the glare shield, a second camera with a second lens that extends in a second direction through a second opening in the lower base cover, and a cleaning system with a nozzle for dispensing a cleaning fluid onto the second lens.

An exterior rear view device includes a head assembly and a base assembly configured to be mounted to a vehicle for moveably supporting the head assembly, the base assembly comprising a base frame, a base cover comprising a plurality of cover pieces that include at least a lower base cover, a base cover cap, and a glare shield, a first camera with a first lens that extends in a first direction through a first opening in the glare shield, a second camera with a second lens that extends in a second direction through a second opening in the lower base cover, and a cleaning system with a nozzle for dispensing a cleaning fluid onto the second lens.

In various examples, an image processing pipeline may toggle between IR and RGB imaging modes in response to different thresholds of detected light intensity that depend on the toggling direction (e.g., a lower intensity threshold to switch from RGB to IR imaging and a higher intensity threshold to switch from IR to RGB imaging). For example, the image processing pipeline may switch from RGB to IR imaging in response to detecting an amount of light intensity (e.g., average intensity in a green channel) below a first threshold, and the image processing pipeline may switch from IR to RGB imaging in response to: (i) detecting an amount of light intensity (e.g., average intensity in a green channel) that exceeds a second threshold, and/or (ii) detecting a ratio of detected light intensities (e.g., IR to green) below a third threshold.

In various examples, an image processing pipeline may toggle between IR and RGB imaging modes in response to different thresholds of detected light intensity that depend on the toggling direction (e.g., a lower intensity threshold to switch from RGB to IR imaging and a higher intensity threshold to switch from IR to RGB imaging). For example, the image processing pipeline may switch from RGB to IR imaging in response to detecting an amount of light intensity (e.g., average intensity in a green channel) below a first threshold, and the image processing pipeline may switch from IR to RGB imaging in response to: (i) detecting an amount of light intensity (e.g., average intensity in a green channel) that exceeds a second threshold, and/or (ii) detecting a ratio of detected light intensities (e.g., IR to green) below a third threshold.

In various examples, an image processing pipeline may switch between different operating or switching modes based on speed of ego-motion and/or the active gear (e.g., park vs. drive) of a vehicle or other ego-machine in which an RGB/IR camera is being used. For example, a first operating or switching mode that toggles between IR and RGB imaging modes at a fixed frame rate or interval may be used when the vehicle is in motion, in a particular gear (e.g., drive), and/or traveling above a threshold speed. In another example, a second operating or switching mode that toggles between IR and RGB imaging modes based on detected light intensity may be used when the vehicle is in stationary, in park (or out of gear), and/or traveling below a threshold speed.

In various examples, an image processing pipeline may switch between different operating or switching modes based on speed of ego-motion and/or the active gear (e.g., park vs. drive) of a vehicle or other ego-machine in which an RGB/IR camera is being used. For example, a first operating or switching mode that toggles between IR and RGB imaging modes at a fixed frame rate or interval may be used when the vehicle is in motion, in a particular gear (e.g., drive), and/or traveling above a threshold speed. In another example, a second operating or switching mode that toggles between IR and RGB imaging modes based on detected light intensity may be used when the vehicle is in stationary, in park (or out of gear), and/or traveling below a threshold speed.

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.

Certain aspects of the present disclosure provide techniques for global motion modeling. Embodiments include receiving a first image and a second image from a camera attached to a moving object. Embodiments include identifying a pixel in the first image. Embodiments include determining, based on one or more parameters associated with the camera, a vector representing a range of locations in which a real-world point corresponding to the pixel is likely to be found in the second image, wherein the parameters associated with the camera comprise: a first parameter related to a location of the camera relative to a ground surface; a second parameter related to motion of the moving object; and a third parameter related to an orientation of the camera relative to the ground surface. Embodiments include determining, using the vector, a location of the real-world point in the second image.

Provided are a heater, a lens unit, a camera module, an in-vehicle system, a mobile body, and a heater incorporation method capable of securing easy incorporation and high electrical reliability without increasing number of components and lowering incorporation accuracy.

A heater 30 of the present invention includes a heating unit 32 as an annular body that is disposed between lenses and generates heat by power supply, a connector 34 that is electrically connected to a power supply side, and a power supply unit 36 that extends so as to electrically connect the connector 34 and the heating unit 32 and supplies power to the heating unit 32, in which the heating unit 32, the power supply unit 36, and the connector 34 are integrally formed, and a part of the annular body of the heating unit 32 is divided.