An apparatus comprising a camera sensor and a processor. The camera sensor may be configured to generate a video signal based on a targeted view in a vehicle. The processor may be configured to receive one or more status signals from one or more sensors. The processor may be configured to detect a type of obstruction of a window of the vehicle visible in the video signal based on (i) a classification of information in the video signal and (ii) one or more of the status signals.

An embodiment vehicle includes a rain sensor configured to generate a splash signal in response to detecting rain greater than or equal to a predetermined amount, a wiper driver configured to operate a wiper based on the splash signal, a first controller configured to transmit the splash signal to the wiper driver, and a second controller configured to receive the splash signal from the first controller, generate a control signal based on the splash signal, and operate at least one electronic device based on the control signal.

A method of processing data includes receiving, at a computing device, data representative of an image captured by an image sensor. The method also includes determining a first scene clarity score. The method further includes determining whether the first scene clarity score satisfies a threshold, and if the first scene clarity score satisfies the threshold, determining a second scene clarity score based on second data extracted from the data.

An adhering detection apparatus includes a light source to emit probe light to a light translucent object during an emission period, and to stop an emission of the probe light to the light translucent object during a non-emission period, a light receiver to receive light coming from the light translucent object during the emission period and the non-emission period of the light source, and an adhering detection processor to perform an adhering detection processing for detecting a substance adhering to the light translucent object based on light quantity of the light coming from the light translucent object and received by the light receiver, and to output a detection result of the adhering detection processing. The adhering detection processor selectively performs one or more processes depending on the light quantity of the light received by the light receiver during the non-emission period of the light source.

An information processing system includes a vehicle and a server that is able to communicate with the vehicle. The server stores weather information indicating the weather. The vehicle receives the weather information from the server and acquires an image in which a scene outside the vehicle is captured when an operating state of an onboard device is not a prescribed operating state corresponding to the weather indicated by the weather information. The vehicle or the server detects the weather from the image. The server updates the weather information to indicate the weather detected from the image when the weather detected from the image and the weather indicated by the weather information do not match and provides information to a client using the updated weather information.

A device for detecting rain includes a camera and a lighting source for emitting visible light onto a window. The camera and the lighting source are configured and arranged in such a way that the camera can detect a signal of the visible light which the lighting source emits onto the window. The signal which is detected by the camera correlates with visible light of the lighting source, which visible light is reflected or scattered at the inner face of the window or outer face of the window and/or at the raindrop. The visible light passes through a shutter device which causes the light to be blocked or highly attenuated in a predefined direction perpendicular to the illumination direction of structures of the shutter device. In contrast, the light in the direction perpendicular to the predefined direction and to the illumination direction can propagate virtually unimpeded through the shutter device.

An imaging device includes a reflection polarization prism having an incident surface on which illumination light emitted from a light emitter is incident and a transmission surface that passes the illumination light entered the incident surface through one surface of a light-transmitting member, an imager including an image sensor having a first light-receiving portion that receives light from a predetermined imaging area transmitting the light-transmitting member and a second light-receiving portion adjacent to the first light-receiving portion that receives the illumination light reflected on an opposite surface to the one surface of the light-transmitting member, and an optical member that emits the light introduced from the predetermined imaging area to the first light-receiving portion and emits the illumination light reflected on the opposite surface of the light-transmitting member to the second light-receiving portion.

It is possible to consider an image as a composite wave that is the result of layering waves having differing periods and amplitudes. An image captured via a lens having a water droplet attached thereto has a higher occurrence of changes such as image blur than an image that does not have a water droplet attached thereto, which means that this type of change in an image results in changes in the composite wave thereof as well. Provided is a lens dirtiness detection device that suitably determines whether a lens is dirty without being affected by a background image by: focusing on the occurrence of large changes in the composite wave of an image that accompany an increase in the dirtiness of a camera lens; extracting each of the image frequency components that constitute the composite wave; and analyzing changes in the magnitude relation between the frequency components.

This application provides an automatic vehicle window cleaning method and apparatus, used to detect a foreign object on a vehicle window based on a value of a pixel in a vehicle window image, and perform automatic cleaning. The method includes: obtaining a vehicle window image; determining a dark channel image corresponding to a single frame of vehicle window image; further determining, based on a quantity of pixels whose gray values exceed a preset gray threshold in the dark channel image and/or definition of the dark channel image, that a first-type foreign object exists on a vehicle window; and/or determining, based on RGB values of pixels in i consecutive frames of vehicle window images, that a second-type foreign object exists on the vehicle window; and controlling a cleaning tool to remove a foreign object. The foreign object includes the first-type foreign object and/or the second-type foreign object.

The present teaching relates to method and system for sensor protection. A sensor protection system includes an assembly having a first structure embedded in a second structure, wherein a sensor is firmly placed in the first structure for sensing information through the assembly and protected from negative impact of outside environment, and one or more devices mounted on the second structure for providing means to clean a slanted surface of the second structure through which the sensor senses the surrounding information, wherein the one or more devices can be individually or jointly activated as needed to clean the slanted surface in order to prevent degradation of information sensed by the sensor through the assembly.