Embodiments of the present disclosure address problems presented by contaminants, such as dirt and debris, by providing an optical apparatus with techniques and methodologies for self-cleaning. In that regard, embodiments of the present disclosure employ techniques and methodologies for maintaining a very thin (e.g., few microns thick) layer of liquid, such as a non-stick liquid, on an optical window of an optical body that shields or protects an optical device.

A three-dimensional object detection has an image capturing device, an image conversion unit, a three-dimensional object detection unit, a three-dimensional object assessment unit, first and second foreign matter detection units and a controller. The image capturing device captures images rearward of a vehicle. The three-dimensional object detection unit detects three-dimensional objects based on image information. The three-dimensional object assessment unit assesses whether or not a detected three-dimensional object is another vehicle. The foreign matter detection units detect whether or not foreign matter has adhered to a lens based on the change over time in luminance values for each predetermined pixel of the image capturing element and the change over time in the difference between an evaluation value and a reference value. The controller outputs control commands to the other means to suppress the assessment of foreign matter as another vehicle when foreign matter has been detected.

A method for detecting a blocking state of an image acquisition device, an electronic device, and a computer storage medium are provided. The method includes: an image acquired by an image acquisition device is obtained; and it is determined, according to the acquired image, whether the image acquisition device is in a blocked state.

A back-up camera for a vehicle incorporating a hood, a cover, nozzles for squirting water and air onto the surface of the camera lens, and an heating element for melting ice which accumulates on the lens.

A surrounding environment recognition device includes: an image acquisition unit that obtains a photographic image from a camera for capturing, via a camera lens, an image of a surrounding environment around a mobile object; an image recognition unit that recognizes an object image of an object present in the surrounding environment based upon the photographic image obtained by the image acquisition unit; an accumulation detection unit that detects accumulation settled on the camera lens based upon the photographic image obtained by the image acquisition unit; a suspension decision-making unit that makes a decision, based upon detection results provided by the accumulation detection unit, whether or not to suspend operation of the image recognition unit; a tracking unit that detects a characteristic quantity in a tracking target image from a specific area in an image captured by the image acquisition unit for a reference frame, determines through calculation an estimated area where the characteristic quantity should be detected in an image captured by the image acquisition unit for a later frame relative to the reference frame and makes a decision as to whether or not the characteristic quantity for the tracking target image is also present in the estimated area; and a resumption decision-making unit that makes a decision, based upon at least decision-making results provided by the tracking unit and indicating whether or not the characteristic quantity for the tracking target image is present, as to whether or not to resume the operation of the image recognition unit currently in a suspended state.

There is disclosed a viewing system coupled to a motor vehicle having a frame having a roof, at least one support, and a body with the at least one support supporting the roof over the body. The system can comprise at least one camera, at least one screen coupled to the support. In addition each camera is coupled to the at least one support and wherein said at least one screen is in communication with the first set of cameras, wherein said at least one screen displays images presented by the first set of cameras. This device can provide additional view in the blind spot of the vehicle.

A deposit detection device according to an embodiment includes a calculation module, an extraction module, and a decision module. The calculation module calculates a brightness average for each of small regions into which a predetermined region of an image captured by an imaging device is divided. The extraction module extracts, as a high-brightness region, the small region in which the brightness average calculated by the calculation module is equal to or larger than a predetermined value. The decision module decides on a brightness threshold value for detecting a deposit region corresponding to a deposit adhering to the imaging device, based on the area of the high-brightness region extracted by the extraction module.

An exterior camera lens cleaning system for a vehicle may include: a base unit fixed to the vehicle; a housing unit configured to be rotatable with respect to the base unit; a camera unit including a camera module, the camera unit at least partially inserted into the housing unit and configured to move in a longitudinal direction of the housing unit; a wiper disposed on an inside surface of the housing unit so as to face the camera module; and a control unit configured to receive video data through the camera module, to control a rotation operation of the housing unit based on a state of the vehicle, and to control an extension operation of the camera unit. The camera unit may be interlocked with the housing unit, and when the housing unit is rotated by the control unit, the camera unit may be configured to move horizontally in the longitudinal direction of the housing unit.

Systems and methods are disclosed for identifying a dirty camera in a monocular camera comprising n cameras. For each of one or more cycles, a dirty counter variable for each of the n cameras is set to 0. For each of the n cameras, an image is captured from the camera and an image metric is determined for the image, e.g. brightness and/or contrast. If the image metric is 10% greater, or 10% less, than the image metric for any of the other n−1 cameras in the monocular camera, then that camera is determined to be dirty and a corrective action is taken, such as sending an alarm to an occupant the vehicle or initiating a cleaning operation. If the dirty condition persists for a camera that has been cleaned within a threshold period of time (i.e., recently), then an alarm is sent to an operator of the vehicle.

An image capturing apparatus includes an image sensor, a determination unit configured to determine whether or not a predetermined condition is satisfied, and a control unit configured to acquire foreign substance information from an image obtained by causing the image sensor to perform image capture, wherein if the determination unit determines that the predetermined condition is not satisfied, the control unit acquires the foreign substance information from the image, and if the determination unit determines that the predetermined condition is satisfied, the control unit does not acquire the foreign substance information from the image, and the predetermined condition includes at least one of the following: that a mounted lens unit is a lens unit with a narrow image circle, and that a mode in which only a partial region of the image sensor is recorded has been set.