The present disclosure relates to vehicle technology, and more particularly, to an unmanned vehicle and its sensor device and cleaning mechanism. The cleaning mechanism includes: a housing, a cleaning element, a driving component transmissively connected to the cleaning element and a control unit installed within a receiving cavity. The housing has a light transmissive element provided on a side surface thereof. The cleaning element is pivotable about one end thereof and mounted to the housing. The cleaning element, when pivoting, frictionally interacts with a surface of the light transmissive element that is away from the receiving cavity to clean the light transmissive element. The control unit is communicatively connected to the driving component for controlling the driving component.

Systems and methods for maintaining and stabilizing the position and orientation of a payload attached to a high-altitude balloon are provided. A payload may be attached to a powered gimbal. The powered gimbal may be configured to orient and position the payload in a plurality of directions corresponding to a first, second, and third rotational axis of the balloon-mounted payload system. After the payload is positioned by the powered gimbal, the position and orientation of the payload may be maintained and stabilized by one or more rotational stabilization devices. The stabilization by the one or more rotational stabilization devices can occur along any one, or combination of, the first, second, and third rotational axes.

Systems and methods for maintaining and stabilizing the position and orientation of a payload attached to a high-altitude balloon are provided. A payload may be attached to a powered gimbal. The powered gimbal may be configured to orient and position the payload in a plurality of directions corresponding to a first, second, and third rotational axis of the balloon-mounted payload system. After the payload is positioned by the powered gimbal, the position and orientation of the payload may be maintained and stabilized by one or more rotational stabilization devices. The stabilization by the one or more rotational stabilization devices can occur along any one, or combination of, the first, second, and third rotational axes.

The present disclosure relates to a readout circuit of a pixel array comprising: a first analog to digital converter coupled to a first column line of the pixel array and configured to convert a reference voltage level and a captured voltage level of a first pixel based on a first conversion gain of the first pixel; and a second analog to digital converter coupled to the first column line of the pixel array and configured to convert a reference voltage level and a captured voltage level of the first pixel based on a second conversion gain of the first pixel, the first and second conversion gains being different from each other.

There is provided a video signal noise elimination method for performing noise correction by digital processing. The video signal noise elimination method includes using, as an output video signal, a mixed video signal obtained by mixing an input video signal and a low-pass video signal at a predetermined mixing ratio corresponding to a contour signal. The method further includes subtracting an off-set, which grows larger as the low-pass video signal becomes greater, from the contour signal. The method further includes controlling the predetermined mixing ratio so that a ratio of the low-pass video signal contained in the mixed video signal increases in a portion where the contour signal is small and so that the ratio of the low-pass video signal contained in the mixed video signal decreases in a portion where the contour signal is large.

A monitoring system and a monitoring method thereof are provided. The monitoring system includes a thermal imaging device and a processor. The thermal imaging device obtains a thermal imaging image. The processor is coupled to the thermal imaging device. The processor determines a separating distance between a reference thermal source and a target thermal source in the thermal imaging image. The reference thermal source corresponds to a reference position, and the target thermal source corresponds to a target person. The processor determines a current posture corresponding to the target thermal source in the thermal imaging image. The processor transmits an alarm signal according to the separating distance and the current posture. Accordingly, the misgivings for the privacy violation may be ceased, and it is adapted for low light environment.

Techniques describe tagging visual data (e.g., image and/or video data) with wireless and sensor measurement information by a mobile device. Tagged visual data may be sent to a server, such as a crowdsourcing server. Techniques further describe receiving visual data from a device, wherein the visual data is tagged with information comprising source identifying information associated with an at least one signal emitting device, identifying at least one visual feature from the visual data, determining a coordinate on a map at which the visual data was acquired based on identifying the at least one visual feature from the visual data, and associating the coordinate on the map with the information associated with the at least one signal emitting device.

Techniques describe tagging visual data (e.g., image and/or video data) with wireless and sensor measurement information by a mobile device. Tagged visual data may be sent to a server, such as a crowdsourcing server. Techniques further describe receiving visual data from a device, wherein the visual data is tagged with information comprising source identifying information associated with an at least one signal emitting device, identifying at least one visual feature from the visual data, determining a coordinate on a map at which the visual data was acquired based on identifying the at least one visual feature from the visual data, and associating the coordinate on the map with the information associated with the at least one signal emitting device.

An image sequence includes consecutive video images each exhibiting at least one image region having a number of pixels, where each pixel includes at least one intensity value. For each image a motion measure value is determined indicative of temporal change of a video content of the image region and varying the intensity values of the pixels of the image region relative to the associated intensity values from video image to video image, a measure for the variation of the intensity values being dependent on the motion measure value determined and the change in the intensity values relative to the associated intensity values being greater the larger the motion represented by the motion measure value.

Predictive, multi-layer caching architectures may be used to predict which elements a user is most likely to navigate to within a collection of elements associated with a predefined layout and, in response, to increase the accessibility of these elements to a client device of the user. For instance, the techniques may utilize a predictive, multi-layer caching architecture for storing these predicted elements to decrease the latency to render these images if the user navigates within the collection of elements in the predicted manner. The collection of elements may comprise images (e.g., a 3D model, a map, etc.), video files, audio files, text files, or any other type of file that is consumable on a client device.