Abstract: An image is processed using a combination of techniques, particularly, in which low frequency information is processed using multiple tone control and high frequency information is processed using local tone mapping. An image is divided into a plurality of blocks including a given block. Low frequency information and high frequency information of the given block are separated. The low frequency information is processed using multiple tone control. The high frequency information is processed using local tone mapping. A processed image is then produced based on the processed low frequency information and based on the processed high frequency information, the processed image corresponding to the image captured using the image sensor. The processed image is then output for storage or display. Processing the low frequency information can include using a gain curve and bilinear interpolation. Processing the high frequency information can include using an edge preservation filter.

Abstract: Lens mode auto-detection includes obtaining predicate lens mode data, obtaining probable lens mode data, obtaining a lens mode score in accordance with the predicate lens mode data and the probable lens mode data, determining whether the lens mode score is greater than a defined lens mode change threshold, and, in response to determining that the lens mode score is greater than the defined lens mode change threshold, outputting lens mode data.

Abstract: Disclosed is a configuration of an autonomous vehicle for autonomously following a moving subject based on a radius of a virtual sphere surrounding the autonomous vehicle. The autonomous vehicle may be an unmanned ground vehicle or an unmanned aerial vehicle, which autonomously follows the subject (e.g., a device, a live entity, or any object) based on the virtual sphere. The radius of the virtual sphere may be dynamically configured according to a velocity of the autonomous vehicle or configurations of a camera coupled to the autonomous vehicle. Accordingly, the autonomous vehicle can follow the subject along a smooth trajectory, and capture images of abrupt movements of the subject in a cinematically pleasing manner.

Abstract: Target value detection for an unmanned aerial vehicle is described. The unmanned aerial vehicle includes a first transducer that transmits a first ultrasonic signal and receives a first ultrasonic response and a second transducer that transmits a second ultrasonic signal and receives a second ultrasonic response. The second transducer has a wider beam pattern than the first transducer. Determinations are made as to whether either or both of the first or second ultrasonic responses includes a target value within range areas associated with the respective beam patterns of the first and second transducers. A confidence value is generated based on the determinations. The target value is reflected from an object and the confidence value indicates a likelihood of a position of the unmanned aerial vehicle with respect to the object.

Abstract: An image capture device includes a mechanical stabilization system is used in image signal processing. The mechanical image stabilization system has an operating bandwidth and includes a motor to control an orientation of an image sensor. A processing apparatus of the image capture device determines a temperature of the motor and adjusts a cutoff frequency of the operating bandwidth based on the temperature of the motor.

Abstract: A gimbal sleeve for connecting to a camera gimbal may float between a floor surface and a ceiling surface of an aerial vehicle chassis such that the gimbal sleeve has freedom of motion in yaw, pitch, and roll directions relative to the vehicle chassis. The gimbal sleeve may comprise a pair of connection points to the lower dampers on a floor surface of the vehicle chassis. The gimbal sleeve may furthermore comprise a ball joint coupled to a back surface of the vehicle chassis. The connection points include spring forces that enable the gimbal sleeve to return to an equilibrium position in response to external vibrations and reduce the magnitude of vibrations transferred from the aerial vehicle to the gimbal and camera systems.

Abstract: Image analysis and processing may include a first sensor readout unit receiving first Bayer format image data corresponding to a first input image, a second sensor readout unit receiving second Bayer format image data corresponding to a second input image, a first Bayer-to-RGB unit obtaining first RGB format image data based on the first Bayer format image data, a second Bayer-to-RGB unit obtaining second RGB format image data based on the second Bayer format image data, a high dynamic range unit configured obtaining high dynamic range image data based on a combination of the first RGB format image data and the second RGB format image data, an RGB-to-YUV unit obtaining YUV format image data based on the high dynamic range image data, and a three-dimensional noise reduction unit obtaining processed image data based on the YUV format image data.

Abstract: Modular lens assemblies and mounting systems are disclosed. A modular lens assembly includes a removable portion and a fixed portion. The removable portion includes a first lens stack configured to produce a near-collimated ray path or a collimated ray path. The fixed portion includes a second lens stack configured to receive the near-collimated ray path or the collimated ray path from the removable portion. The modular lens assembly may be implemented in an image capture device. An image sensor of the image capture device is positioned at an end of the modular lens assembly. The image sensor is configured to capture images based on light incident on the image sensor through the first lens stack and the second lens stack such that the light incident on an outer lens of the first lens stack is refracted through the second lens stack to the image sensor.

Abstract: A camera housing includes a first surface and a second surface noncoplanar with the first surface. A first interconnect mechanism is coupled to the first surface and rotatable between a collapsed position and an extended position. In the collapsed position, protrusions of the first interconnect mechanism extend parallel to the first surface. In the extended position, the protrusions of the first interconnect mechanism extend in a perpendicular manner away from the first surface. A second interconnect mechanism is coupled to the second surface and rotatable between a collapsed position and an extended position. In the collapsed position, protrusions of the second interconnect mechanism include coplanar surfaces and extend adjacent to the second surface. In the extended position, the protrusions of the second interconnect mechanism extend in a perpendicular manner away from the second surface.

Abstract: An aerial vehicle comprises one or more sensors to environmental data, a communication system to receive control inputs from a user, two or more actuators, with each actuator coupled to a rotary wing. The aerial vehicle also comprises a controller to determine a mode of the aerial vehicle based on the environmental data and the control inputs, each mode indicating a set of flight characteristics for the aerial vehicle, generate a gain value based on the mode, the gain value, when used to modify power signals transmitted to actuators of the aerial vehicle, causes the aerial vehicle to conform within the indicated flight characteristics of the determined mode, generate an output signal modified by the gain value based on the input signal, and transmit a power signal based on the output signal to each actuator of the aerial vehicle.

Abstract: An image capture device includes an image sensor and a processor. The image sensor is configured to capture a first plurality of frames, a second plurality of frames, and a third plurality of frames. The processor includes a first denoising layer and a second denoising layer. The first denoising layer includes a first denoiser, a second denoiser, and a third denoiser. The first denoiser is configured to denoise the first plurality of frames and output a first denoised frame. The second denoiser is configured to denoise the second plurality of frames and output a second denoised frame. The third denoiser is configured to denoise the third plurality of frames and output a third denoised frame. The second denoising layer includes a fourth denoiser. The fourth denoiser is configured to output a denoised frame based on the first denoised frame, the second denoised frame, and the third denoised frame.