Abstract:
Conventional wireless interface (WiFi) controllers cannot resolve authentication for trusted client devices without calculation from a host processor. Leaving the host processor on or awaking it from a sleep state each time a non-authenticated trusted client device attempts to connect wastes power. A hostless authenticated wake service allows a host controller to enter a sleep state while the WiFi controller responds to multicast domain name service-service discovery (mDNS-SD) queries from trusted client devices. Once a client device is authenticated, the WiFi controller may respond to a trusted client request to awake the host processor for further command processing and service provision. Not only does this approach reduce power consumption by allowing the host processor to remain in the sleep state, it allows trusted client devices to discover its presence while ensuring security.
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:
The present teachings provide a system and method. The system and method include receiving images or video frames at a wireless receiver interface from a wireless transmitter. The system and method include performing decoder nudging while decoding the images or the video frames received by the wireless transmitter. Overclocking a display of a controller to an overclocked frequency. Outputting decoded images or decoded video frames to the display of the controller at the overclocked frequency.
Abstract:
A controller system of an aerial vehicle may receive environmental data from one or more sensors of the aerial vehicle and adjusts limits of the aerial vehicle given the environmental conditions. When the aerial vehicle receives an input, such as a flight input from a remote controller or an environmental input such as a gust of wind, the controller system calculates appropriate motor inputs that are provided to the thrust motors of the aerial vehicle such that the adjusted limits of the aerial vehicle are not exceeded. In calculating the appropriate input to the thrust motors, the controller system performs an iterative process. For example, for a given maximum torque that can be applied to the thrust motors, the controller system iteratively allocates the torque such that torque components that are important for the stability of the aerial are first fulfilled, whereas subsequent torque components may be fulfilled or scaled back.
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:
A pipeline in a controller may be configured to interface between sensors and actuators. The pipeline may include elements such as drivers, filters, a combine, estimators, controllers, a mixer, and actuator controllers. The drivers may receive sensor data and pre-process the received sensor data. The filters may filter the pre-processed sensor data to generate filtered sensor data. The combine may package the filtered sensor data to generate packaged sensor data. The estimators may determine estimates of a position of a vehicle based on the packaged sensor data. The controllers may generate control signals based on the determined estimates. The mixer may modify the generated control signals based on limitations of the vehicle. The actuator controllers may generate actuator control signals based on the modified control signals to drive the actuators.
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:
Disclosed is a configuration to control automatic return of an aerial vehicle. The configuration stores a return location in a storage device of the aerial vehicle. The return location may correspond to a location where the aerial vehicle is to return. One or more sensors of the aerial vehicle are monitored during flight for detection of a predefined condition. When a predetermined condition is met a return path program may be loaded for execution to provide a return flight path for the aerial vehicle to automatically navigate to the return location.
Abstract:
A mapping system receives sensor data from an unmanned aerial vehicle. The mapping system further receives images from a camera of the unmanned aerial vehicle. The mapping system determines an altitude of the camera based on the sensor data. The mapping system calculates a footprint of the camera based on the altitude of the camera and a field of view of the camera. The mapping system constructs a localized map based on the images and the footprint of the camera.
Abstract:
A mapping system receives sensor data from an unmanned aerial vehicle. The mapping system further receives images from a camera of the unmanned aerial vehicle. The mapping system determines an altitude of the camera based on the sensor data. The mapping system calculates a footprint of the camera based on the altitude of the camera and a field of view of the camera. The mapping system constructs a localized map based on the images and the footprint of the camera.