Abstract: A method and device for aerial vehicle-based image projection, and an aerial vehicle are provided. The method comprises adjusting a position of the aerial vehicle to a projection-permitted position if an image projection event for the aerial vehicle is detected, triggering a projection module of the aerial vehicle to project an image. Adjusting the position of the aerial vehicle comprises adjusting the position of the aerial vehicle based on an obstacle image captured in a projecting direction of the projection module.

Abstract: A method for in-line sensor calibration are provided, comprising: obtaining sensor data from a plurality of sensors of different types coupled to an unmanned aerial vehicle (UAV) while the UAV is in flight, wherein the plurality of sensors have an initial spatial configuration relative to one another; detecting, with aid of a processor, a change in a spatial configuration of the plurality of sensors relative to one another from the initial spatial configuration to a subsequent spatial configuration, based on the sensor data; determining the subsequent spatial configuration; and adjusting data, while the UAV is in flight, from at least one of the plurality of sensors based on the subsequent spatial configuration. The disclosure also relates to an apparatus for sensor calibration.

Abstract: Systems and methods are provided for guiding a target object with an unmanned aerial vehicle (UAV) in an environment. The UAV may be able to recognize and locate the target object. The UAV can be configured to communicate the actions and behavior of the target object to a user through a user device in communication with the UAV. The UAV can provide positive and negative stimuli to the target object to encourage an action or behavior. The UAV can be configured to recognize and manage waste generated by the target object.

Abstract: A data processing device and an aerial vehicle are provided. The device comprises a sensor, a processor, and a clock converter. A data signal output pin of the sensor is connected with a data signal input pin of the processor. The sensor comprises at least two clock output pins, each of which is connected with one of two input pins of the clock convert. An output pin of the clock converter is connected with a clock input pin of the processor. The dock converter is configured to convert clock signals input from various input pins into a single-ended clock signal, and output the single-ended clock signal to the processor through the output pin.

Abstract: A method for supporting target tracking includes acquiring a target from one or more images captured by an imaging device carried by a movable object, obtaining a relative distance between the movable object and the target, and generating one or more control signals based on the relative distance to direct the movable object to track the target.

Abstract: Systems and methods are provided for guiding a target object with an unmanned aerial vehicle (UAV) in an environment. The UAV may be able to recognize and locate the target object. The UAV can be configured to communicate the actions and behavior of the target object to a user through a user device in communication with the UAV. The UAV can provide positive and negative stimuli to the target object to encourage an action or behavior. The UAV can be configured to recognize and manage waste generated by the target object.

Abstract: An RGB-D imaging system having an ultrasonic array for generating images that include depth data, and methods for manufacturing and using same. The RGB-D imaging system includes an ultrasonic sensor array positioned on a housing that includes an ultrasonic emitter and a plurality of ultrasonic sensors. The RGB-D imaging system also includes an RGB camera assembly positioned on the housing in a parallel plane with, and operably connected to, the ultrasonic sensor. The RGB-D imaging system thereby provides/enables improved imaging in a wide variety of lighting conditions compared to conventional systems.

Abstract: Systems and methods for controlling an unmanned aerial vehicle within an environment are provided. In one aspect, a system comprises one or more sensors carried on the unmanned aerial vehicle and configured to receive sensor data of the environment and one or more processors. The one or more processors may be individually or collectively configured to: determine, based on the sensor data, an environmental complexity factor representative of an obstacle density for the environment; determine, based on the environmental complexity factor, one or more operating rules for the unmanned aerial vehicle; receive a signal indicating a desired movement of the unmanned aerial vehicle; and cause the unmanned aerial vehicle to move in accordance with the signal while complying with the one or more operating rules.

Abstract: Systems and methods for controlling an unmanned aerial vehicle within an environment are provided. In one aspect, a system comprises one or more sensors carried on the unmanned aerial vehicle and configured to receive sensor data of the environment and one or more processors. The one or more processors may be individually or collectively configured to: determine, based on the sensor data, an environmental complexity factor representative of an obstacle density for the environment; determine, based on the environmental complexity factor, one or more operating rules for the unmanned aerial vehicle; receive a signal indicating a desired movement of the unmanned aerial vehicle; and cause the unmanned aerial vehicle to move in accordance with the signal while complying with the one or more operating rules.

Abstract: Systems and methods for controlling an unmanned aerial vehicle within an environment are provided. In one aspect, a system comprises one or more sensors carried by the unmanned aerial vehicle and configured to provide sensor data and one or more processors. The one or more processors can be individually or collectively configured to: determine, based on the sensor data, an environment type for the environment; select a flight mode from a plurality of different flight modes based on the environment type, wherein each of the plurality of different flight mode is associated with a different set of operating rules for the unmanned aerial vehicle; and cause the unmanned aerial vehicle to operate within the environment while conforming to the set of operating rules of the selected flight mode.

Abstract: Systems and methods for controlling an unmanned aerial vehicle within an environment are provided. In one aspect, a system comprises one or more sensors carried by the unmanned aerial vehicle and configured to provide sensor data and one or more processors. The one or more processors can be individually or collectively configured to: determine, based on the sensor data, an environment type for the environment; select a flight mode from a plurality of different flight modes based on the environment type, wherein each of the plurality of different flight mode is associated with a different set of operating rules for the unmanned aerial vehicle; and cause the unmanned aerial vehicle to operate within the environment while conforming to the set of operating rules of the selected flight mode.

Abstract: Systems and methods for controlling an unmanned aerial vehicle within an environment are provided. In one aspect, a system comprises one or more sensors carried on the unmanned aerial vehicle and configured to receive sensor data of the environment and one or more processors. The one or more processors may be individually or collectively configured to: determine, based on the sensor data, an environmental complexity factor representative of an obstacle density for the environment; determine, based on the environmental complexity factor, one or more operating rules for the unmanned aerial vehicle; receive a signal indicating a desired movement of the unmanned aerial vehicle; and cause the unmanned aerial vehicle to move in accordance with the signal while complying with the one or more operating rules.

Abstract: Systems and methods for controlling an unmanned aerial vehicle within an environment are provided. In one aspect, a system comprises one or more sensors carried by the unmanned aerial vehicle and configured to provide sensor data and one or more processors. The one or more processors can be individually or collectively configured to: determine, based on the sensor data, an environment type for the environment; select a flight mode from a plurality of different flight modes based on the environment type, wherein each of the plurality of different flight mode is associated with a different set of operating rules for the unmanned aerial vehicle; and cause the unmanned aerial vehicle to operate within the environment while conforming to the set of operating rules of the selected flight mode.

Abstract: Systems and methods are provided for positing an unmanned aerial vehicle (UAV) in an environment. The UAV may be able to identify visual markers and patterns in the environment. The UAV can distinguish between visual markers and other features in the environment. The visual markers can be analyzed with visual sensors to determine the position of the UAV in the environment. The visual markers can encode instructions to the UAV.

Abstract: Systems and methods for controlling an unmanned aerial vehicle within an environment are provided. In one aspect, a system comprises one or more sensors carried on the unmanned aerial vehicle and configured to receive sensor data of the environment and one or more processors. The one or more processors may be individually or collectively configured to: determine, based on the sensor data, an environmental complexity factor representative of an obstacle density for the environment; determine, based on the environmental complexity factor, one or more operating rules for the unmanned aerial vehicle; receive a signal indicating a desired movement of the unmanned aerial vehicle; and cause the unmanned aerial vehicle to move in accordance with the signal while complying with the one or more operating rules.

Abstract: Systems and methods for controlling an unmanned aerial vehicle within an environment are provided. In one aspect, a system comprises one or more sensors carried by the unmanned aerial vehicle and configured to provide sensor data and one or more processors. The one or more processors can be individually or collectively configured to: determine, based on the sensor data, an environment type for the environment; select a flight mode from a plurality of different flight modes based on the environment type, wherein each of the plurality of different flight mode is associated with a different set of operating rules for the unmanned aerial vehicle; and cause the unmanned aerial vehicle to operate within the environment while conforming to the set of operating rules of the selected flight mode.

Abstract: An optical-flow imaging system having an ultrasonic array for generating images that include depth data, and methods for manufacturing and using same. The optical-flow imaging system includes an ultrasonic sensor array positioned on a housing that includes an ultrasonic emitter and a plurality of ultrasonic sensors. The optical-flow imaging system also includes a Red, Green Blue (RGB) camera assembly positioned on the housing in a parallel plane with, and operably connected to, the ultrasonic sensor. Thereby, the optical-flow imaging system advantageously enables improved imaging in a wide variety of lighting conditions compared to conventional systems.

Abstract: A system for operating a mobile platform using distance and speed information and methods for making and using same. The system includes a time-of-flight sensor and an ultrasound sensor for measuring a distance between the mobile platform and an obstacle and a processor for integrating the sensed measurements and controlling the mobile platform. The distance measured by the time-of-flight sensor can be determined via a phase shift method. The time-of-flight sensor can also be used to measure a speed of the mobile platform by imaging a reference point at different times and using stereopsis to ascertain the displacement. Distances and speeds measured using the time-of-flight and ultrasound sensors can be integrated to improve measurement accuracy. The systems and methods are suitable for use in controlling any type of mobile platform, including unmanned aerial vehicles and advantageously can be applied for avoiding collisions between the mobile platform and the obstacle.

Abstract: Systems and methods for controlling an unmanned aerial vehicle within an environment are provided. In one aspect, a system comprises one or more sensors carried by the unmanned aerial vehicle and configured to provide sensor data and one or more processors. The one or more processors can be individually or collectively configured to: determine, based on the sensor data, an environment type for the environment; select a flight mode from a plurality of different flight modes based on the environment type, wherein each of the plurality of different flight mode is associated with a different set of operating rules for the unmanned aerial vehicle; and cause the unmanned aerial vehicle to operate within the environment while conforming to the set of operating rules of the selected flight mode.

Abstract: Systems and methods for controlling an unmanned aerial vehicle within an environment are provided. In one aspect, a system comprises one or more sensors carried on the unmanned aerial vehicle and configured to receive sensor data of the environment and one or more processors. The one or more processors may be individually or collectively configured to: determine, based on the sensor data, an environmental complexity factor representative of an obstacle density for the environment; determine, based on the environmental complexity factor, one or more operating rules for the unmanned aerial vehicle; receive a signal indicating a desired movement of the unmanned aerial vehicle; and cause the unmanned aerial vehicle to move in accordance with the signal while complying with the one or more operating rules.