Abstract: A method of controlling a mobile platform includes measuring a distance between the mobile platform and an object when the mobile platform is located at each of a plurality of positions to obtain a plurality of measured distances each being obtained at one of the plurality of positions. Location information of the plurality of positions of the mobile platform is obtained by an inertial measurement unit (IMU) on the mobile platform. The at least two distance sensors being configured to capture data from different directions. The method further includes determining a position of the object based on the plurality of measured distances and the location information and controlling the mobile platform to avoid the object based on the results of the determined position of the object.

Abstract: A detection apparatus is configured to be mounted to a device body of a movable device via a driving member and includes an emission component. The emission component includes an emitter configured to emit a signal, a reflector disposed in proximity to the emitter and configured to reflect the signal emitted by the emitter, and a driver connected to the reflector and configured to drive the reflector to rotate to emit the signal to different directions. Based on a direction range in which an obstacle is located, the driving member is selected to drive the detection apparatus to rotate; or the driver of the emission component is selected to drive the reflector to rotate.

Abstract: The present disclosure provides a streaming voice conversion method as well as an apparatus and a computer readable storage medium using the same. The method includes: obtaining to-be-converted voice data; partitioning the to-be-converted voice data in an order of data obtaining time as a plurality of to-be-converted partition voices, where the to-be-converted partition voice data carries a partition mark; performing a voice conversion on each of the to-be-converted partition voices to obtain a converted partition voice, where the converted partition voice carries a partition mark; performing a partition restoration on each of the converted partition voices to obtain a restored partition voice, where the restored partition voice carries a partition mark; and outputting each of the restored partition voices according to the partition mark carried by the restored partition voice. In this manner, the response time is shortened, and the conversion speed is improved.

Abstract: A sensor system includes an optical aperture, a light source configured to generate a light pulse along a first optical path, a reflective surface configured to reflect the light pulse from the first optical path to a second optical path for passing through the optical aperture, a beam steering device positioned in the optical aperture and configured to steer the light pulse along different directions to one or more objects in an angle of view of the sensor system, a detector configured to receive a reflected light pulse and convert the reflected light pulse into an electrical signal, the reflected light pulse being reflected back from the one or more objects and passed through the beam steer device, and a spatial filtering device positioned between the beam steering device and the detector to block undesirable light in both the light pulse and the reflected light pulse.

Abstract: The present disclosure discloses a voice conversion training method. The method includes: forming a first training data set including a plurality of training voice data groups; selecting two of the training voice data groups from the first training data set to input into a voice conversion neural network for training; forming a second training data set including the first training data set and a first source speaker voice data group; inputting one of the training voice data groups selected from the first training data set and the first source speaker voice data group into the network for training; forming the third training data set including the second source speaker voice data group and the personalized voice data group that are parallel corpus with respect to each other; and inputting the second source speaker voice data group and the personalized voice data group into the network for training.

Abstract: Example embodiments include a motion mechanism that can be coupled between the main body of an unmanned movable object and the optoelectronic scanning module. The motion mechanism can include, e.g., a spinning device and a tilting device. The spinning device can be operable to rotate the scanning module relative to the main body about a spin axis. The tilting device can be operable, e.g., in response to a tilt angle input, to rotate the scanning module about an additional axis that is transverse to the spin axis. Further example embodiments include an orientation sensor installed on the main body of the unmanned movable object. Some embodiments also provide a controller that is configured to receive an orientation signal from the orientation sensor and, based at least in part on the orientation signal, determine a tilt value for the tilt angle input for the tilting device in the motion mechanism.

Abstract: A detection apparatus includes an emission component, a receiver, and a controller electrically connected with the emission component and the receiver. The emission component includes an emitter configured to emit a signal, a reflector disposed in proximity to the emitter and configured to reflect the signal emitted by the emitter, and a driver connected to the reflector. The controller is configured to control the driver to drive the reflector to rotate.

Abstract: Example embodiments include a motion mechanism that can be coupled between the main body of an unmanned movable object and the optoelectronic scanning module. The motion mechanism can include, e.g., a spinning device and a tilting device. The spinning device can be operable to rotate the scanning module relative to the main body about a spin axis. The tilting device can be operable, e.g., in response to a tilt angle input, to rotate the scanning module about an additional axis that is transverse to the spin axis. Further example embodiments include an orientation sensor installed on the main body of the unmanned movable object. Some embodiments also provide a controller that is configured to receive an orientation signal from the orientation sensor and, based at least in part on the orientation signal, determine a tilt value for the tilt angle input for the tilting device in the motion mechanism.

Abstract: An apparatus includes a light source configured to emit light, a beam shaper configured to project the light to substantially surround the apparatus in a plane and onto an object in the plane, and a receiver configured to project the light reflected from the object in the plane to an image sensor. A distortion parameter of the receiver in conjunction with a difference between the emitted light and the reflected light detected at the image sensor is indicative of at least one of a direction or a distance of the apparatus relative to the object.

Abstract: The present disclosure discloses a voice conversion training method. The method includes: forming a first training data set including a plurality of training voice data groups; selecting two of the training voice data groups from the first training data set to input into a voice conversion neural network for training; forming a second training data set including the first training data set and a first source speaker voice data group; inputting one of the training voice data groups selected from the first training data set and the first source speaker voice data group into the network for training; forming the third training data set including the second source speaker voice data group and the personalized voice data group that are parallel corpus with respect to each other; and inputting the second source speaker voice data group and the personalized voice data group into the network for training.

Abstract: The present disclosure provides a streaming voice conversion method as well as an apparatus and a computer readable storage medium using the same. The method includes: obtaining to-be-converted voice data; partitioning the to-be-converted voice data in an order of data obtaining time as a plurality of to-be-converted partition voices, where the to-be-converted partition voice data carries a partition mark; performing a voice conversion on each of the to-be-converted partition voices to obtain a converted partition voice, where the converted partition voice carries a partition mark; performing a partition restoration on each of the converted partition voices to obtain a restored partition voice, where the restored partition voice carries a partition mark; and outputting each of the restored partition voices according to the partition mark carried by the restored partition voice. In this manner, the response time is shortened, and the conversion speed is improved.

Abstract: The present disclosure relates to an intelligent auxiliary lighting system for a movable platform. The intelligent auxiliary lighting system may include a distance measuring device for obtaining distance information of objects in a surrounding environment where the movable platform is located and an auxiliary lighting system. The auxiliary lighting system may include a light source and a light source control device. The light source control device may be configured to control turning on the light source based on the distance information and/or control brightness of the light source based on the distance information.

Abstract: The present disclosure discloses a voice conversion method. The method includes: obtaining a to-be-converted voice, and extracting acoustic features of the to-be-converted voice; obtaining a source vector corresponding to the to-be-converted voice from a source vector pool, and selecting a target vector corresponding to the target voice from the target vector pool; obtaining acoustic features of the target voice output by the voice conversion model by using the acoustic features of the to-be-converted voice, the source vector corresponding to the to-be-converted voice, and the target vector corresponding to the target voice as an input of the voice conversion model; and obtaining the target voice by converting the acoustic features of the target voice using a vocoder. In addition, a voice conversion apparatus and a storage medium are also provided.

Abstract: A method of controlling a mobile platform includes measuring a distance between the mobile platform and an object when the mobile platform is located at each of a plurality of positions to obtain a plurality of measured distances each being obtained at one of the plurality of positions. Location information of the plurality of positions of the mobile platform is obtained by an inertial measurement unit (IMU) on the mobile platform. The at least two distance sensors being configured to capture data from different directions. The method further includes determining a position of the object based on the plurality of measured distances and the location information and controlling the mobile platform to avoid the object based on the results of the determined position of the object.

Abstract: A distance measurement method and apparatus, and an unmanned aerial vehicle are provided. The method includes: after obtaining a distance measurement value corresponding to a returned distance measurement signal, determining target strength of the distance measurement signal based on the distance measurement value; and determining a distance result value based on received strength of the distance measurement signal, the target strength, and the distance measurement value. The present disclosure improves the accuracy of a distance measurement result.

Abstract: A method of controlling a mobile platform includes measuring a distance between the mobile platform and an object at each of a plurality of positions of the mobile platform, and determining a position of the object based on results of measuring the distance.

Abstract: An unmanned aerial vehicle (UAV) includes a body and a visual obstacle avoidance system. The visual obstacle avoidance system is mounted at the body and includes a binocular vision device and a light compensation device. The light compensation device is located between two cameras of the binocular vision device and includes a light source and a lens. The lens includes a convex surface facing the light source and a light-emitting surface opposite to the convex surface. The convex surface includes an aspheric surface or a freeform surface. The lens is configured to project a light beam emitted by the light source to form a light spot matching a field of view (FOV) of the binocular vision device.

Abstract: A system for detecting objects using ultrasonic waves and methods for making and using the same are provided. The object detection system uniquely encodes each of a plurality of ultrasonic waves and transmit each of the uniquely-encoded ultrasonic waves in a respective direction. The object detection system then receives any of the emitted uniquely-encoded ultrasonic waves that are reflected from an object. By decoding the reflected ultrasonic waves, the object detection system distinguishes among the uniquely-encoded ultrasonic waves and detect the existence and location of the object.

Abstract: A sensor system includes an optical aperture, a light source configured to generate a light pulse along a first optical path, a reflective surface configured to reflect the light pulse from the first optical path to a second optical path for passing through the optical aperture, a beam steering device positioned in the optical aperture and configured to steer the light pulse along different directions to one or more objects in an angle of view of the sensor system, a detector configured to receive a reflected light pulse and convert the reflected light pulse into an electrical signal, the reflected light pulse being reflected back from the one or more objects and passed through the beam steer device, and a spatial filtering device positioned between the beam steering device and the detector to block undesirable light in both the light pulse and the reflected light pulse.

Abstract: A detecting equipment and a movable platform are provided. The detecting equipment includes a light-emitting component, a photosensitive component, a processing component, a first optical element, a second optical element, and a circuit board. The circuit board contains a first through-hole and a second through-hole. A light signal emitted by the light-emitting component is configured to successively pass through the first through-hole and the first optical element, and a light signal reflected by a target object is configured to successively pass through the second optical element and the second through-hole to reach the photosensitive component. According to the light signal emitted by the light-emitting component and the light signal received by the photosensitive component and reflected by the target object, the processing component is configured to determine information associated with the target object.