Abstract: A data processing method, a control apparatus and a storage medium are provided. The method includes: obtain three-dimensional data of a sampling point, the three-dimensional data of the sampling point is collected by a point cloud sensor carried by a movable platform during a movement of the movable platform; obtain first position and attitude data of the movable platform and/or the point cloud sensor when the sampling point is collected; project the sampling point onto an observation plane according to the three-dimensional data of the sampling point and the first position and attitude data; and generate a point cloud picture according to the sampling point projected onto the observation plane, the point cloud picture is configured to be displayed on a user apparatus of the movable platform.

Abstract: A method for controlling a movable object includes detecting a live object within a proximity of the movable object, determining an operation mode to operate the movable object with the live object detected within the proximity of the movable object, and applying a control scheme associated with the operation mode to control an operation of the movable object.

Abstract: Techniques are disclosed for mapping in a movable object environment. A method of mapping may include obtaining mapping data from a scanning sensor of a compact payload coupled to an unmanned aerial vehicle (UAV) the compact payload comprising the scanning sensor, one or more cameras, and an inertial navigation system (INS) configured to be synchronized using a reference clock signal, obtaining feature data from a first camera of the one or more cameras, obtaining positioning data from the INS, associating the mapping data with the positioning data based at least on the reference clock signal to generate geo-referenced data, and storing the geo-referenced data and the feature data to a removable storage medium.

Abstract: An image processing device acquires at least two first images and down-samples the at least two first images to obtain at least two second images, where a first resolution of the at least two first images is higher than a second resolution of the at least two second images. By using the at least two first images and the at least two second images, the image processing device respectively determines a first depth map corresponding to the at least two first images under a limit of a first disparity threshold, and a second depth map corresponding to the at least two second images under a limit of a second disparity threshold, where the second disparity threshold is greater than the first disparity threshold. The image processing device then combines the determined first depth map with the second depth map to generate a combined depth map.

Abstract: A vehicle detection method includes obtaining a target image and depth information of each pixel in the target image, obtaining a distance value of a vehicle candidate area in the target image according to the target image and the depth information, and determining a detection model corresponding to the vehicle candidate area according to the distance value of the vehicle candidate area.

Abstract: A vehicle detection method includes obtaining a target image and depth information of each pixel in the target image, obtaining a distance value of a vehicle candidate area in the target image according to the target image and the depth information, and determining a detection model corresponding to the vehicle candidate area according to the distance value of the vehicle candidate area.

Abstract: Identifying interfering features in the detection of an environment adjacent to a mobile platform, and associated systems and methods are disclosed herein. A representative method can include identifying candidate regions from a color image obtained by a color vision sensor carried by a mobile platform, filtering out a first region subset of regions based, at least in part, on non-image data obtained by a second sensor carried by the mobile platform, determining a second subset of regions as corresponding to an interfering feature based, at least in part, on color information, and performing environment detection based, at least in part, on the second subset of regions. Furthermore, the method can comprise transforming data corresponding to the subset of regions to integrate with non-color environment data obtained from another sensor carried by the mobile platform.

Abstract: An image processing device acquires at least two first images and at least two second images, where a resolution of the at least two first images is a first resolution, a resolution of the at least two second images is a second resolution, and the second resolution is lower than the first resolution. By using the at least two first images and the at least two second images, the image processing device respectively determines a first depth map corresponding to the at least two first images under a limit of a first disparity threshold, and a second depth map corresponding to the at least two second images under a limit of a second disparity threshold, where the second disparity threshold is greater than the first disparity threshold. The image processing device then combines the determined first depth map with the second depth map to generate a combined depth map.

Abstract: An obstacle avoidance method includes obtaining a depth image photographed by a photographing device mounted at a movable platform, recognizing a moving object based on the depth image, determining a moving speed vector of the moving object, determining a potential collision region where the moving object is likely to collide with the movable platform based on the moving speed vector of the moving object; and controlling the movable platform to perform an obstacle avoidance process in the potential collision region.

Abstract: A disparity map generation method, includes: acquiring a first left-view and a first right-view; generating a first initial disparity map according to the first left-view and the first right-view, by using an SGM acceleration algorithm; generating a second left-view and a second right-view according to the first left-view and the first right-view, that the second left-view and the second right-view are respectively identical to views obtained by rotating the first left-view and the first right-view by 180 degrees, or the second left-view and the second right-view are respectively identical to views obtained by rotating the first right-view and the first left-view by 180 degrees; generating a second initial disparity map according to the second left-view and the second right-view, by using the SGM acceleration algorithm; and determining a target disparity map of the first left-view and the first right-view according to the first initial disparity map and the second initial disparity map.

Abstract: An image processing device acquires at least two first images and at least two second images, where a resolution of the at least two first images is a first resolution, a resolution of the at least two second images is a second resolution, and the second resolution is lower than the first resolution. By using the at least two first images and the at least two second images, the image processing device respectively determines a first depth map corresponding to the at least two first images under a limit of a first disparity threshold, and a second depth map corresponding to the at least two second images under a limit of a second disparity threshold, where the second disparity threshold is greater than the first disparity threshold. The image processing device then combines the determined first depth map with the second depth map to generate a combined depth map.

Abstract: Speckle detection method, system, storage medium and computer program product are provided. The speckle detection method includes acquiring a thumbnail image of a to-be-processed image; performing a speckle detection on the thumbnail image to obtain speckled pixels of the thumbnail image; and determining, according to the speckled pixels of the thumbnail image, speckled pixels of the to-be-processed image.

Abstract: An exposure control method is provided for a control device. The method includes acquiring an output image from data outputted by a depth sensor according to a current exposure parameter, determining a target image of a target object in the output image, and determining a first exposure parameter according to the brightness of the target image. The first exposure parameter is used for controlling the next exposure of the depth sensor.

Abstract: The present disclosure provides a method and apparatus for flight control and an aerial vehicle thereof. The flight control used in an aerial vehicle includes the following steps: identifying a reference object in a flight environment; obtaining a distance between the aerial vehicle and the reference object; acquiring a flight strategy corresponding to the distance based on a correspondence between the distance between the aerial vehicle and the reference object and the flight strategy; and, controlling the aerial vehicle to fly based on the flight strategy. The method and apparatus for flight control and an aerial vehicle thereof can be used to perform effective obstacle avoidance.

Abstract: A method for operating a movable object includes acquiring a plurality of image frames captured within a predefined time window by an imaging device borne by the movable object moving along a navigation path, identifying one or more objects adjacent the movable object by measuring pixel movements within the plurality of image frames, estimating movements of the one or more objects relative to the movable object using dimensional variations of the one or more objects within the plurality of image frames, and adjusting the navigation path of the movable object in accordance with the estimated movements of the one or more objects.

Abstract: A method for controlling a movable object includes detecting a live object within a proximity of the movable object, determining an operation mode to operate the movable object with the live object detected within the proximity of the movable object, and applying a control scheme associated with the operation mode to control an operation of the movable object.

Abstract: A method of controlling a movable object includes obtaining an image of a surrounding of the movable object, obtaining a plurality of depth layers based on the image; projecting a safety zone of the movable object onto at least one of the depth layers, determining whether an object is an obstacle based on a position of the object on the at least one of the depth layers relative to the projected safety zone, and adjusting a travel path of the movable object to travel around the obstacle.