Abstract: An unmanned aerial vehicle (UAV) includes a vehicle body, one or more propulsion units coupled to the vehicle body, and one or more processors operably coupled to the one or more propulsion units. The one or more processors are configured to receive one or more original altitude restrictions for the UAV, receive elevation information for an area the UAV is operating in or will operate in, determine one or more modified altitude restrictions based on the one or more original altitude restrictions and the elevation information, compare the one or more modified altitude restrictions with a legal altitude restriction to determine whether the one or more modified altitude restrictions are legally compliant, and if so, control the one or more propulsion units to cause the UAV to comply with the one or more modified altitude restrictions while operating in the area.

Abstract: An intra-frame decoding method includes obtaining, from a video code stream, prediction mode information of a first signal component of a current block; determining a prediction mode of the first signal component of the current block from a prediction mode set of the first signal component of the current block according to the prediction mode information of the first signal component of the current block, where the prediction mode set of the first signal component of the current block includes at least one of a linear model above (LMA) mode and a linear model left (LML) mode; obtaining a predicted value of a first signal component sampling point of the current block; and obtaining a reconstructed value of the first signal component sampling point of the current block according to the predicted value of the first signal component sampling point of the current block.

Abstract: Systems, methods, and devices are provided for providing flight response to flight-restricted altitudes. The altitude of an unmanned aerial vehicle (UAV) may be compared with an altitude restriction. If needed a flight-response measure may be taken by the UAV to prevent the UAV from flying in a restricted altitude. The altitude measurement of the UAV and/or altitude restriction of the UAV may be modified for improved performance. Different flight-response measures may be taken depending on preference and the rules of a jurisdiction within which the UAV falls.

Abstract: A double-robot system for detecting a flaw of a rim or a spoke includes a movable cart, a lifting platform, a lifting rotating mechanism, and robots. The lifting platform is movably connected to the movable cart in a vertical direction. The lifting rotating mechanism is disposed on the lifting platform. A wheel lifting arm is disposed on each of the left side and the right side of the lifting rotating mechanism. The wheel lifting arms are used for lap joint on a rail where a wheel in detection is located. One robot is fixedly connected to each of the front side and the rear side of the lifting rotating mechanism. Each robot is provided with a tread carrier. The lifting rotating mechanism is also provided with two inner carriers.

Abstract: An intra-frame decoding method includes obtaining, from a video code stream, prediction mode information of a first signal component of a current block; determining a prediction mode of the first signal component of the current block from a prediction mode set of the first signal component of the current block according to the prediction mode information of the first signal component of the current block, where the prediction mode set of the first signal component of the current block includes at least one of a linear model above (LMA) mode and a linear model left (LML) mode; obtaining a predicted value of a first signal component sampling point of the current block; and obtaining a reconstructed value of the first signal component sampling point of the current block according to the predicted value of the first signal component sampling point of the current block.

Abstract: An intra-frame decoding method includes obtaining, from a video code stream, prediction mode information of a first signal component of a current block; determining a prediction mode of the first signal component of the current block from a prediction mode set of the first signal component of the current block according to the prediction mode information of the first signal component of the current block, where the prediction mode set of the first signal component of the current block includes at least one of a linear model above (LMA) mode and a linear model left (LML) mode; obtaining a predicted value of a first signal component sampling point of the current block; and obtaining a reconstructed value of the first signal component sampling point of the current block according to the predicted value of the first signal component sampling point of the current block.

Abstract: Techniques are disclosed by which a coding parameter is determined to encode video data resulting in encoded video data possessing a highest possible video quality. Features may be extracted from an input video sequence. The extracted features may be compared to features described in a model of coding parameters generated by a machine learning algorithm from reviews of previously-coded videos, extracted features of the previously-coded videos, and coding parameters of the previously-coded videos. When a match is detected between the extracted features of the input video sequence and extracted features represented in the model, a determination may be made as to whether coding parameters that correspond to the matching extracted feature correspond to a tier of service to which the input video sequence is to be coded.

Abstract: A delivering method using an unmanned aerial vehicle includes configuring a pre-set condition, locking a cargo, acquiring verification information about a recipient, comparing the verification information with the pre-set condition, and determining that verification is passed to unlock the cargo when the verification information is consistent with the pre-set condition.

Abstract: A system for automatically adjusting a baseline of an imaging system for stereoscopic imaging and methods for making and using same. The imaging system includes a plurality of imaging devices that cooperate via a baseline adjustment mechanism. The imaging devices can acquire images of an object of interest and ascertain an object distance between the stereoscopic imaging system and the object of interest using triangulation. Based on the object distance, the baseline adjustment mechanism automatically adjusts a baseline between any pair of imaging devices. The baseline can be reduced when the object of interest is proximate to the imaging system and can be increased when the object of interest is distal. Once the baseline has been adjusted, one or more extrinsic parameters of the imaging devices are calibrated using a two-step optimization method. The imaging system is suitable for use aboard a mobile platform such as an unmanned aerial vehicle.

Abstract: Systems, methods, and devices are provided for providing flight response to flight-restricted altitudes. The altitude of an unmanned aerial vehicle (UAV) may be compared with an altitude restriction. If needed a flight-response measure may be taken by the UAV to prevent the UAV from flying in a restricted altitude. The altitude measurement of the UAV and/or altitude restriction of the UAV may be modified for improved performance. Different flight-response measures may be taken depending on preference and the rules of a jurisdiction within which the UAV falls.

Abstract: An intra-frame decoding method includes obtaining, from a video code stream, prediction mode information of a first signal component of a current block; determining a prediction mode of the first signal component of the current block from a prediction mode set of the first signal component of the current block according to the prediction mode information of the first signal component of the current block, where the prediction mode set of the first signal component of the current block includes at least one of a linear model above (LMA) mode and a linear model left (LML) mode; obtaining a predicted value of a first signal component sampling point of the current block; and obtaining a reconstructed value of the first signal component sampling point of the current block according to the predicted value of the first signal component sampling point of the current block.

Abstract: Systems, methods, and devices are provided for providing flight response to flight-restricted altitudes. The altitude of an unmanned aerial vehicle (UAV) may be compared with an altitude restriction. If needed a flight-response measure may be taken by the UAV to prevent the UAV from flying in a restricted altitude. The altitude measurement of the UAV and/or altitude restriction of the UAV may be modified for improved performance. Different flight-response measures may be taken depending on preference and the rules of a jurisdiction within which the UAV falls.

Abstract: Systems, methods, and devices are provided for providing flight response to flight-restricted altitudes. The altitude of an unmanned aerial vehicle (UAV) may be compared with an altitude restriction. If needed a flight-response measure may be taken by the UAV to prevent the UAV from flying in a restricted altitude. The altitude measurement of the UAV and/or altitude restriction of the UAV may be modified for improved performance. Different flight-response measures may be taken depending on preference and the rules of a jurisdiction within which the UAV falls.

Abstract: An intra-frame decoding method is provided. The method includes: obtaining, from a video code stream, prediction mode information of a first signal component of a current block; determining a prediction mode of the first signal component of the current block from a prediction mode set of the first signal component of the current block according to the prediction mode information of the first signal component of the current block, where the prediction mode set of the first signal component of the current block includes at least one of a linear model above (LMA) mode and a linear model left (LML) mode; obtaining a predicted value of a first signal component sampling point of the current block; and obtaining a reconstructed value of the first signal component sampling point of the current block according to the predicted value of the first signal component sampling point of the current block.

Abstract: A method decodes a picture in a form of a bitstream, wherein the picture includes components, by first receiving the bitstream in a decoder. The decoder includes an intra boundary filtering process. A flag is decoded from the bitstream. Then, the intra boundary filtering process is applied, according to the flag.

Abstract: A method for decoding a bitstream, including compressed pictures of a video, wherein each picture includes one or more slices, wherein each slice includes one or more blocks of pixels, and each pixel has a value corresponding to a color, for each slice, first obtains a reduced number of colors corresponding to the slice, wherein each color is represented as a color triplet and the reduced number of colors is less than or equal to a number of colors in the slice. Then, for each block, a prediction mode is determined, wherein an independent uniform prediction mode is included in a candidate set of prediction modes. For each block, a predictor block is generated, wherein all values of the predictor block have a uniform value according to a color index when the prediction mode is set as the independent uniform prediction mode. Lastly, the predictor block is added to a reconstructed residue block to form a decoded block as output.

Abstract: Systems, methods, and apparatus for adaptively zeroing out transform coefficients utilizing a bit-stealing parameter are presented herein. A partitioning component can be configured to separate an image into blocks of video data. Further, a frequency transform component can be configured to transform pixels of a block of the blocks into transform coefficients. Furthermore, a bit-stealing quantization component configured to predefine quantization intervals. Moreover, the bit-stealing quantization component can modify a size of a quantization interval of the quantization intervals based on a variable bit-stealing parameter. Further, the bit-stealing component can quantize a transform coefficient of the transform coefficients, based on the quantization interval, to a quantized coefficient value of quantized coefficient values.

Abstract: An intra-frame decoding method is provided. The method includes: obtaining, from a video code stream, prediction mode information of a first signal component of a current block; determining a prediction mode of the first signal component of the current block from a prediction mode set of the first signal component of the current block according to the prediction mode information of the first signal component of the current block, where the prediction mode set of the first signal component of the current block includes at least one of a linear model above (LMA) mode and a linear model left (LML) mode; obtaining a predicted value of a first signal component sampling point of the current block; and obtaining a reconstructed value of the first signal component sampling point of the current block according to the predicted value of the first signal component sampling point of the current block.

Abstract: Data encoding and/or decoding techniques are applied in a codec system. Pixel parameters and error thresholds can be determined. A prediction mode can be determined. Further, a prediction mode can predict values of an encoded and/or decoded media item. In one aspect, compositions of media items can determine prediction modes.

Abstract: Systems, methods, and apparatus for adaptively zeroing out transform coefficients utilizing a bit-stealing parameter are presented herein. A partitioning component can be configured to separate an image into blocks of video data. Further, a frequency transform component can be configured to transform pixels of a block of the blocks into transform coefficients. Furthermore, a bit-stealing quantization component configured to predefine quantization intervals. Moreover, the bit-stealing quantization component can modify a size of a quantization interval of the quantization intervals based on a variable bit-stealing parameter. Further, the bit-stealing component can quantize a transform coefficient of the transform coefficients, based on the quantization interval, to a quantized coefficient value of quantized coefficient values.