10 results about "Extended object" patented technology

The embodiment of the invention discloses an extended target detection method, belongs to the technical field of radar detection, and solves the problem that the detection performance is reduced due to the fact that excessive noise is introduced or target energy is omitted during energy accumulation in an existing extended target detection method. Comprising the following steps: constructing a dynamic planning accumulation detection model of a distance extension target based on an echo matrix; on the basis of the minimum energy loss criterion, balancing parameters are configured for the value function, a double-probability joint constraint optimization model about the target energy and the noise energy is established, and the balancing parameters are determined by solving the optimization model; updating a value function and a state transition matrix of the joint state variable among the plurality of pulses through recursive operation based on the trade-off parameter; and for the value function obtained after updating is completed, extracting a corresponding energy ridge line, constructing an approximate probability model of the variation amplitude of the energy ridge line, and obtaining a target extension length value by solving an optimal variation threshold of the approximate probability model under a preset false alarm probability.

The invention relates to a method for detecting objects in a multidimensional radar spectrum, in which object hypotheses are formed on the basis of the signal distribution (10) in the spectrum, the object hypotheses are checked for plausibility on the basis of a number of predefined criteria and selected reflection points (16, 18) belonging to the plausibility-checked objects are represented in a point cloud, characterised in that the object hypotheses comprise hypotheses for extended objects for which the signal distribution in the spectrum extends over a plurality of adjacent bins (12), and in that, in order to check the plausibility of these objects, the signal distributions (10) in the spectrum are compared with stored model distributions for standard objects.

Method for detecting objects in a multidimensional radar spectrum, in which object hypotheses are formed based on the signal distribution (10) in the spectrum, the object hypotheses are made plausible based on a number of predefined criteria, and selected reflection points (16, 18) belonging to the made plausible objects are represented in a point cloud, characterized in that the object hypotheses include hypotheses for extended objects for which the signal distribution in the spectrum extends over several neighboring bins (12), and that, to make these objects plausible, the signal distributions (10) in the spectrum are compared with stored model distributions for standard objects.

According to one example, a method includes receiving from a client device, a data object for storage within an object storage system, performing a plurality of hashes on the data object tenant profile data associated with the data object to determine one of a plurality of object storage devices to which to store the data object, and autoscaling the object storage device based on active compute jobs associated with data objects stored on the object storage device.

An object store service is operated as a front-end service that stores objects of multiple buckets as objects of multiple back-end object stores. The object store service receives an object to be stored at a particular bucket of the multiple buckets. An object store operation is issued to a particular back-end object store of the multiple of back-end object stores having the particular bucket. The object store operation includes one or more characteristics to be associated with the object stored at the particular bucket.

The invention provides a method for extracting production data from a board graph, which comprises the following steps of: obtaining an object set comprising geometric elements, text labels and symbol labels in a design drawing, and comparing object attributes by traversing drawing data to finish preliminary screening to obtain an expanded object set; screening specific objects in the expanded object set according to a preset condition, and identifying geometric elements, text labels and symbol marks which meet a preset type requirement to form a screened object subset; and extracting detailed information of a target object based on the grouped object set, analyzing a geometrical relationship between the text annotation content and the object to complete extraction, and binding the extracted information with a grouping result to form a structured object description.

The embodiment of the application discloses a kind of extended target detection methods, belong to radar detection technical field, solve the problem that existing extended target detection method is in energy accumulation or introduces too much noise, or miss target energy, causes detection performance to decline.Problems include, based on echo matrix, the dynamic programming accumulation detection model of range extended target is constructed;Based on minimum energy loss criterion, the trade-off parameter is configured to value function, a double-probability joint constraint optimization model about target energy and noise energy is established to determine the trade-off parameter by solving the optimization model;Based on trade-off parameter, the value function and state transition matrix of joint state variable between multiple pulses are updated by recursive operation;After the value function obtained after updating is completed, the corresponding energy ridge line is extracted, and an approximate probability model of the change amplitude of the energy ridge line is constructed, and the optimal change threshold under the preset false alarm probability is obtained by solving the approximate probability model.