Loopback detection method and device, storage medium and computer program product
A detection method and loopback technology, applied in the field of electronic information, can solve the problems of poor adaptability, low accuracy, and inability to fully adapt to the actual scene, and achieve the effect of improving adaptability and accuracy
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Embodiment 1
[0021] Embodiment 1 of the present application provides a loopback detection method, which is applied to electronic devices. In order to facilitate understanding, the application scenario of the loopback detection method provided in Embodiment 1 of the present application is described. Refer to figure 1 as shown, figure 1 It is a schematic diagram of a scene of a loop detection method provided in Embodiment 1 of the present application. figure 1 The shown scene includes an electronic device 101, and the electronic device 101 may be a device that executes the loopback detection method provided in Embodiment 1 of the present application.
[0022] The electronic device 101 may be a terminal device such as a smart phone, a tablet computer, a notebook computer, or a vehicle-mounted terminal, and the electronic device 101 may also be a network device such as a server. Of course, this is only an example, and does not mean that the application is limited thereto.
[0023] The electronic
Embodiment 2
[0047] Based on the method described in Embodiment 1 above, Embodiment 2 of the present application provides a loopback detection device for performing the method described in Embodiment 1 above. Refer to Figure 6 As shown, the loop detection device 60 includes:
[0048] An acquisition module 601, configured to acquire a data frame to be detected, where the data frame to be detected at least includes: point data in a single frame of point cloud data or a single frame of image data;
[0049] A search module 602, configured to determine a target data frame matching the data frame to be detected within a preset range based on the descriptor of the data frame to be detected;
[0050] Transformation module 603, for determining the transformation matrix between the data frame to be detected and the target data frame based on the matching network;
[0051] The confidence degree module 604 is used to transform the data frame to be detected by using the transformation matrix, input the
Embodiment 3
[0059] Based on the method described in Embodiment 1 above, Embodiment 3 of the present application provides an electronic device for performing the method described in Embodiment 1 above. Refer to Figure 7, shows a schematic structural diagram of an electronic device according to Embodiment 3 of the present application, and the specific embodiment of the present application does not limit the specific implementation of the electronic device.
[0060] Such as Figure 7 As shown, the electronic device 70 may include: a processor (processor) 702 , a communication interface (Communications Interface) 704 , a memory (memory) 706 , and a communication bus 708 .
[0061] in:
[0062] The processor 702 , the communication interface 704 , and the memory 706 communicate with each other through the communication bus 708 .
[0063] The communication interface 704 is used for communicating with other electronic devices or servers.
[0064] The processor 702 is configured to execute the p
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