Target object detection method and device, electronic equipment and storage medium
A technology of target objects and detection methods, which is applied in image data processing, instruments, biological neural network models, etc., and can solve problems such as high delay, long time consumption, and complicated target object detection process
Pending Publication Date: 2022-01-25
SHANGHAI SENSETIME LINGANG INTELLIGENT TECH CO LTD
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Detection and segmentation algorithms based on convolutional neural networks generally organize a complex calculation model through a large number of parameters to complete specific tasks. Such calculation models often have extremely high requirements on the performance of computing equipment, and there are computational The problems of large amount, large power consumption, and high delay make the detection process of the target object more complex, computationally intensive, and time-consuming
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[0066] In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments It is only a part of the embodiments of the present disclosure, but not all the embodiments. The components of the disclosed embodiments generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the present disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed disclosure, but merely represents selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in t...
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The invention provides a target object detection method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining target point cloud data of a target scene collected by a radar apparatus; generating at least one target sparse matrix corresponding to the target point cloud data based on the target point cloud data, where the target sparse matrix is used for representing whether target objects exist at different positions of the target scene; and determining three-dimensional detection data of a target object included in the target scene based on the at least one target sparse matrix and the target point cloud data.
Description
technical field [0001] The present disclosure relates to the technical field of laser radar, and in particular, to a target object detection method, device, electronic equipment, and storage medium. Background technique [0002] Generally, the object detection and segmentation algorithm is the core algorithm of many artificial intelligence applications. Wait for objects to detect and avoid collisions. [0003] Convolutional neural network is a special neural network structure that is widely used in artificial intelligence scenarios. Detection and segmentation algorithms based on convolutional neural networks generally organize a complex calculation model through a large number of parameters to complete specific tasks. Such calculation models often have extremely high requirements on the performance of computing equipment, and there are computational The problems of large amount, large power consumption, and high delay make the detection process of the target object more co...
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IPC IPC(8): G06V10/44G06T7/00G06T7/10G06T7/136G06T5/30G06N3/04
CPCG06T7/0002G06T7/10G06T7/136G06T5/30G06T2207/10028G06T2207/20081G06T2207/20084G06T2207/20221G06N3/045G06N3/04G06T7/00G06V10/44
Inventor 付万增王哲石建萍
Owner SHANGHAI SENSETIME LINGANG INTELLIGENT TECH CO LTD