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Obstacle detection method, device, apparatus and storage medium

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TLDR
In this paper, an obstacle detection method, a device, an apparatus and a storage medium is presented. But the method comprises steps of acquiring acquired acquired 3D point cloud in a running process of an unmanned vehicle, projecting the 3d point cloud to two-dimensional grids and acquiring feature information of each grid; inputting the feature information from each grid into a prediction model obtained through the pre-training and obtaining an obstacle prediction parameter of the grid; and according to the obstacle prediction parameters, carrying out grid clustering so as to obtain the obstacle detection result.
Abstract
The invention discloses an obstacle detection method, a device, an apparatus and a storage medium. The method comprises steps of acquiring acquired 3D point cloud in a running process of an unmanned vehicle; projecting the 3D point cloud to two-dimensional grids and acquiring feature information of each grid; inputting the feature information of each grid into a prediction model obtained through the pre-training and obtaining an obstacle prediction parameter of each grid; and according to the obstacle prediction parameter of each grid, carrying out grid clustering so as to obtain an obstacle detection result. According to the invention, accuracy of detection results can be improved.

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Citations
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References
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TL;DR: In this paper, a method of simultaneous localization and mapping includes initializing a robot pose and a particle model of a particle filter, each having an associated map, robot pose, and weight.
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