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Dec 20, 2023 · This paper proposes an Automatic Background Filtering method with innovative Frame Selection and Background Matrix Extraction modules (ABF-FSBME) to address ...
Abstract— The vehicle-road cooperative perception needs high accuracy and real-time automatic background filtering to sep- arate background objects from ...
Background filtering is the preprocessing step to obtain the HRMTD of different roadway users from roadside LiDAR data. It can significantly reduce the data ...
Jun 17, 2018 · An algorithm is proposed in this paper, based on the spatial distribution of laser points, which filters both static and moving background ...
This paper presents an innovative method for fast filtering background objects from roadside LiDAR data and demonstrates its capabilities to achieve higher ...
Background filtering for roadside Light Detecting and Ranging (LiDAR) data could benefit detection of road users with high frequency and accuracy.
Jul 11, 2024 · Roadside LiDAR perception systems typically begin by performing background filtering, followed by clustering the remaining points into point ...
The background filtering method based on point cloud mapping aims to encode the temporal point cloud according to the azimuth angle and the ID of the laser beam ...
In this paper, we proposed a novel background filtering algorithm based on density variation for low-channel roadside LiDAR.
Aug 19, 2020 · The roadside LiDAR sensor gives a solution to providing HRMTD from real-time 3D point clouds of its scanned objects. "Automatic Background ...
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