Real-Time Detection of Non-Stationary Objects Using Intensity Data in Automotive LiDAR SLAM

Real-Time Detection of Non-Stationary Objects Using Intensity Data in Automotive LiDAR SLAM

This article aims at demonstrating the feasibility of modern deep learning techniques for the real-time detection of non-stationary objects in point clouds obtained from 3-D light detecting and ranging (LiDAR) sensors. The motion segmentation task is considered in the application context of automoti...

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Bibliographic Details
Main Authors: Tomasz Nowak, Krzysztof Ćwian, Piotr Skrzypczyński
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
3-D LiDAR
SLAM
intensity data
motion segmentation
deep learning
Online Access:https://www.mdpi.com/1424-8220/21/20/6781

Internet

https://www.mdpi.com/1424-8220/21/20/6781

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