LiDAR Sensor Parameter Augmentation and Data-Driven Influence Analysis on Deep-Learning-Based People Detection

LiDAR Sensor Parameter Augmentation and Data-Driven Influence Analysis on Deep-Learning-Based People Detection

Light detection and ranging (LiDAR) sensor technology for people detection offers a significant advantage in data protection. However, to design these systems cost- and energy-efficiently, the relationship between the measurement data and final object detection output with deep neural networks (DNNs...

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Bibliographic Details
Main Authors: Lukas Haas, Florian Sanne, Johann Zedelmeier, Subir Das, Thomas Zeh, Matthias Kuba, Florian Bindges, Martin Jakobi, Alexander W. Koch
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
deep learning
LiDAR sensor
neural networks
people detection
point cloud
point cloud augmentation
Online Access:https://www.mdpi.com/1424-8220/25/10/3114
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