Enhancing Indoor Robot Pedestrian Detection Using Improved PIXOR Backbone and Gaussian Heatmap Regression in 3D LiDAR Point Clouds

Enhancing Indoor Robot Pedestrian Detection Using Improved PIXOR Backbone and Gaussian Heatmap Regression in 3D LiDAR Point Clouds

Accurate and robust pedestrian detection is fundamental for indoor robotic systems to navigate safely and seamlessly alongside humans in spatially constrained, unpredictable indoor environments. This paper presents a novel method, IRBGHR-PIXOR, a detection framework specifically engineered for pedes...

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Bibliographic Details
Main Authors: Duy Anh Nguyen, Khang Nguyen Hoang, Nguyen Trung Nguyen, Hoang Ngoc Tran
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Robot navigation
pedestrian detection
pedestrian tracking
PIXOR
Gaussian heatmap
point cloud
Online Access:https://ieeexplore.ieee.org/document/10385189/

Internet

https://ieeexplore.ieee.org/document/10385189/

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