Research on Intelligent Car Navigation Technology Based on Multi-Sensor Fusion

This study is based on the ORB-SLAM3 framework, integrating LiDAR point cloud information, and proposes a deep learning-based feature extraction and matching method, as well as a loop closure detection method based on point cloud completion. The approach improves feature extraction speed, accuracy, and loop closure detection robustness, outperforming ORB-SLAM3 in complex outdoor scenarios.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/icetci64844.2025.11084153
Primary Topic
E-commerce and Technology Innovations
Type
article
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article

Research on Intelligent Car Navigation Technology Based on Multi-Sensor Fusion

Zhongyuan Peng
E-commerce and Technology Innovations
article

Research on Intelligent Car Navigation Technology Based on Multi-Sensor Fusion

Zhongyuan Peng
article en

Abstract

This study is based on the ORB-SLAM3 framework, integrating LiDAR point cloud information, and proposes a deep learning-based feature extraction and matching method, as well as a loop closure detection method based on point cloud completion. The approach improves feature extraction speed, accuracy, and loop closure detection robustness, outperforming ORB-SLAM3 in complex outdoor scenarios.

Tianjin University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 66%
E-commerce and Technology Innovations
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Research on Intelligent Car Navigation Technology Based on Multi-Sensor Fusion — Zhongyuan Peng · (2025) | TGRS Research Map | TGRS