Adaptive Self-Learning Framework for Resilient Vehicle Classification Through the Integration of Inductive Loops and LiDAR Sensors

Adaptive Self-Learning Framework for Resilient Vehicle Classification Through the Integration of Inductive Loops and LiDAR Sensors

Inductive loop sensors are widely deployed across the U.S. and can provide vehicle classification data with comparable accuracy to the current axle-based sensor systems when they are enhanced with the inductive signature technology and advanced machine learning models. However, the existing truck po...

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Bibliographic Details
Main Authors: Yiqiao Li, Andre Y. C. Tok, Stephen G. Ritchie
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
Vehicle classification
sensor integration
inductive loop signatures
LiDAR
transfer learning
self-learning
Online Access:https://ieeexplore.ieee.org/document/11021459/
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