Novelty Detection in Autonomous Driving: A Generative Multi-Modal Sensor Fusion Approach

Novelty Detection in Autonomous Driving: A Generative Multi-Modal Sensor Fusion Approach

This paper presents a bio-inspired, generative Multi-Modal Sensor Fusion (MSF) framework to effectively detecting novel and dynamic situations in the surroundings of Autonomous Vehicle (AV). The MSF framework fuses both proprioceptive (wheel odometry) and exteroceptive (LiDAR point-clouds) sensory i...

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Bibliographic Details
Main Authors: Hafsa Iqbal, Haleema Sadia, Abdulla Al-Kaff, Fernando Garcie
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
Generative multi-modal sensor fusion framework
autonomous vehicles
exteroceptive and proprioceptive sensory inputs
novelty detection
Bayesian filtering
Online Access:https://ieeexplore.ieee.org/document/11037519/
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https://ieeexplore.ieee.org/document/11037519/

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