Kalman Filter-Based Fusion of LiDAR and Camera Data in Bird’s Eye View for Multi-Object Tracking in Autonomous Vehicles

Kalman Filter-Based Fusion of LiDAR and Camera Data in Bird’s Eye View for Multi-Object Tracking in Autonomous Vehicles

Accurate multi-object tracking (MOT) is essential for autonomous vehicles, enabling them to perceive and interact with dynamic environments effectively. Single-modality 3D MOT algorithms often face limitations due to sensor constraints, resulting in unreliable tracking. Recent multi-modal approaches...

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Bibliographic Details
Main Authors: Loay Alfeqy, Hossam E. Hassan Abdelmunim, Shady A. Maged, Diaa Emad
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
sensor fusion
bird’s-eye-view
multi-object tracking
structure similarity
data association
Kalman filter
Online Access:https://www.mdpi.com/1424-8220/24/23/7718
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