Vehicle Egomotion Estimation Through IMU-RADAR Tight-Coupling

The current state-of-the-art vehicle egomotion state estimation systems are limited in their usage for advanced driver-assistance systems (ADAS), as the estimation accuracy is limited in driving scenarios where large amounts of wheel slip occur. Addressing the fundamental limitations of vehicle egom...

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Bibliographic Details

Published in:	IEEE Open Journal of Intelligent Transportation Systems
Main Authors:	Stijn Harbers, Jens Kalkkuhl, Tom van der Sande
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	ADAS egomotion IMU Kalman filter RADAR sensor fusion
Online Access:	https://ieeexplore.ieee.org/document/10907934/