A Fallback Localization Algorithm for Automated Vehicles Based on Object Detection and Tracking

A Fallback Localization Algorithm for Automated Vehicles Based on Object Detection and Tracking

Integrating Automated Vehicles (AVs) into everyday traffic is an ongoing challenge. Ensuring the safety of all involved agents, even in the presence of system failures, is crucial, especially in urban environments. This paper introduces a fallback-oriented localization algorithm for AVs designed to...

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Bibliographic Details
Main Authors: Mario Rodriguez-Arozamena, Jose Matute, Javier Araluce, Lukas Kuschnig, Christoph Pilz, Markus Schratter, Joshue Perez Rastelli, Asier Zubizarreta
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Vehicular Technology
Subjects:
Automated vehicles
fallback
landmark localization
trilateration
Online Access:https://ieeexplore.ieee.org/document/10963758/
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