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Evaluating Localization Accuracy of Automated Driving Systems
Automated driving systems are in need of accurate localization, i.e., achieving accuracies below 0.1 m at confidence levels above 95%. Although during the last decade numerous localization techniques have been proposed, a common methodology to validate their accuracies in relation to a ground-truth...
Autores principales: | Rehrl, Karl, Gröchenig, Simon |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433815/ https://www.ncbi.nlm.nih.gov/pubmed/34502746 http://dx.doi.org/10.3390/s21175855 |
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