A New Approach to Unwanted-Object Detection in GNSS/LiDAR-Based Navigation

In this paper, we develop new methods to assess safety risks of an integrated GNSS/LiDAR navigation system for highly automated vehicle (HAV) applications. LiDAR navigation requires feature extraction (FE) and data association (DA). In prior work, we established an FE and DA risk prediction algorith...

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Detalles Bibliográficos
Autores principales: Joerger, Mathieu, Duenas Arana, Guillermo, Spenko, Matthew, Pervan, Boris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111790/
https://www.ncbi.nlm.nih.gov/pubmed/30127312
http://dx.doi.org/10.3390/s18082740

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111790/
https://www.ncbi.nlm.nih.gov/pubmed/30127312
http://dx.doi.org/10.3390/s18082740

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