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

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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Bibliographic Details
Main Authors: Mathieu Joerger, Guillermo Duenas Arana, Matthew Spenko, Boris Pervan
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
navigation
safety
GNSS
LiDAR
detection
integrity monitoring
autonomous cars
Online Access:http://www.mdpi.com/1424-8220/18/8/2740

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