Sensor Fusion-Based Localization Framework for Autonomous Vehicles in Rural Forested Environments
Author:
Affiliation:
1. North Carolina Agricultural and Technical State University,Department of Electrical and Computer Engineering,Greensboro,NC,USA,27411
2. TECNALIA Research & Innovation, Basque Research and Technology Alliance (BRTA) Derio,Bizkaia,Spain,48160
Funder
National Science Foundation
Sandia National Laboratories (SNL)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10420842/10420843/10422436.pdf?arnumber=10422436
Reference19 articles.
1. A reconfigurable framework for vehicle localization in urban areas;Viana,2022
2. Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation
3. An Integrated GNSS/INS/LiDAR-SLAM Positioning Method for Highly Accurate Forest Stem Mapping
4. Estimation of breast height diameter and trunk curvature with linear and single-photon LiDARs
5. A Taxonomy to Unify Fault Tolerance Regimes for Automotive Systems: Defining Fail-Operational, Fail-Degraded, and Fail-Safe
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