The NavINST Dataset for Multi-Sensor Autonomous Navigation

The NavINST Dataset for Multi-Sensor Autonomous Navigation

The Navigation and Instrumentation (NavINST) laboratory has developed a comprehensive multisensory dataset from various road-test trajectories in urban environments, featuring diverse lighting conditions, including indoor garage scenarios with dense 3D maps. This dataset includes multiple commercial...

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Bibliographic Details
Main Authors: Paulo Ricardo Marques De Araujo, Eslam Mounier, Qamar Bader, Emma Dawson, Shaza I. Kaoud Abdelaziz, Ahmed Zekry, Mohamed Elhabiby, Aboelmagd Noureldin
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Autonomous vehicles
multi-sensor system dataset
indoor navigation
urban navigation
solid-state LiDAR
3D maps
Online Access:https://ieeexplore.ieee.org/document/10980246/
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https://ieeexplore.ieee.org/document/10980246/

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