Fault-Tolerant Multi-Sensor Fusion Positioning System for Autonomous Vehicles in Unknown Outdoor Environments
Author:
Affiliation:
1. School of Mechanical Engineering, Beijing Institute of Technology,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10318219/10318220/10318346.pdf?arnumber=10318346
Reference34 articles.
1. A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR
2. The four key challenges of advanced multisensor navigation and positioning
3. Cpfg-slam: A robust simultaneous localization and mapping based on lidar in off-road environment;ji;2018 IEEE Intelligent Vehicles Symposium (IV),0
4. LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
5. Real-Time Localization and Mapping Utilizing Multi-Sensor Fusion and Visual–IMU–Wheel Odometry for Agricultural Robots in Unstructured, Dynamic and GPS-Denied Greenhouse Environments
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