Robust Scan Registration for Navigation in Forest Environment Using Low-Resolution LiDAR Sensors

Keyphrases

• Adaptive Pre-processing 25%
• Complex Working Conditions 25%
• Diameter Measurement 50%
• Estimation Method 25%
• Fast Point Feature Histogram 25%
• Feature-based Registration 25%
• Forest Environment 100%
• Forest Machine 50%
• Forestry 25%
• Generalized Features 25%
• Harmful Working Conditions 25%
• Heuristic Approach 25%
• Human Operator 25%
• Labor Shortage 25%
• LiDAR Sensor 100%
• Local Maps 25%
• Machine Automation 25%
• Mean Absolute Error 25%
• Navigation Accuracy 25%
• Pose Correction 25%
• Preprocessing Techniques 25%
• Public Dataset 25%
• Radius Search 25%
• Registration Algorithm 25%
• Robust SLAM 25%
• Scan Registration 100%
• Search Parameters 25%
• Sensory Modality 25%
• Solid-state LiDAR 50%
• Trajectory Map 25%
• Tree Detection 50%
• Tree Localization 25%
• Treemaps 25%
• Treewidth 50%

Computer Science

• Estimation Method 50%
• Global Positioning System 50%
• Human Operator 50%
• Mean Absolute Error 50%
• Preprocessing 100%
• Sensory Modality 50%

Earth and Planetary Sciences

• Estimation Method 50%
• Field of View 50%
• Global Positioning System 50%
• Histogram 50%
• Preprocessing 100%