Downsampling of a 3D LiDAR Point Cloud by a Tensor Voting Based Method

Keyphrases

• Point Cloud 100%
• Downsampling 100%
• Tensor Voting 100%
• 3D LiDAR Point Cloud 100%
• Voting Methods 100%
• Geometric Features 66%
• Simultaneous Localization and Mapping 33%
• 3D Environment 33%
• High Density 33%
• Geometric Attributes 33%
• 3D Perception 33%
• 3D Object Reconstruction 33%
• Pose Estimation 33%
• 3D LiDAR 33%
• Object Tracking 33%
• Perception Problem 33%
• Number of Points 33%
• Point Cloud Registration 33%
• N-dimensional Space 33%

Engineering

• Point Cloud 100%
• Tensor Voting 100%
• Geometric Feature 40%
• Dimensional Space 20%
• Multiple Point 20%
• Pose Estimation 20%
• Data Format 20%

Mathematics

• Tensor 100%
• Point Cloud Registration 33%
• Simultaneous localization and mapping 33%
• Dimensional Space 33%
• Multiple Point 33%
• Tracking Object 33%
• Data Format 33%