MOBILE POINT CLOUD SEMANTIC SEGMENTATION USING ARTIFICIAL NEURAL NETWORK AND APPROPRIATE PARAMETER DETERMINATION

Keyphrases

• Artificial Neural Network 100%
• Point Cloud Segmentation 100%
• Parameter Determination 100%
• Paris 100%
• Multilayer Perceptron 80%
• Semantic Segmentation 60%
• Point Cloud 40%
• Eigenbasis 40%
• Remote Sensing 20%
• Computer Vision 20%
• Robotics 20%
• Feature Space 20%
• Photogrammetry 20%
• Information Extraction 20%
• Training Samples 20%
• Real Part 20%
• Artificial Neural Network Method 20%
• Output Layer 20%
• Input Layer 20%
• Hidden Layer 20%
• Parameter Selection 20%
• Local Geometry 20%
• Nonlinear Problems 20%
• LiDAR Processing 20%
• Support Radius 20%
• Hidden Layer Size 20%
• CARLA 20%
• Nonlinear Input 20%
• MIoU 20%

Engineering

• Point Cloud 100%
• Artificial Neural Network 100%
• Perceptron 100%
• Hidden Layer 50%
• Metrics 25%
• Computervision 25%
• Real Part 25%
• Output Layer 25%
• Input Layer 25%
• Nonlinear Problem 25%
• Collected Data 25%
• Feature Space 25%