3D OBJECT DETECTION from MOBILE LIDAR POINT CLOUD with DEEP LEARNING

Keyphrases

• LiDAR 100%
• Point Cloud 100%
• Object Detection 100%
• Autonomous Vehicles 66%
• Deep Learning 66%
• Moving Vehicle 66%
• YOLOv4 66%
• Cyclists 66%
• You Only Look Once Version 3 (YOLOv3) 66%
• Pedestrian 33%
• Deep Learning Methods 33%
• 3D Point Cloud 33%
• Information Extraction 33%
• Usage Areas 33%
• Positioning Accuracy 33%
• Aerial 33%
• Lower Limit 33%
• Benchmark Dataset 33%
• Laser Scanner 33%
• Mobile LiDAR 33%
• Real-time Performance 33%
• 2D Image 33%
• Safe Driving 33%
• Convolution Operation 33%
• Object Class 33%
• Camera-based 33%
• Reliable Navigation 33%
• KITTI Dataset 33%
• YOLO Algorithm 33%
• Sense of Space 33%
• Complex Dynamic Environment 33%
• Single Shot Detector 33%
• LiDAR Technology 33%
• Mobile LiDAR Data 33%
• Stationary Vehicle 33%
• Bird's Eye View 33%
• Grid Mesh 33%
• Space Positioning 33%

Engineering

• Point Cloud 100%
• Deep Learning Method 75%
• Laser Scanner 25%
• Lower Limit 25%
• Input Shape 25%
• Learning Approach 25%

Earth and Planetary Sciences

• Real Time 100%