adminGuide to LiDAR Annotation: Building 3D Datasets for Autonomous Systems, Robotics, and Smart Cities
Introduction
LiDAR (Light Detection and Ranging) produces 3D point clouds that capture the world in incredible detail. From autonomous vehicles to smart cities, LiDAR annotation is critical for teaching AI how to understand depth, distance, and object shape.
🔹 Uses of LiDAR Annotation
Autonomous Driving
Annotating vehicles, pedestrians, cyclists, and traffic signs in 3D point clouds.
Smart Cities & Infrastructure
Mapping buildings, roads, and utilities for urban planning.
Robotics & Drones
Training robots and UAVs to navigate using 3D environmental understanding.
Forestry & Environmental Monitoring
Identifying tree heights, forest density, and terrain modeling.
Construction & Mining
Site surveying, volume measurement, and safety monitoring.