🚶 Infrastructure-Free 3D Human Tracking with Kalman Filters
Implementation of Kalman Filter for tracking humans in 3D point cloud data.
Autonomous Systems Project
This project implements a Kalman Filter (KF) based tracking system to track human movement using 3D point cloud data in infrastructure-free environments.
Key Features
- State Estimation: Uses Kalman Filters to estimate the position and velocity of humans in a 3D space.
- Point Cloud Processing: Processes raw point cloud data to identify and track targets.
- Infrastructure-Free: Designed to work without pre-installed external markers or sensors in the environment, relying on onboard sensing.
- Visualization: Includes tools to visualize the tracking results and generate reports.