AI & Computer VisionSystem Design Phase
Autonomous Drone Navigation System with C++
An embedded spatial networking schema allowing un-tethered flight modules to establish immediate, real-time three-dimensional environments.
Core Technology Stack
C++
ROS (Robot Operating System)
LiDAR
SLAM Algorithms
Architectural Constraints
Flight systems naturally experience massive mathematical drift when relying solely on GPS arrays in dense structural (indoor) topologies.
System Implementation
Injected a purely algorithmic local Simultaneous Localization and Mapping (SLAM) protocol parsing absolute physical geometries, rendering GPS signal dependence entirely obsolete.
Infrastructure Deep Dive
Utilizes an Extended Kalman Filter (EKF) to fuse LiDAR point clouds tightly with internal IMU accelerometers, producing robust positional odometry vectors inside a distributed ROS workspace.