Complete GPS Independence
Reliable navigation in tunnels, indoors, and dense urban areas.
Overview
When GPS signals become unreliable or unavailable — indoors, underground, or in dense urban canyons — conventional autopilots lose localization and autonomy. This project combines visual-inertial odometry, LiDAR SLAM, and AI perception to enable robust navigation without external localization.
Key Features
AI-Powered Perception
Real-time detection of obstacles and moving objects with robust inference.
SLAM-Based Mapping
Builds live 3D maps for accurate localization and planning.
Multi-Sensor Fusion
LiDAR + camera + IMU + ultrasonic for robust situational awareness.
Autonomous Decision-Making
Onboard planning, path correction and adaptive mission execution.
Research Ready
Modular stack for benchmarking SLAM and AI navigation systems.
Who can benefit
Search & Rescue
Operate in disaster zones where GPS is unreliable or jammed.
Industrial Inspection
Inspect tunnels, warehouses, and power plants without external localization.
Defence Reconnaissance
Recon in hostile or GPS-jammed environments with autonomous navigation.
Infrastructure Mapping
Map structures and interiors where satellite localization is not available.
Research & Academia
A modular platform for SLAM and AI navigation research.
Watch the Drone in Action
Short demo: autonomous mapping, obstacle avoidance, and path replanning in a GPS-denied space.