ROBOTICS & AUTONOMOUS
DRONES SOLUTION

Visual-Inertial Odometry (VIO):
VINS-Fusion or OpenVINS tightly couple camera tracking with high-rate IMU data
to deliver centimeter-level positioning without GPS.

LiDAR Mapping:
LIO-SAM or Fast-LIO2 with 3D LiDARs (Velodyne, Ouster, Livox) generate real-time
3D occupancy maps and loop closures, even in dark or featureless environments.

Loop Closure & Relocalization:
Visual loop detection and global relocalization enable drift recovery and
reliable operation in large, complex spaces.

Local Planning (ROS 2 Nav2):
PX4-Avoidance and the ROS 2 Navigation Stack use depth cameras
(Intel RealSense D435i, Stereolabs ZED) to build a local 3D voxel grid
and dynamically avoid obstacles without pre-mapped environments.

Global & Real-time Planning:
A* and RRT* algorithms generate collision-free paths while real-time
replanning at 10–20 Hz enables instant adaptation to new obstacles
and mission changes.

FPGA Integration:
Using Xilinx Kria or Zynq platforms, we implement hardware-accelerated image
processing pipelines to offload compute-intensive tasks from the CPU.

NPU Optimization:
Neural networks are optimized with TensorRT on NVIDIA Jetson for high
frame-rate inference with low power consumption.

Multi-core Scheduling:
Workloads are distributed across the flight controller, companion computer,
and accelerators using ROS 2 nodelets and custom executors to minimize
latency and avoid overload.

Short-range Telemetry:
900 MHz / 2.4 GHz SiK radios provide reliable command, control,
and low-latency feedback.

BVLOS Backhaul:
LTE/5G with VPN or ZeroTier enables secure long-distance operations.

Edge–Cloud Split:
Local autonomy is combined with cloud-based route planning,
geofencing, fleet analytics, and anomaly detection.