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Pan–Tilt Backlash-Aware Stereo Calibration System (ILA-OOE)

IMU + Laser Assisted – Online Offset Estimator
Developed by Prabal Khare, VIT Chennai, 2025 Siddharth Babu, VIT Chennai, 2025


Overview

This repository contains the complete hardware and software implementation of a real-time pan–tilt backlash and drift correction system.
The system uses:

  • Stereo webcams (RAPOO C200)
  • MPU9250 9-DoF IMU
  • 620 nm laser module
  • VL53L0X range sensor
  • Jetson Orin Nano

A 6-state ILA-OOE EKF fuses stereo bearings, IMU rates, and laser spot measurements to continuously estimate orientation offsets caused by mechanical backlash — without any calibration targets.

This repo supports the HardwareX submission:
“Backlash-Aware Pan–Tilt Stereo Calibration via IMU + Laser Offset Estimation (ILA-OOE)”


Key Features

  • Real-time EKF-based compensation of pan/tilt backlash
  • Stereo visual bearing tracking
  • Sparse laser spot absolute correction
  • IMU-based motion constraints
  • Robust drift tracking over long sequences
  • Full synthetic + real data evaluation tools
  • Custom 3D-printed hardware included

Repository Structure

Pan-Tilt-Calib/
│
├── cad/                    # STEP & STL files
│   ├── 1611 servo holder.step
│   ├── servo holder.step
│   ├── Servo Motor MG996R v1.step
│
├── code/                   # EKF + calibration software
│   ├── ila_ooe_ekf.py
│   ├── imu_preintegration.py
│   ├── laser_detector.py
│   ├── stereo_calibration.py
│   ├── simulate_pan_tilt.py
│   ├── utils.py
│   └── requirements.txt
│
├── docs/                   # Figures and workflow diagrams
│   ├── Diagram 3d Model.jpg
│   ├── Flowchart.jpg
│   ├── reproj_vs_time.png
│   ├── ablation_mean_reproj.png
│   ├── offsets_vs_time.png
│   ├── f471576d-ce9c-4ea3-95fd-481ec2f4e2f0.png
│
├── synthetic/              # Simulation & test data
│
├── pan_tilt_calib/         # Real pipeline scripts
│
└── calibration_logs/

Figures

Reprojection error vs time

Reprojection vs Time


###Ablation Study – Mean Reprojection Error Ablation Mean Reproj

Bar chart variant (auto-generated): Ablation Bar Chart


3D Model – Hardware Layout

![3D Diagram](docs/Diagram 3d Model.jpg)


System Flowchart

Flowchart


Offset Tracking (Proposed)

Offset Tracking


Hardware Requirements

Component Description
Jetson Orin Nano Main compute for EKF
RAPOO C200 webcams ×2 Stereo pair
MPU9250 IMU 9-DoF sensing
620 nm 5 mW laser Laser spot feedback
VL53L0X ToF Laser range
MG996R Servos ×2 Pan–tilt motion
5V 5A power System supply

Installation

Install dependencies:

pip install -r code/requirements.txt

Run real-time EKF:

python code/ila_ooe_ekf.py --mode realtime

Run stereo calibration:

python code/stereo_calibration.py

Run synthetic drift simulation:

python code/simulate_pan_tilt.py

Evaluation Results

✔️ Reduced reprojection error

✔️ Backlash offset convergence

✔️ IMU–laser fusion outperforms IMU-only and laser-only

All Fig. results provided in /docs.


Citation

If you use this work, please cite:

Khare, P., & Babu, S. (2025). *Pan–Tilt Backlash-Aware Stereo Calibration System (ILA-OOE).*  
GitHub Repository: https://github.com/00PrabalK00/Pan-Tilt-Calib  
Developed by **Prabal Khare**, VIT Chennai, 2025  
and **Siddharth Babu**, VIT Chennai, 2025

Zenodo DOI will be added after release.


License

Released under the Apache License 2.0.


Acknowledgments

Developed at the Robotics Lab, VIT Chennai.

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