ISRO ANAV

Overview

ISRO ANAV is an autonomous aerial vehicle designed for precision navigation, mapping, and real-time decision-making in complex environments, including extraterrestrial terrains. The system integrates cutting-edge technologies such as SLAM, Convolutional Neural Networks (CNN), and adaptive landing gear.

Features

• Autonomous Navigation: Uses sensor fusion, SLAM, and real-time path planning.
• Landing Spot Detection: AI-driven crater detection and pose estimation for safe landings.
• Localization & Mapping: LiDAR and stereo vision for detailed environmental awareness.
• Emergency Response System: Automated failsafe mechanisms for secure landings.
• High-Precision Hardware: Raspberry Pi 5, Pixhawk flight controller, and IMU for stability and processing.
• Real-Time Communication: 2.4GHz transmitter and telemetry module for control and monitoring.

System Components

Hardware

• Aerial Vehicle: Lightweight quadcopter drone (<2kg) with modular architecture.
• Propulsion: Four 2200KV brushless DC motors, 30A ESCs, and 5200mAh 3S LiPo battery.
• Navigation Sensors: Optical flow, 3D LiDAR, and IMU for real-time motion tracking.
• Computation: Raspberry Pi 5 (8GB) for onboard image processing and CNN-based decision-making.
• Landing Gear: Adaptive design to adjust to sloped surfaces and rough terrain.

Software

• SLAM (Simultaneous Localization and Mapping): For terrain mapping and real-time localization.
• CNN-based Image Processing: Hazard detection and terrain recognition.
• Failsafe Algorithms: Automated return-to-home (RTH) and emergency landing protocols.
• Sensor Fusion: Kalman filtering for data accuracy and noise reduction.

Installation

1. Clone the repository:

   git clone https://github.com/userofmeet/ISRO-ANAV.git

2. Navigate to the project directory:

   cd ISRO-ANAV

PDF Documentation

The full project documentation is available in ANAV_Documentation.pdf. To view it, open the file in any PDF viewer.

Contributing

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature-branch

3. Commit your changes:

   git commit -m "Added a new feature"

4. Push to the branch:

   git push origin feature-branch

5. Create a pull request.

License

This project is licensed under the MIT License. See LICENSE for details

Contact

For any queries, contact:

• Meet Jain
• Email: meetjain538@gmail.com
• LinkedIn: https://www.linkedin.com/in/userofmeet/
• About me: https://userofmeet.vercel.app/
• GitHub: [[Your GitHub Profile]](https://github.com/userofmeet