Tracer 2

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Adaptable.

A tracking solution designed for dynamic environments with precision via automated mode-switching - reliability even in the event of a sensor failure or error.

Planned Features:

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• Kalman Filtering: Leverages a few statistical methods for optimal state estimation, ensuring accurate position tracking even in "noisy" conditions.

• Heat Signature Detection: Integrates thermal data to enhance tracking capabilities, enabling the identification of objects and/or figures based on their heat emissions.

• Predictive Algorithms: Employ quick prediction techniques to anticipate movements and improve response times in any potential scenarios.

• Dead Reckoning Failsafe: Maintains tracking integrity when GPS or thermal inputs are compromised, ensuring continuous operation through position estimations.

• Real-Time and Test Modes: Easily switch between real-time tracking and a comprehensive test mode for simulations and performance evaluations, facilitating robust development and debugging.

• Building with CMake for modularity and scalability.

Run and Debug

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1. Clone source code or download the .zip

   • Clone: git clone https://github.com/denv3rr/Tracer-2
   • .zip: https://github.com/denv3rr/Tracer-2/archive/refs/heads/main.zip

2. Build and run (as of 3/17/2025)

   • To build using CMake:

     • Make sure you have CMake (3.10+): https://cmake.org/cmake/download
     • Navigate to Tracer-2\build
     • Run cmake: cmake ..
     • Build: cmake --build .
     • The project should be built.

   • To run from the Debug folder:

     • cd from Tracer-2\build to: Tracer-2\build\Debug
     • Run the test Tracer-2.exe file that you built.

Links

• Seperet || Seperet
• AIM-9X || AIM-9X Sidewinder
• JASSM || Lockheed Martin JASSM: Reliable. Affordable. Proven.
• MBDA Systems || MBDA Systems
• Guided Missiles || Diehl Defense: Guided Missiles
• AGM-65 Maverick || Raytheon AGM-65 Maverick - U.S. Air Force
• Brimstone Air-To-Surface || Royal Air Force - Brimstone
• Thermal Detection || Long-Range Thermal Target Detection in Data-Limited Settings Using Restricted Receptive Fields
• Detecting Minimal Thermal Signatures || Detecting Small Size and Minimal Thermal Signature Targets in Infrared Imagery Using Biologically Inspired Vision
• Kalman Filter || An Introduction to the Kalman Filter - MIT
• Understanding Kalman Filters || An Introduction to the Kalman Filter - University of North Carolina
• Tutorial: The Kalman Filter || Tutorial: The Kalman Filter - MIT
• Predictive Algorithms in Motion Tracking || An Elementary Introduction to Kalman Filtering - University of Texas

Issues

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If you have any problems with anything, submit an issue to let me know.

Tracer-2 Issues

Contributing

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Contributions welcome.

You can fix this repo and create a pull request with any changes.

Create a new fork

Contact