This repository contains a simplified model-based longitudinal controller designed specifically for the Indy Autonomous Challenge AV-21 car. This controller is intended to provide precise and reliable control over the car's longitudinal motion, ensuring safe and efficient operation during autonomous racing scenarios.
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Model-Based Control: The controller is based on a simplified mathematical model of the AV-21 car's dynamics, allowing for precise control of acceleration and deceleration.
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Adaptive Behavior: The controller can adapt to different racing conditions and scenarios, making it suitable for a wide range of track layouts and environmental conditions.
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Safety Measures: Robust safety measures are integrated to ensure the AV-21 car operates within safe limits, preventing collisions and maintaining stability.
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Real-Time Feedback: The controller utilizes real-time sensor data, such as GPS, lidar, and camera inputs, to make informed decisions and adjust the car's speed accordingly.
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Open Source: This project is open-source, encouraging collaboration and contributions from the autonomous racing community to improve and enhance the controller's capabilities.
For detailed information on using and configuring the Indy Autonomous Challenge AV-21 Longitudinal Controller, refer to the project's documentation.
We welcome contributions from the community to improve and enhance this controller. If you'd like to contribute, please read our contribution guidelines for more information.
This project is licensed under the MIT License - see the LICENSE file for details.
We would like to acknowledge the Indy Autonomous Challenge community for their support and collaboration in developing this longitudinal controller for the AV-21 car. Your contributions and feedback are greatly appreciated.
Disclaimer: This controller is intended for research and development purposes and should only be used in controlled environments. Use it responsibly and ensure compliance with all safety regulations and guidelines.