RC Car Project 🚗
Developed an autonomous RC car with path-finding and obstacle-avoidance capabilities, controlled by custom algorithms and sensors, providing a robust platform for experimenting with AI and autonomous navigation.
🔍 Project Overview
- Designed an RC car equipped with sensors and a control system to navigate autonomously, detect obstacles, and follow designated paths.
- Incorporated real-time path planning algorithms to dynamically adjust the car's route based on the environment.
🎯 Control System Design
The control system was designed to allow the RC car to make decisions based on sensor data, enabling path-following and obstacle avoidance.
- Path Planning Algorithm: Utilized algorithms to find optimal paths to the target while avoiding obstacles.
- Obstacle Detection: Integrated sensors to identify obstacles and adjust the car’s route in real time.
- Feedback Loop: Implemented a feedback loop to continuously adjust speed and steering based on sensor inputs.
💻 System Features
The RC car system includes a variety of features to ensure smooth and responsive operation:
- Sensor Array: Equipped with ultrasonic and infrared sensors for obstacle detection.
- Autonomous Navigation: Designed algorithms for autonomous driving, allowing the car to follow predefined paths or explore an area.
- Speed and Steering Control: Optimized control of speed and direction to enhance stability and accuracy.
🧪 Testing and Results
The RC car was tested in various environments to evaluate its path-finding accuracy, obstacle avoidance, and responsiveness.
- Path-Finding Test: Achieved an average success rate of 90% in following designated paths under different conditions.
- Obstacle Avoidance Test: The car consistently detected obstacles and rerouted successfully in 95% of trials.
- Response Time: Demonstrated a low response time in adjusting speed and direction, ensuring smooth operation.
🎓 Conclusion
The RC Car Project successfully demonstrated the integration of autonomous navigation, path-finding, and obstacle avoidance capabilities. This project serves as a foundation for further development in autonomous vehicles and offers a scalable platform for experimenting with advanced AI algorithms in real-world conditions.