Autonomous Vision-Based Line Following Robot

This project focuses on the design and development of an autonomous line-following robot in compliance with the RoboCupJunior Rescue Line rules.

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⚙️ Platform & Tools

• Hardware: NVIDIA JetBot platform
• Software: OpenCV-based vision pipeline

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🚦 Project Goal

The robot’s task was to follow a black line on a white floor while dynamically adapting to:

• Turns
• Roundabouts where a direction must be taken
• Gaps and interruptions in the track

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🧠 Implementation

• Line detection & navigation: Classical computer vision with OpenCV to preprocess inputs, find the line’s centroid, and compute steering corrections
• Intersection handling: Detected green markers → triggered predefined actions (turns, U-turns)
• Obstacle recovery: Integrated detection & fallback strategies to maintain continuous operation

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🎯 Key Takeaway

This project emphasizes real-world adaptability under competition constraints (unpredictable layouts, environmental variations).
By relying on efficient OpenCV algorithms, we demonstrated that classical vision techniques can successfully solve autonomous navigation challenges in a competitive setting.