Simulated Pothole Detection System
Krishnansh Vasaniya
🚧 Simulated Pothole Detection System Using LiDAR & Camera Sensor Fusion
A real-time, AI-powered web app that detects potholes using simulated LiDAR depth data and road image analysis. Deployed on Streamlit Cloud, it allows users to upload images, visualize pothole detection, and analyze road quality.
🔗 Live App: Click here to try it
📸 Screenshot:
💡 Features
✅ Simulated LiDAR data generator
✅ Real-time image edge detection and pothole localization
✅ Bounding box visualization using OpenCV
✅ Average pothole depth estimation
✅ Road condition scoring (based on pothole area)
✅ Image upload (live testing)
✅ Multiple image support
✅ Streamlit Cloud deployment
📦 Tech Stack
Python 3
Streamlit
OpenCV (cv2)
NumPy, Pandas
Matplotlib
PIL (Pillow)
🚀 How to Run Locally
Clone the repo:
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Posted Jun 6, 2025
AI-powered web app for pothole detection using LiDAR and camera sensor fusion.
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