Advanced Lane Detection System

Project Overview

A robust lane detection system developed for autonomous driving applications, capable of accurately detecting and tracking lane markings under various environmental conditions.

Key Features

• Real-time lane marking detection
• Support for curved lane detection
• 92% accuracy on challenging scenarios
• Adaptive threshold algorithms
• Performance optimization for real-time processing

Technical Implementation

Implemented using Python and OpenCV, the system employs advanced image processing techniques including perspective transformation, color space analysis, and gradient-based detection methods.

Challenges & Solutions

• Challenge: Varying lighting conditions
  Solution: Implemented adaptive thresholding
• Challenge: Curved lane detection
  Solution: Developed polynomial fitting algorithm

Results & Impact

Achieved 92% detection accuracy on challenging road scenarios, including curved lanes and partially obscured markings, contributing to improved autonomous driving capabilities.