Real-time lane detection for autonomous driving & GRAD-CAM visualization

Key Points

• Real-time lane detection improves vehicle navigation accuracy using advanced algorithms and deep learning techniques.
• The method achieved a lane detection accuracy of 95% in various driving conditions during testing.
• Assessment using gradient-weighted class activation mapping (GRAD-CAM) allows for effective visualization of lane features.
• The findings highlight the potential for integrating visualization techniques in real-time systems for better driver assistance.