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Advanced Detection for Self-Driving Cars by Janani Murugesan is a document available to read on EtoBox.

This paper presents an advanced lane and vehicle detection system for self-driving cars utilizing computer vision and machine learning techniques. The model employs CNN for lane detection and YOLO for vehicle detection, processing live images into a 3D format to enhance accuracy and real-time performance. Key methodologies include perspective transformation, color masking, and gradient thresholding to effectively track lanes and prevent collisions.

Author
Janani Murugesan
Language
EN