An efficient stereo rectification model for autonomous driving

• Main Author: Swaroop, Tharun
• Other Authors: Qian Kemao
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2025
• Subjects: Computer and Information Science; 3D vision; Stereo vision; Convolutional neural networks; Autonomous driving; Stereo rectification
• Online Access: https://hdl.handle.net/10356/183994
• Institution: Nanyang Technological University

Stereo rectification is a crucial step in autonomous driving, ensuring accurate depth estimation for safe and reliable navigation. Traditional rectification methods such as Hartley’s, Bouguet’s and Fusiello’s approaches offer geometric solutions but often struggle with computational efficiency and r...