An efficient stereo rectification model for autonomous driving

• المؤلف الرئيسي: Swaroop, Tharun
• مؤلفون آخرون: Qian Kemao
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2025
• الموضوعات: Computer and Information Science; 3D vision; Stereo vision; Convolutional neural networks; Autonomous driving; Stereo rectification
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/183994
• المؤسسة: 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...