Application of deep learning for enhancing simultaneous localization and mapping in autonomous driving

• Main Author: Ge, Jintian
• Other Authors: Lyu Chen
• Format: Thesis-Master by Research
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Deep learning; SLAM; Autonomous driving
• Online Access: https://hdl.handle.net/10356/174794
• Institution: Nanyang Technological University

Simultaneous Localization and Mapping, commonly referred to as SLAM, represents a class of algorithms that involves constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's position within it. This technique is foundational in robotics and autono...