Robust RGB-D SLAM in dynamic environments for autonomous vehicles

• Main Authors: Ji, Tete, Yuan, Shenghai, Xie, Lihua
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2025
• Subjects: Computer and Information Science; Location awareness; Visualization
• Online Access: https://hdl.handle.net/10356/182130
• Institution: Nanyang Technological University

Vision-based SLAM has played an important role in many robotic applications. However, most existing visual SLAM methods are developed under a static world assumption and the robustness in dynamic environments remains a challenging problem. In this paper, we propose a robust RGB-D SLAM system fo...