Revisiting visual odometry for real-time performance

• Main Authors: Singh, Gaurav, Wu, Meiqing, Lam, Siew-Kei
• Other Authors: College of Computing and Data Science
• Format: Conference or Workshop Item
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Feature extraction; Optimization
• Online Access: https://hdl.handle.net/10356/178589
• Institution: Nanyang Technological University

Visual Odometry (VO) is a key component in modern driver assistance systems and robotics. Meeting the real-time requirements is mandatory for VO in such applications. Previous works have primarily focused on improving accuracy at the cost of longer runtime. In this work, we propose novel strategies...