DFBVS: deep feature-based visual servo

• Main Authors: Adrian, Nicholas, Do, Van Thach, Pham, Quang-Cuong
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: Engineering::Mechanical engineering; Deep Learning; Visualization
• Online Access: https://hdl.handle.net/10356/171751
• Institution: Nanyang Technological University

Classical Visual Servoing (VS) relies on handcrafted visual features, which limit their generalizability. Recently, a number of approaches, some based on Deep Neural Networks, have been proposed to overcome this limitation by comparing directly the entire target and current camera images. However, b...