Exploring a Mixer-Based Model for Enhanced Loop Closure Detection in Robotic Navigation

• المؤلفون الرئيسيون: Go, Kendra Kirsten L., Alampay, Raphael B
• التنسيق: text
• منشور في: Archīum Ateneo 2025
• الموضوعات: loop closure detection; mixers; visual SLAM; Computational Engineering; Computer Engineering; Electrical and Computer Engineering; Engineering
• الوصول للمادة أونلاين: https://archium.ateneo.edu/discs-faculty-pubs/435; https://doi.org/10.1145/3708778.3708795
• المؤسسة: Ateneo De Manila University

Mixers offer a strong balance between resource efficiency and accuracy which makes them promising feature extractors for loop closure detection (LCD). This paper evaluates the performance of Mixers in LCD by comparing them against handcrafted and learned feature extractors. Using a Siamese architect...