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Histogram Based Visual Place Recognition for Improving SLAM Performance.

, and . ICARSC, page 174-180. IEEE, (2016)

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A Comparison of Feature Detectors and Descriptors in RGB-D SLAM Methods., and . ICIAR, volume 9164 of Lecture Notes in Computer Science, page 297-305. Springer, (2015)Histogram Based Visual Place Recognition for Improving SLAM Performance., and . ICARSC, page 174-180. IEEE, (2016)Recognizing human actions in images using segment and contour features., , and . SIU, page 1-4. IEEE, (2013)k-SLAM: A fast RGB-D SLAM approach for large indoor environments., and . Comput. Vis. Image Underst., (2019)RGB-Dalgılayıcılar kullanılarak eş zamanlı konum belirleme ve haritalama (Simultaneous localization and mapping using RGB-D sensors). Hacettepe University, Turkey, (2018)Integrating global and local image features for enhanced loop closure detection in RGB-D SLAM systems., and . Vis. Comput., 36 (6): 1271-1290 (2020)RGB-D SLAM Using Attention Guided Frame Association., , , , , , and . CoRR, (2022)Fast and Effective Loop Closure Detection to Improve SLAM Performance., and . Journal of Intelligent and Robotic Systems, 93 (3-4): 495-517 (2019)RGB-D SLAM with Deep Depth Completion., , and . ICAISC (2), volume 13589 of Lecture Notes in Computer Science, page 59-67. Springer, (2022)A Plant Recognition Approach Using Shape and Color Features in Leaf Images., , and . ICIAP (2), volume 8157 of Lecture Notes in Computer Science, page 161-170. Springer, (2013)