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3D Semantic Maps for Scene Segmentation.

, , and . ROBOT (1), volume 693 of Advances in Intelligent Systems and Computing, page 603-612. Springer, (2017)

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Integration of contextual information into the scene classification problem., , , and . Robotics Auton. Syst., (2017)A Review of Segmentation Methods for 3D Semantic Mapping., , and . ROBOT (2), volume 1093 of Advances in Intelligent Systems and Computing, page 620-631. Springer, (2019)Semantic Localization in the PCL library., , , and . CoRR, (2016)A Particle-Filter Based Self-Localization Method using Invariant Features as Visual Information., , and . CLEF (Working Notes), volume 1175 of CEUR Workshop Proceedings, CEUR-WS.org, (2009)Semi-supervised 3D object recognition through CNN labeling., , , , and . Appl. Soft Comput., (2018)Combining Image Invariant Features and Clustering Techniques for Visual Place Classification., , , and . ICPR Contests, volume 6388 of Lecture Notes in Computer Science, page 200-209. Springer, (2010)Testing a Fully Autonomous Robotic Salesman in Real Scenarios., , , , , , , and . ICARSC, page 124-130. IEEE, (2015)Binary patterns for shape description in RGB-D object registration., , , and . WACV, page 1-9. IEEE Computer Society, (2016)Object Categorization from RGB-D Local Features and Bag of Words., , , and . ROBOT (2), volume 418 of Advances in Intelligent Systems and Computing, page 635-644. Springer, (2015)Keypoint Detection in RGB-D Images Using Binary Patterns., , , and . ROBOT (2), volume 418 of Advances in Intelligent Systems and Computing, page 685-694. Springer, (2015)