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MachNet, a general Deep Learning architecture for Predictive Maintenance within the industry 4.0 paradigm.

, , and . Eng. Appl. Artif. Intell., 127 (Part B): 107365 (January 2024)

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The UMA-VI dataset: Visual-inertial odometry in low-textured and dynamic illumination environments., , , and . Int. J. Robotics Res., (2020)Sequential Monte Carlo localization in topometric appearance maps., , and . Int. J. Robotics Res., 42 (13): 1117-1132 (November 2023)MachNet, a general Deep Learning architecture for Predictive Maintenance within the industry 4.0 paradigm., , and . Eng. Appl. Artif. Intell., 127 (Part B): 107365 (January 2024)Experimental study of the suitability of CNN-based holistic descriptors for accurate visual localization., , and . APPIS, page 28:1-28:6. ACM, (2019)Unsupervised Appearance Map Abstraction for Indoor Visual Place Recognition With Mobile Robots., , and . IEEE Robotics Autom. Lett., 7 (3): 8495-8501 (2022)Improving Visual SLAM in Car-Navigated Urban Environments with Appearance Maps., , , and . IROS, page 4679-4685. IEEE, (2020)Toward the Generation of Smell Maps: Matching Electro-Chemical Sensor Information with Human Odor Perception., , , , and . APPIS, volume 310 of Frontiers in Artificial Intelligence and Applications, page 134-145. IOS Press, (2018)email protected, an ecosystem of virtual environments and tools for realistic indoor robotic simulation., , , , and . Expert Syst. Appl., (2022)Appearance-Based Sequential Robot Localization Using a Patchwise Approximation of a Descriptor Manifold., , and . Sensors, 21 (7): 2483 (2021)Urban Monitoring of Unpleasant Odors with a Handheld Electronic Nose., , , , and . ISOEN, page 1-3. IEEE, (2019)