Probabilistic Semantic Mapping for Autonomous Driving in Urban Environments [PDF]
Sensors, 2023 Statistical learning techniques and increased computational power have facilitated the development of self-driving car technology. However, a limiting factor has been the high expense of scaling and maintaining high-definition (HD) maps. These maps are a
Hengyuan Zhang +5 more
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Semantic Mapping for Mobile Robots in Indoor Scenes: A Survey
Information, 2021 Sensing and mapping its surroundings is an essential requirement for a mobile robot. Geometric maps endow robots with the capacity of basic tasks, e.g., navigation.
Xiaoning Han +3 more
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Semantic Mapping Based on Spatial Concepts for Grounding Words Related to Places in Daily Environments [PDF]
Frontiers in Robotics and AI, 2019 An autonomous robot performing tasks in a human environment needs to recognize semantic information about places. Semantic mapping is a task in which suitable semantic information is assigned to an environmental map so that a robot can communicate with ...
Yuki Katsumata +3 more
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Enhancing learning health care systems with real-world data harmonization frameworks [PDF]
ESMO Real World Data and Digital OncologyThe use of digital tools has enabled the capture of clinical data that can be leveraged to produce real-world evidence, complementing traditional trial data and addressing evidence gaps in oncology. Electronic health records offer rich, longitudinal data,
M. Canelas-Pais +3 more
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Dense RGB-D Semantic Mapping with Pixel-Voxel Neural Network [PDF]
Sensors, 2018 In this paper, a novel Pixel-Voxel network is proposed for dense 3D semantic mapping, which can perform dense 3D mapping while simultaneously recognizing and labelling the semantic category each point in the 3D map. In our approach, we fully leverage the
Cheng Zhao +4 more
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Large Language Model–Assisted Semiautomated Data Harmonization Pipeline for the Multiple Chronic Disease Disparities Research Consortium: Framework Development and Comparative Validation Study [PDF]
JMIR AIBackgroundThe increasing availability of machine-readable research data has created a growing need for efficient large-scale data harmonization (DH).
Hyelee Kim +13 more
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Foundational concepts in person-machine teaming
Frontiers in Physics, 2023 As we enter an age where the behavior and capabilities of artificial intelligence and autonomous system technologies become ever more sophisticated, cooperation, collaboration, and teaming between people and these machines is rising to the forefront of ...
Ariel M. Greenberg, Julie L. Marble
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VC-SLAM—A Handcrafted Data Corpus for the Construction of Semantic Models
Data, 2022 Ontology-based data management and knowledge graphs have emerged in recent years as efficient approaches for managing and utilizing diverse and large data sets.
Andreas Burgdorf +3 more
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Collaborative Mobile Robotics for Semantic Mapping: A Survey
Applied Sciences, 2022 Ensuring safety in human–robot collaboration is one of the main challenges in mobile robotics today. Semantic maps are a potential solution because they provide semantic knowledge in addition to the geometric representation of the environment. They allow
Abdessalem Achour +3 more
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International Journal of Contemporary Educational Research, 2023 This study was aimed to eliminate the difficulties in teaching the concepts and the students' conceptual understanding in the “Force and Energy” unit through semantic mapping. The study was conducted using the action research method.
Azize Betül Dinsever +2 more
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