Results 31 to 40 of about 2,236,896 (335)
Towards Customizable Robotic Disinfection With Structure-Aware Semantic Mapping
IEEE Access, 2021 In the current COVID-19 pandemic, people expect to use robots to replace humans to complete the disinfection work in public places. Since different regions in the environment have different risks, in addition to the conventional SLAM capability, the ...
Zhenzhen Xiang, Jianbo Su
doaj +1 more source
An information retrieval approach to ontology mapping [PDF]
, 2006 In this paper, we present a heuristic mapping method and a prototype mapping system that support the process of semi-automatic ontology mapping for the purpose of improving semantic interoperability in heterogeneous systems.
Gulla, J.A., Su, X.
core +3 more sources
FM-Fusion: Instance-Aware Semantic Mapping Boosted by Vision-Language Foundation Models [PDF]
IEEE Robotics and Automation LettersSemantic mapping based on the supervised object detectors is sensitive to image distribution. In real-world environments, the object detection and segmentation performance can lead to a major drop, preventing the use of semantic mapping in a wider domain.
Chuhao Liu +4 more
semanticscholar +1 more source
A Proposal for Semantic Map Representation and Evaluation [PDF]
, 2015 Semantic mapping is the incremental process of “mapping” relevant information of the world (i.e., spatial information, temporal events, agents and actions) to a formal description supported by a reasoning engine.
Capobianco, Roberto +5 more
core +1 more source
PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things [PDF]
IEEE/RJS International Conference on Intelligent RObots and Systems, 2019 We propose PanopticFusion, a novel online volumetric semantic mapping system at the level of stuff and things. In contrast to previous semantic mapping systems, PanopticFusion is able to densely predict class labels of a background region (stuff) and ...
Gaku Narita +3 more
semanticscholar +1 more source
Camera-LIDAR Integration: Probabilistic Sensor Fusion for Semantic Mapping [PDF]
IEEE transactions on intelligent transportation systems (Print), 2020 An automated vehicle operating in an urban environment must be able to perceive and recognise objects and obstacles in a three-dimensional world for navigation and path planning.
J. S. Berrio +3 more
semanticscholar +1 more source
Semantic Embedding Space for Zero-Shot Action Recognition [PDF]
, 2015 The number of categories for action recognition is growing rapidly. It is thus becoming increasingly hard to collect sufficient training data to learn conventional models for each category.
Gong, Shaogang +2 more
core +1 more source
Fast 3D Semantic Mapping in Road Scenes
Applied Sciences, 2019 Fast 3D reconstruction with semantic information in road scenes is of great requirements for autonomous navigation. It involves issues of geometry and appearance in the field of computer vision.
Xuanpeng Li +4 more
doaj +1 more source
Exploration for Object Mapping Guided by Environmental Semantics using UAVs
Remote Sensing, 2020 This paper presents a strategy to autonomously explore unknown indoor environments, focusing on 3D mapping of the environment and performing grid level semantic labeling to identify all available objects.
Reem Ashour +4 more
doaj +1 more source
Probabilistic Analogical Mapping with Semantic Relation Networks [PDF]
Psychology Review, 2021 The human ability to flexibly reason using analogies with domain-general content depends on mechanisms for identifying relations between concepts, and for mapping concepts and their relations across analogs.
Hongjing Lu, Nicholas Ichien, K. Holyoak
semanticscholar +1 more source