Results 51 to 60 of about 374,244 (266)
DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments
, 2018 Simultaneous Localization and Mapping (SLAM) is considered to be a fundamental capability for intelligent mobile robots. Over the past decades, many impressed SLAM systems have been developed and achieved good performance under certain circumstances ...
Fei, Qiao +6 more
core +1 more source
Exploring Large Digital Library Collections Using a Map-Based Visualisation [PDF]
, 2013 In this paper we describe a novel approach for exploring large document collections using a map-based visualisation. We use hierarchically structured semantic concepts that are attached to the documents to create a visualisation of the semantic space ...
A. Kuhn +24 more
core +1 more source
Adult‐Onset Subacute Sclerosing Panencephalitis Presenting With Subacute Cognitive Deficits
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT We describe the case of a 41‐year‐old man diagnosed with adult‐onset subacute sclerosing panencephalitis (SSPE). The patient presented with subacute progressive cognitive deficits and a neuropsychological profile indicating predominant frontoparietal dysfunction. MRI showed only mild parietal‐predominant cerebral atrophy.
Dennis Yeow +4 more
wiley +1 more source
Interactive Semantic Mapping: Experimental Evaluation [PDF]
, 2015 Robots that are launched in the consumer market need to provide more effective human robot interaction, and, in particular, spoken language interfaces. However, in order to support the execution of high level commands as they are specified in natural language, a semantic map is required.
GEMIGNANI, GUGLIELMO +4 more
openaire +3 more sources
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Integrated Deep and Shallow Networks for Salient Object Detection
, 2017 Deep convolutional neural network (CNN) based salient object detection methods have achieved state-of-the-art performance and outperform those unsupervised methods with a wide margin.
Dai, Yuchao +4 more
core +1 more source
Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher +10 more
wiley +1 more source
Semantic RGB-D SLAM for Rescue Robot Navigation
IEEE Access, 2020 In this paper, we propose a semantic simultaneous localization and mapping (SLAM) framework for rescue robots, and report its use in navigation tasks.
Wenbang Deng +6 more
doaj +1 more source
3D semantic map construction based on point cloud and image fusion
IET Cyber-systems and Robotics, 2023 Accurate and robust positioning and mapping are the core functions of autonomous mobile robots, and the ability to analyse and understand scenes is also an important criterion for the intelligence of autonomous mobile robots.
Huijun Li +3 more
doaj +1 more source
Automatic Understanding and Mapping of Regions in Cities Using Google Street View Images
Applied Sciences, 2022 The use of semantic representations to achieve place understanding has been widely studied using indoor information. This kind of data can then be used for navigation, localization, and place identification using mobile devices.
José Carlos Rangel +2 more
doaj +1 more source