Results 41 to 50 of about 2,820,171 (259)
Semantic Visual SLAM Algorithm Based on Improved DeepLabV3+ Model and LK Optical Flow
Applied SciencesAiming at the problem that dynamic targets in indoor environments lead to low accuracy and large errors in the localization and position estimation of visual SLAM systems and the inability to build maps containing semantic information, a semantic visual ...
Yiming Li +4 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
Subjective Cognitive Concerns and Cognitive Trajectories in Parkinson's Disease: Biomarker Impact
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To examine the relationship of subjective cognitive concerns (SCC) with biomarkers of Alzheimer's disease (AD), neurodegeneration, and Parkinson's disease (PD) and domain‐specific cognitive trajectories among cognitively unimpaired persons with de novo PD. Method Cognitively unimpaired participants with SCC (n = 294) and without SCC (
Francesca V. Lopez +5 more
wiley +1 more source
Green Map Flushing Meadow Queens NY
, 2005 A map of Flushing Meadows Corona Park in Queens, NY, site of two world fairs (1939 and 1964) currently home to a number of recreation facilities and green space.
Green Map System (Firm)
core +1 more source
Probabilistic Semantic Mapping for Autonomous Driving in Urban Environments
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
doaj +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Advanced Functional Materials, EarlyView.Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Multiscale and multidirection depth map super resolution with semantic inference
IET Image Processing, 2023 Depth map super resolution has been paid much attention in 3D applications due to the limitation of depth sensors. Few textures in objects with clear contours along them is the most important characteristic of depth map. An efficient image representation
Dan Xu +3 more
doaj +1 more source
Semantic-Aware Path Planning with Hexagonal Grids and Vehicle Dynamic Constraints
Energies, 2023 The article presents a navigation system that utilizes a semantic map created on a hexagonal grid. The system plans the path by incorporating semantic and metric information while considering the vehicle’s dynamic constraints.
Barbara Siemiątkowska +3 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi +11 more
wiley +1 more source
Frontiers in Robotics and AIAssisting individuals in their daily activities through autonomous mobile robots is a significant concern, especially for users without specialized knowledge.
Akira Taniguchi +2 more
doaj +1 more source