Results 81 to 90 of about 20,695 (309)
SLAM-share: visual simultaneous localization and mapping for real-time multi-user augmented reality
Augmented reality (AR) devices perform visual simultaneous localization and mapping (SLAM) to map the real world and localize themselves in it, enabling them to render the virtual holograms appropriately.
Aditya Dhakal +5 more
semanticscholar +1 more source
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
Articulated Robot Motion for Simultaneous Localization and Mapping (ARM-SLAM) [PDF]
A robot with a hand-mounted depth sensor scans a scene. When the robot's joint angles are not known with certainty, how can it best reconstruct the scene? In this work, we simultaneously estimate the joint angles of the robot and reconstruct a dense volumetric model of the scene.
Matthew Klingensmith +2 more
openaire +2 more sources
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Avoiding negative depth in inverse depth bearing-only SLAM
In this paper we consider ways to alleviate negative estimated depth for the inverse depth parameterisation of bearing-only SLAM. This problem, which can arise even if the beacons are far from the platform, can cause catastrophic failure of the filter.We
Parsley, MP +3 more
core +1 more source
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang +3 more
wiley +1 more source
Mobile robot localization algorithm based on multi-sensor information fusion
In order to effectively reduce the uncertainty error of mobile robot localization with a single sensor and improve the accuracy and robustness of robot localization and mapping, a mobile robot localization algorithm based on multi-sensor information ...
WANG Ming-yi, HE Li-le, LI Yu, SUO Chao
doaj
Genetic‐Proteomic Integration Identifies Predictive Plasma Proteins for Multiple Sclerosis
Objective Multiple sclerosis (MS) develops after a prolonged preclinical phase. Identifying circulating biomarkers that capture this early biology can improve risk stratification and guide intervention. We aimed to identify plasma proteins driving MS susceptibility using large‐scale proteogenomic integration and to evaluate their prediagnostic ...
Yuan Ding +5 more
wiley +1 more source
Monocular vision based indoor simultaneous localisation and mapping for quadrotor platform [PDF]
An autonomous robot acting in an unknown dynamic environment requires a detailed understanding of its surroundings. This information is provided by mapping algorithms which are necessary to build a sensory representation of the environment and the ...
Agarwal, Saurav
core
Nasal soft‐tissue anatomy of Triceratops and other horned dinosaurs
Abstract Although ceratopsid dinosaurs possess a characteristically hypertrophied narial region, soft‐tissue anatomy associated with such a skeletal structure and their biological significance remain poorly understood. The present study provides the first comprehensive hypothesis on the soft‐tissue anatomy in the ceratopsid rostrum based on the Extant ...
Seishiro Tada +5 more
wiley +1 more source

