Results 101 to 110 of about 12,075 (277)

Automatic Identification System (AIS) Dynamic Data Integrity Monitoring and Trajectory Tracking Based on the Simultaneous Localization and Mapping (SLAM) Process Model. [PDF]

Sensors (Basel), 2021
Jaskólski K, Marchel Ł, Felski A, Jaskólski M, Specht M.   +4 more
europepmc   +1 more source

The Transformational STEM Consciousness Scale: A QuantCrit Measure of a Liberatory STEM Outcome

Science Education, EarlyView.
ABSTRACT Guided by QuantCrit, we introduce and validate the Transformational STEM Consciousness (TSC) scale, which fuses students' motivation to pursue racial and social justice through STEM with a critique of STEM's historic complicity in inequity. Surveying 255 undergraduate and graduate students in 18 justice‐integrated STEM courses across 11 US ...
Juan C. Garibay, Lindsay Wheeler
wiley   +1 more source

Science for All? A Systematic Literature Review on Effective Teaching Approaches in Inclusive and Separate Settings

Science Education, EarlyView.
ABSTRACT This systematic literature review examines intervention studies focused on teaching science to a diverse range of learners. It adopts a broad definition of inclusion and makes use of the PRISMA statement. The review aims to provide an overview of evidence‐based teaching approaches in the current literature, identify the science skills targeted,
Silvia Fränkel, Nadine Großmann, Melanie Basten   +2 more
wiley   +1 more source

Predictability of obstructive sleep apnea with a somesthetic screening score: Development and preliminary validation in a prospective study

Sleep Research, EarlyView.
This prospective study developed a two‐step clinical scoring system for obstructive sleep apnea (OSA) screening based on patients’ somesthetic perception of oropharyngeal airflow. The Intermediate Score (IS ≥ 7.5) achieved 73% sensitivity and 77% specificity (AUC = 0.7754; OR = 8.96).
Cédric Garcion, Alain Piron, Alain Lacroix, Bassam Chakar, Christophe Di Piazza   +4 more
wiley   +1 more source

Map Construction and Positioning Method for LiDAR SLAM-Based Navigation of an Agricultural Field Inspection Robot

Agronomy
In agricultural field inspection robots, constructing accurate environmental maps and achieving precise localization are essential for effective Light Detection And Ranging (LiDAR) Simultaneous Localization And Mapping (SLAM) navigation.
Jiwei Qu, Zhinuo Qiu, Lanyu Li, Kangquan Guo, Dan Li   +4 more
doaj   +1 more source

A critique of current developments in simultaneous localization and mapping

International Journal of Advanced Robotic Systems, 2016
The number of research publications dealing with the simultaneous localization and mapping problem has grown significantly over the past 15 years. Many fundamental and practical aspects of simultaneous localization and mapping have been addressed, and ...
Shoudong Huang, Gamini Dissanayake
doaj   +1 more source

Sensor Fusion of Monocular Cameras and Laser Rangefinders for Line-Based Simultaneous Localization and Mapping (SLAM) Tasks in Autonomous Mobile Robots

Sensors, 2012
This paper presents a sensor fusion strategy applied for Simultaneous Localization and Mapping (SLAM) in dynamic environments. The designed approach consists of two features: (i) the first one is a fusion module which synthesizes line segments obtained ...
Xinzheng Zhang, Ahmad B. Rad, Yiu-Kwong Wong   +2 more
doaj   +1 more source

Programmable Porosity in Polymers via Microfluidic Templating and 3D Printing

Small Methods, EarlyView.
Fluid templating is a powerful way to produce porous polymers. Microfluidic technologies enable fine control over the dimension and packing of bubbles and droplets. Combined with additive manufacturing, microfluidic templating enables the creation of polymeric functionally graded porous materials in which both porosity and three‐dimensional geometry ...
Federico Serpe, Roberta Angelini, Andrea Barbetta, Vanessa Rosciardi   +3 more
wiley   +1 more source

Three main paradigms of simultaneous localization and mapping (SLAM) problem

Tenth International Conference on Machine Vision (ICMV 2017), 2018
Simultaneous Localization and Mapping (SLAM) is one of the most challenging research areas within computer and machine vision for automated scene commentary and explanation. The SLAM technique has been a developing research area in the robotics context during recent years.
Vandad Imani, Keijo Haataja, Pekka J. Toivanen   +2 more
openaire   +3 more sources

Towards Visual Localization, Mapping and Moving Objects Tracking by a Mobile Robot: a Geometric and Probabilistic Approach [PDF]

, 2007
Dans cette thèse, nous résolvons le problème de reconstruire simultanément une représentation de la géométrie du monde, de la trajectoire de l'observateur, et de la trajectoire des objets mobiles, à l'aide de la vision. Nous divisons le problème en trois
Sola, Joan
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