Results 51 to 60 of about 16,841 (299)

Vehicle Category Classification Based on GPS Trajectory Data [PDF]

open access: yes, 2021
Understanding the category of a vehicle is an essential study for transportation safety and operation. With the explosive number of GPS devices, there are massive vehicle GPS trajectory data sets whose sizes are beyond the traditional trajectory analysis
Wang, Ruihong
core  

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

A Segment-Based Trajectory Similarity Measure in the Urban Transportation Systems

open access: yesSensors, 2017
With the rapid spread of built-in GPS handheld smart devices, the trajectory data from GPS sensors has grown explosively. Trajectory data has spatio-temporal characteristics and rich information.
Yingchi Mao   +3 more
doaj   +1 more source

PMMTss: A Parallel Multi-Way Merging-Based Trajectory Similarity Search for a Million Metro Passengers

open access: yesApplied Sciences, 2023
Trajectory similarity search (TSS) is a common operation for spatiotemporal data analysis. However, the existing TSS methods are mainly focused on GPS trajectories produced by moving objects such as vehicles.
Wanbing Huang, Wen Xiong, Xiaoxuan Wang
doaj   +1 more source

Performance Evaluation of GPS Trajectory Rasterization Methods

open access: yes, 2021
The availability of the Global Positioning System (GPS) trajectory data is increasing along with the availability of different GPS receivers and with the increasing use of various mobility services. GPS trajectory is an important data source which is used in traffic density detection, transport mode detection, mapping data inferences with the use of ...
Necip Enes Gengeç, Ergin Tari
openaire   +2 more sources

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang   +3 more
wiley   +1 more source

Estimating Urban Road GPS Environment Friendliness with Bus Trajectories: A City-Scale Approach

open access: yesSensors, 2020
GPS is taken as the most prevalent positioning system in practice. However, in urban areas, as the GPS satellite signal could be blocked by buildings, the GPS positioning is not accurate due to multi-path errors.
Liantao Ma   +6 more
doaj   +1 more source

High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation

open access: yesAdvanced Intelligent Systems, EarlyView.
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger   +3 more
wiley   +1 more source

A Data Cleaning Method for Big Trace Data Using Movement Consistency

open access: yesSensors, 2018
Given the popularization of GPS technologies, the massive amount of spatiotemporal GPS traces collected by vehicles are becoming a new kind of big data source for urban geographic information extraction.
Xue Yang   +3 more
doaj   +1 more source

Multi-Sensor Data Fusion for Future Telematics Application [PDF]

open access: yesJournal of Astronomy and Space Sciences, 2003
In this paper, we present multi-sensor data fusion for telematics application. Successful telematics can be realized through the integration of navigation and spatial information.
Seong-Baek Kim   +4 more
doaj   +1 more source

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