Work

Unsupervised Competitive Learning Clustering and Visual Method to Obtain Accurate Trajectories From Noisy Repetitive GPS Data

Year: 2024

Type: article

Source: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/tits.2024.3520393

Authors: Flávio Tonioli Mariotto, Néstor Becerra Yoma, Madson Cortes de Almeida

Institutions: Universidade Estadual de Campinas (UNICAMP), University of Chile

Language: English

Topic: Data Management and Algorithms

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

Funder: Conselho Nacional de Desenvolvimento Científico e Tecnológico

Awards: G3716047231, G7794132706, G8176984741

OpenAlex ID: W4405934347

FWCI: 0.375

Cites: 27

Cited by: 2

Related to: 10