Logo do repositório
 
A carregar...
Miniatura
Publicação

Real-time GPS indoor for USV tracking using lookup table

Utilize este identificador para referenciar este registo.

Orientador(es)

Resumo(s)

This study introduces an approach that utilizes Lookup Tables (LUT) to enable real-time tracking of an Unmanned Surface Vehicle (USV) in an indoor setting, using a fish-eye camera. The proposed method streamlines image processing and achieves O(1) complexity, significantly reducing application run time. The paper also outlines the process of calibrating the fish-eye camera to correct image distortion, computing the homography matrix for re-projection, and obtaining a virtual top view of the camera’s field of view. The paper provides a detailed explanation of the replacement of the undistortion and re-projection steps with the new LUT method. Experimental results demonstrate a significant enhancement in the process’s run time, making it feasible for real-time tracking, regardless of the image size.

Descrição

Palavras-chave

Lookup table GPS indoor SIFT Real-time tracking USV pose estimation

Contexto Educativo

Citação

Vieira, F., Teodoro, P., & Jorge, P. M. (2023, April 26-27). Real-time GPS indoor for USV tracking using lookup table. 2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Tomar, Portugal.

Projetos de investigação

Unidades organizacionais

Fascículo