PanoraMIS: An Ultra-wide Field of View Image Dataset for Vision-based Robot-Motion Estimation - Archive ouverte HAL Access content directly
Journal Articles The International Journal of Robotics Research Year : 2020

PanoraMIS: An Ultra-wide Field of View Image Dataset for Vision-based Robot-Motion Estimation

Abstract

This paper presents a new dataset of ultra-wide field of view images with accurate ground truth, called PanoraMIS. The dataset covers a large spectrum of panoramic cameras (catadioptric, twin-fisheye), robotic platforms (wheeled, aerial and industrial robots), and testing environments (indoors and outdoors), and it is well suited to rigorously validate novel image-based robot-motion estimation algorithms, including visual odometry, visual SLAM, and deep learning-based methods. PanoraMIS and the accompanying documentation is publicly available on the Internet for the entire research community.
Fichier principal
Vignette du fichier
BeMoCa_IJRR20.pdf (1.52 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02492460 , version 1 (30-03-2020)

Identifiers

Cite

Houssem-Eddine Benseddik, Fabio Morbidi, Guillaume Caron. PanoraMIS: An Ultra-wide Field of View Image Dataset for Vision-based Robot-Motion Estimation. The International Journal of Robotics Research, 2020, 39 (9), pp.1037-1051. ⟨10.1177/0278364920915248⟩. ⟨hal-02492460⟩
342 View
803 Download

Altmetric

Share

Gmail Facebook X LinkedIn More