ADVIO: An authentic dataset for visual-inertial odometry

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

Organisaatiot

  • Tampere University of Technology

Kuvaus

The lack of realistic and open benchmarking datasets for pedestrian visual-inertial odometry has made it hard to pinpoint differences in published methods. Existing datasets either lack a full six degree-of-freedom ground-truth or are limited to small spaces with optical tracking systems. We take advantage of advances in pure inertial navigation, and develop a set of versatile and challenging real-world computer vision benchmark sets for visual-inertial odometry. For this purpose, we have built a test rig equipped with an iPhone, a Google Pixel Android phone, and a Google Tango device. We provide a wide range of raw sensor data that is accessible on almost any modern-day smartphone together with a high-quality ground-truth track. We also compare resulting visual-inertial tracks from Google Tango, ARCore, and Apple ARKit with two recent methods published in academic forums. The data sets cover both indoor and outdoor cases, with stairs, escalators, elevators, office environments, a shopping mall, and metro station.

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoComputer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings
TilaJulkaistu - 1 tammikuuta 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaEUROPEAN CONFERENCE ON COMPUTER VISION - Munich, Saksa
Kesto: 8 syyskuuta 201814 syyskuuta 2018
Konferenssinumero: 15

Julkaisusarja

NimiLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
KustantajaSpringer
Vuosikerta11214 LNCS
ISSN (painettu)0302-9743
ISSN (elektroninen)1611-3349

Conference

ConferenceEUROPEAN CONFERENCE ON COMPUTER VISION
LyhennettäECCV
MaaSaksa
KaupunkiMunich
Ajanjakso08/09/201814/09/2018

ID: 29118475