Visual odometer for pedestrian navigation

Jirawimut, R.; Prakoonwit, Simant; Cecelja, Franjo; Balachandran, W.

doi:10.1109/tim.2003.815996

Cited by 44 publications

(11 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To simulate possible noises and errors in R , some random noises scaled $0 \sim 100$ m are added on the $R_{24}$ (of SV 24), which is the typical NLOS error in outdoor environments. We also artificially add the $S^{-1}$ with random noises scaled $0 \sim 10$ cm, which agree with the results in 6, 10, 24.…”

Section: Methodssupporting

confidence: 72%

Cover Picture: ChemBioChem 8/2002

Hammann

Lilley

2002

ChemBioChem

View full text Add to dashboard Cite

Section: Methodssupporting

confidence: 72%

Cover Picture: ChemBioChem 8/2002

Hammann

Lilley

2002

ChemBioChem

View full text Add to dashboard Cite

“…The way human vision uses different perspectives of the same scene to create a three-dimensional perception of the world inspired the use of multiple cameras to model/recognize the world in three dimensions. When a stereo camera is used, the distance to objects may be estimated using triangulation [58]. In the case of stereovision, the distance between the two cameras, called the baseline, affects the accuracy of the motion obtained from the images.…”

Section: D Sensingmentioning

confidence: 99%

A review of assistive spatial orientation and navigation technologies for the visually impaired

Fernandes

Costa

Filipe

et al. 2017

Univ Access Inf Soc

View full text Add to dashboard Cite

Purpose-The overall objective of this work is to review the assistive technologies that have been proposed by researchers in recent years to address the limitations in user mobility posed by visual impairment. Method-This work presents an "umbrella review". Results-Visually impaired people often want more than just information about their location and often need to relate their current location to the features existing in the surrounding environment. Extensive research has been dedicated into building assistive systems. Assistive systems for human navigation, in general, aim to allow their users to safely and efficiently navigate in unfamiliar environments by dynamically planning the path based on the user's location, respecting the constraints posed by their special needs. Conclusions-Modern mobile assistive technologies are becoming more discrete and include a wide range of mobile computerized devices, including ubiquitous technologies like mobile phones. Technology can be used to determine the user's location, his relation to the surroundings (context), generate navigation instructions and deliver all this information to the blind user.

show abstract

“…This relation is equivalent up to a scale factor, which means solving the distance between the camera center and the 3D object scene. Usually, this scale factor is computed by using two cameras (stereo-camera), provided that their baseline is known [18]. However, the distance between the two cameras affects the accuracy of the motion estimation obtained from images.…”

Section: Monocular Camera As a Visual Sensormentioning

confidence: 99%

On the Use of an Ultra-Tight Integration for Robust Navigation in Jammed Scenarios

Cristodaro¹,

Falco²,

Ruotsalainen³

et al. 2019

Proceedings of the 32nd International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 201

View full text Add to dashboard Cite

Calogero Cristodaro received his doctoral degree in Electrical, Electronic and Communications Engineering at Politecnico di Torino, as a member of the Navigation Signal Analysis and Simulation (NavSAS) group. His research is focused on the advanced integration of GNSS and external sensors for autonomous mobility applications. He developed his M.S. thesis at European Space Research and Technology Centre (ESTEC) addressing maritime multipath and ionospheric scintillation effects on GNSS signals. Currently, he is a navigation system engineer at Thales Alenia Space, Italy. Gianluca Falco received the M.S. degree in communications engineering from Politecnico di Torino, Italy, in 2007 and the Ph.D. degree in electronic and communication in 2011. He is currently a Communication Engineer with the Navigation Technologies Research Area, LINKS Foundation, Turin, Italy. His research interest focuses on multi-sensors fusion, particularly between GPS and inertial navigation systems, and on advanced processing techniques for dual frequency and multi-constellation GNSS receivers.

show abstract

Visual odometer for pedestrian navigation

Cited by 44 publications

References 19 publications

Cover Picture: ChemBioChem 8/2002

Cover Picture: ChemBioChem 8/2002

A review of assistive spatial orientation and navigation technologies for the visually impaired

On the Use of an Ultra-Tight Integration for Robust Navigation in Jammed Scenarios

Contact Info

Product

Resources

About