dc.contributor.author |
Mitsou, NC |
en |
dc.contributor.author |
Tzafestas, CS |
en |
dc.date.accessioned |
2014-03-01T02:44:58Z |
|
dc.date.available |
2014-03-01T02:44:58Z |
|
dc.date.issued |
2007 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/32059 |
|
dc.subject |
Access Method |
en |
dc.subject |
Dynamic Environment |
en |
dc.subject |
Indoor Environment |
en |
dc.subject |
Mobile Robot |
en |
dc.subject |
Moving Object |
en |
dc.subject |
Occupancy Grid |
en |
dc.subject |
Simulation Experiment |
en |
dc.subject |
Time Series |
en |
dc.subject.other |
Automation |
en |
dc.subject.other |
Canning |
en |
dc.subject.other |
Conformal mapping |
en |
dc.subject.other |
Detector circuits |
en |
dc.subject.other |
Industrial engineering |
en |
dc.subject.other |
Maps |
en |
dc.subject.other |
Robotics |
en |
dc.subject.other |
Time series analysis |
en |
dc.subject.other |
Access methods |
en |
dc.subject.other |
Control and automation |
en |
dc.subject.other |
Dynamic environments |
en |
dc.subject.other |
Indoor environments |
en |
dc.subject.other |
Moving objects |
en |
dc.subject.other |
Occupancy grids |
en |
dc.subject.other |
Simulated experiments |
en |
dc.subject.other |
Time-series |
en |
dc.subject.other |
Robots |
en |
dc.title |
Temporal Occupancy Grid for mobile robot dynamic environment mapping |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/MED.2007.4433892 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/MED.2007.4433892 |
en |
heal.identifier.secondary |
4433892 |
en |
heal.publicationDate |
2007 |
en |
heal.abstract |
Mapping dynamic environments is an open issue in the field of robotics. In this paper, we extend the well known Occupancy Grid structure to address the problem of generating valid maps for dynamic indoor environments. We propose a spatiotemporal access method to store all sensor values (instead of preserving only one value for each cell as in the common occupancy grid case). By searching for similar time series, we can detect moving objects that appear only in a limited number of possible configurations (e.g. doors or chairs). Simulated experiments demonstrate the potentialities of the proposed system. ©2007 IEEE. |
en |
heal.journalName |
2007 Mediterranean Conference on Control and Automation, MED |
en |
dc.identifier.doi |
10.1109/MED.2007.4433892 |
en |