Hochschulschrift
Crowdsourcing motion maps based on FootSLAM for reliable indoor pedestrian navigation in multistory environments
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783844053135
3844053131
- Dimensions
-
21 cm, 308 g
- Extent
-
xii, 191 Seiten
- Language
-
Englisch
- Notes
-
Illustrationen, Diagramme
Technische Universität München, Dissertation, 2016
- Classification
-
Elektrotechnik, Elektronik
- Keyword
-
Gebäude
Innenraum
Ortung
SLAM-Verfahren
Fußgänger
Schritt
Wahrscheinlichkeitsverteilung
Geschossbau
Digitale Karte
Beschleunigungssensor
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Shaker Verlag
- (when)
-
2017
- Creator
- Contributor
- Table of contents
- Rights
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
-
11.03.2025, 12:28 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Garcia Puyol, Maria Jesus
- Shaker Verlag
- Shaker Verlag
Time of origin
- 2017
Other Objects (12)
Crowdsourcing Motion Maps based on FootSLAM for Reliable Indoor Pedestrian Navigation in Multistory Environments
Interactive Pedestrian Indoor Localization
Pedestrian navigation in the indoor and outdoor environment
Multi-sensor based indoor vehicle and pedestrian navigation
Indoor Trajectory Reconstruction of Walking, Jogging, and Running Activities Based on a Foot-Mounted Inertial Pedestrian Dead-Reckoning System
Vision-based indoor localization via a visual slam approach
Indoor mapping for human navigation – a low-cost SLAM solution
Hierarchical graphs as organisational principle and spatial model applied to pedestrian indoor navigation
Map Management Approach for SLAM in Large-Scale Indoor and Outdoor Areas
Development and Implementation of a Peer-to-Peer Kalman Filter for Pedestrian and Indoor Navigation
Cyclist-Pedestrian Cohabitation in Seasonal Pedestrian Streets
Governance of crowdsourcing systems : managing crowdsourcing projects from a crowdsourcing system perspective
Crowdsourcing Motion Maps based on FootSLAM for Reliable Indoor Pedestrian Navigation in Multistory Environments
Interactive Pedestrian Indoor Localization
Pedestrian navigation in the indoor and outdoor environment
Multi-sensor based indoor vehicle and pedestrian navigation
Indoor Trajectory Reconstruction of Walking, Jogging, and Running Activities Based on a Foot-Mounted Inertial Pedestrian Dead-Reckoning System
Vision-based indoor localization via a visual slam approach
Indoor mapping for human navigation – a low-cost SLAM solution
Hierarchical graphs as organisational principle and spatial model applied to pedestrian indoor navigation
Map Management Approach for SLAM in Large-Scale Indoor and Outdoor Areas
Development and Implementation of a Peer-to-Peer Kalman Filter for Pedestrian and Indoor Navigation
Cyclist-Pedestrian Cohabitation in Seasonal Pedestrian Streets
Governance of crowdsourcing systems : managing crowdsourcing projects from a crowdsourcing system perspective
Crowdsourcing Motion Maps based on FootSLAM for Reliable Indoor Pedestrian Navigation in Multistory Environments
Interactive Pedestrian Indoor Localization
Pedestrian navigation in the indoor and outdoor environment
Multi-sensor based indoor vehicle and pedestrian navigation
Indoor Trajectory Reconstruction of Walking, Jogging, and Running Activities Based on a Foot-Mounted Inertial Pedestrian Dead-Reckoning System
Vision-based indoor localization via a visual slam approach
Indoor mapping for human navigation – a low-cost SLAM solution
Hierarchical graphs as organisational principle and spatial model applied to pedestrian indoor navigation
Map Management Approach for SLAM in Large-Scale Indoor and Outdoor Areas
Development and Implementation of a Peer-to-Peer Kalman Filter for Pedestrian and Indoor Navigation
Cyclist-Pedestrian Cohabitation in Seasonal Pedestrian Streets