- Alternative title
-
Three-D pedestrian tracking using neighbourhood constraints
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Dimensions
-
30 cm
- Extent
-
x, 115 Seiten
- Language
-
Englisch
- Notes
-
Illustrationen, Diagramme
Auch veröffentlicht in: Reihe C der Deutschen Geodätischen Kommission bei der Bayerischen Akademie der Wissenschaften, Nr. 854, München 2020, ISBN 978-3-7696-5266-6
Gottfried Wilhelm Leibniz Universität Hannover, Dissertation, 2020
- Bibliographic citation
-
Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz-Universität Hannover ; Nr. 358
- Classification
-
Astronomie, Kartographie
- Keyword
-
:!4155750-5!s Fußgängerverkehr
:!4311226-2!s Objektverfolgung
:!7714938-5!s Autonomes Fahrzeug
:!4062987-9!s Verkehrsverhalten
:!4047390-9!s Prognose
- Event
-
Veröffentlichung
- (where)
-
Hannover
- (who)
-
[Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover]
- (when)
-
2020
- Creator
- Table of contents
- Rights
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
-
11.06.2025, 2:02 PM CEST
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
- Nguyen, Uyen Dao-Xuan
- [Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover]
Time of origin
- 2020
Other Objects (12)
Rlm-tracking: online multi-pedestrian tracking supported by relative location mapping
Pedestrian tracking-by-detection for video surveillance applications
CONFIDENCE-AWARE PEDESTRIAN TRACKING USING A STEREO CAMERA
A Dynamic Bayes Network for visual Pedestrian Tracking
Confidence-aware pedestrian tracking using a stereo camera
A COMPARISON BETWEEN UWB AND LASER-BASED PEDESTRIAN TRACKING
A REAL-TIME IMPROVED PEDESTRIAN DEAD RECKONING TRAJECTORY TRACKING ALGORITHM
Detailed Analysis of Pedestrian Activity Recognition in Pedestrian Zones Using 3D Skeleton Joints Using LSTM
A NOVEL APPROACH FOR 3D NEIGHBOURHOOD ANALYSIS
Methods for pedestrian localization and motion tracking using inertial MEMS sensors
Pedestrian multiple-object tracking based on FairMOT and circle loss
SIMULTANEOUS DETECTION AND TRACKING OF PEDESTRIAN FROM PANORAMIC LASER SCANNING DATA
Rlm-tracking: online multi-pedestrian tracking supported by relative location mapping
Pedestrian tracking-by-detection for video surveillance applications
CONFIDENCE-AWARE PEDESTRIAN TRACKING USING A STEREO CAMERA
A Dynamic Bayes Network for visual Pedestrian Tracking
Confidence-aware pedestrian tracking using a stereo camera
A COMPARISON BETWEEN UWB AND LASER-BASED PEDESTRIAN TRACKING
A REAL-TIME IMPROVED PEDESTRIAN DEAD RECKONING TRAJECTORY TRACKING ALGORITHM
Detailed Analysis of Pedestrian Activity Recognition in Pedestrian Zones Using 3D Skeleton Joints Using LSTM
A NOVEL APPROACH FOR 3D NEIGHBOURHOOD ANALYSIS
Methods for pedestrian localization and motion tracking using inertial MEMS sensors
Pedestrian multiple-object tracking based on FairMOT and circle loss
SIMULTANEOUS DETECTION AND TRACKING OF PEDESTRIAN FROM PANORAMIC LASER SCANNING DATA
Rlm-tracking: online multi-pedestrian tracking supported by relative location mapping
Pedestrian tracking-by-detection for video surveillance applications
CONFIDENCE-AWARE PEDESTRIAN TRACKING USING A STEREO CAMERA
A Dynamic Bayes Network for visual Pedestrian Tracking
Confidence-aware pedestrian tracking using a stereo camera
A COMPARISON BETWEEN UWB AND LASER-BASED PEDESTRIAN TRACKING
A REAL-TIME IMPROVED PEDESTRIAN DEAD RECKONING TRAJECTORY TRACKING ALGORITHM
Detailed Analysis of Pedestrian Activity Recognition in Pedestrian Zones Using 3D Skeleton Joints Using LSTM
A NOVEL APPROACH FOR 3D NEIGHBOURHOOD ANALYSIS
Methods for pedestrian localization and motion tracking using inertial MEMS sensors
Pedestrian multiple-object tracking based on FairMOT and circle loss