- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783941543126
- Dimensions
-
24 cm
- Extent
-
XVI, 214 S.
- Language
-
Englisch
- Notes
-
graph. Darst.
Zugl.: Ulm, Univ., Diss., 2014
- Bibliographic citation
-
Schriftenreihe des Instituts für Mess-, Regel- und Mikrotechnik / Universität Ulm ; Bd. 11
- Classification
-
Elektrotechnik, Elektronik
- Keyword
-
Bayes-Verfahren
- Event
-
Veröffentlichung
- (where)
-
Ulm
- (who)
-
Inst. für Mess-, Regel- und Mikrotechnik
- (when)
-
2014
- 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, 1:49 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
- Reuter, Stephan
- Inst. für Mess-, Regel- und Mikrotechnik
Time of origin
- 2014
Other Objects (12)
Multi-object tracking using random finite sets
Track Classification for Random Finite Set Based Multi-Sensor Multi-Object Tracking
Methods Based on Random Finite Sets for Object Tracking in Computer Vision and Robotics
Tracking of Spline Modeled Extended Objects Using Random Finite Sets
Random finite set filters for superpositional sensors : Application to multi-object filtering
Set similarity modulates object tracking in dynamic environments
Grid-based object tracking
Elliptical Extended Object Tracking
Grid-based object tracking
A random finite set approach for dynamic occupancy grid maps
A random finite set approach for dynamic occupancy grid maps
Random sets versus random sequences
Multi-object tracking using random finite sets
Track Classification for Random Finite Set Based Multi-Sensor Multi-Object Tracking
Methods Based on Random Finite Sets for Object Tracking in Computer Vision and Robotics
Tracking of Spline Modeled Extended Objects Using Random Finite Sets
Random finite set filters for superpositional sensors : Application to multi-object filtering
Set similarity modulates object tracking in dynamic environments
Grid-based object tracking
Elliptical Extended Object Tracking
Grid-based object tracking
A random finite set approach for dynamic occupancy grid maps
A random finite set approach for dynamic occupancy grid maps
Random sets versus random sequences
Multi-object tracking using random finite sets
Track Classification for Random Finite Set Based Multi-Sensor Multi-Object Tracking
Methods Based on Random Finite Sets for Object Tracking in Computer Vision and Robotics
Tracking of Spline Modeled Extended Objects Using Random Finite Sets
Random finite set filters for superpositional sensors : Application to multi-object filtering
Set similarity modulates object tracking in dynamic environments
Grid-based object tracking
Elliptical Extended Object Tracking
Grid-based object tracking
A random finite set approach for dynamic occupancy grid maps
A random finite set approach for dynamic occupancy grid maps