Hochschulschrift

A random finite set approach for dynamic occupancy grid maps

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Ulm, Universität Ulm, Dissertation, 2016

Bibliographic citation: Schriftenreihe des Instituts für Mess-, Regel- und Mikrotechnik ; Bd. 20

Classification: Elektrotechnik, Elektronik

Keyword: Robotik
Objektverfolgung
Autonomes Fahrzeug
Fahrerassistenzsystem

Event: Veröffentlichung

(where): Ulm

(who): Universität Ulm

(when): 2017

Creator: Nuß, Dominik

DOI: 10.18725/OPARU-4361

URN: urn:nbn:de:bsz:289-oparu-4400-4

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:38 AM CEST

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Object type

Hochschulschrift

Associated

Nuß, Dominik
Universität Ulm

Time of origin

2017

Other Objects (12)

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A random finite set approach for dynamic occupancy grid maps

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FPGA-based Hardware Acceleration of a Dynamic Occupancy Grid Algorithm

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A random finite set approach for dynamic occupancy grid maps

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Random sets versus random sequences

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Radar-based mapping of the environment: occupancy grid-map versus SAR

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A random finite set approach for dynamic occupancy grid maps

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Optimierung der Repräsentation von Occupancy-Grids für Fahrerassistenzsysteme

Quantitative MNase-seq accurately maps nucleosome occupancy levels

On nested infinite occupancy scheme in random environment

Random Lift of Set Valued Maps and Applications to Multiagent Dynamics

FPGA-based Hardware Acceleration of a Dynamic Occupancy Grid Algorithm

Random sets versus random sequences

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Radar-based mapping of the environment: occupancy grid-map versus SAR

Obstacle Fusion and Scene Interpretation for Autonomous Driving with Occupancy Grids

Aufsatzsammlung

Random and quasi-random point sets

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A random finite set approach for dynamic occupancy grid maps

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Other Objects (12)

A random finite set approach for dynamic occupancy grid maps

Localizability estimation using correlation on occupancy grid maps

Optimierung der Repräsentation von Occupancy-Grids für Fahrerassistenzsysteme

Quantitative MNase-seq accurately maps nucleosome occupancy levels

On nested infinite occupancy scheme in random environment

Random Lift of Set Valued Maps and Applications to Multiagent Dynamics

FPGA-based Hardware Acceleration of a Dynamic Occupancy Grid Algorithm

Random sets versus random sequences

Dynamic occupancy grid mapping with recurrent neural networks for autonomous driving

Radar-based mapping of the environment: occupancy grid-map versus SAR

Obstacle Fusion and Scene Interpretation for Autonomous Driving with Occupancy Grids

Random and quasi-random point sets

A random finite set approach for dynamic occupancy grid maps

Localizability estimation using correlation on occupancy grid maps

Optimierung der Repräsentation von Occupancy-Grids für Fahrerassistenzsysteme

Quantitative MNase-seq accurately maps nucleosome occupancy levels

On nested infinite occupancy scheme in random environment

Random Lift of Set Valued Maps and Applications to Multiagent Dynamics

FPGA-based Hardware Acceleration of a Dynamic Occupancy Grid Algorithm

Random sets versus random sequences

Dynamic occupancy grid mapping with recurrent neural networks for autonomous driving

Radar-based mapping of the environment: occupancy grid-map versus SAR

Obstacle Fusion and Scene Interpretation for Autonomous Driving with Occupancy Grids

Random and quasi-random point sets

A random finite set approach for dynamic occupancy grid maps

Localizability estimation using correlation on occupancy grid maps

Optimierung der Repräsentation von Occupancy-Grids für Fahrerassistenzsysteme

Quantitative MNase-seq accurately maps nucleosome occupancy levels

On nested infinite occupancy scheme in random environment

Random Lift of Set Valued Maps and Applications to Multiagent Dynamics

FPGA-based Hardware Acceleration of a Dynamic Occupancy Grid Algorithm

Random sets versus random sequences

Dynamic occupancy grid mapping with recurrent neural networks for autonomous driving

Radar-based mapping of the environment: occupancy grid-map versus SAR

Obstacle Fusion and Scene Interpretation for Autonomous Driving with Occupancy Grids

Random and quasi-random point sets

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