Hochschulschrift

Kontextabhängige Anomaliedetektion zur visuellen Hinderniserkennung für automatisierte PKW im End-of-Line-Bereich : = Context dependent anomaly detection for visual obstacle detection in automated cars at the end of production line

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Alternative title: Context dependent anomaly detection for visual obstacle detection in automated cars at the end of production line

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISBN: 9783985551217
3985551219

Dimensions: 21 cm, 271 g

Extent: XIII, 154 Seiten

Edition: 1. Auflage

Language: Deutsch

Notes: Illustrationen
Rheinisch-Westfälische Technische Hochschule Aachen, Dissertation, 2022

Bibliographic citation: Ergebnisse aus der Produktionstechnik ; 2022, Band 37. Produktionssystematik

Keyword: Personenkraftwagen
EoL-Prüfstand
Hindernis
Objekterkennung
Bildverarbeitung

Event: Veröffentlichung

(where): Aachen

(who): Apprimus Verlag

(when): 2022

Creator: Wenning, Marius

Contributor: Apprimus Verlag

Table of contents: https://d-nb.info/127615965X/04

Rights: Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.

Last update: 11.06.2025, 2:04 PM CEST

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Hochschulschrift

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2022

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Kontextabhängige Anomaliedetektion zur visuellen Hinderniserkennung für automatisierte PKW im End-of-Line-Bereich : = Context dependent anomaly detection for visual obstacle detection in automated cars at the end of production line

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Other Objects (12)

An obstacle avoidance safety detection algorithm for power lines combining binocular vision technology and improved object detection

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Obstacle feature point detection method for real-time processing by monocular camera and line laser

Degradation detection on power lines using power line communication devices

OneLog: towards end-to-end software log anomaly detection

End-to-end human inspired learning based system for dynamic obstacle avoidance

An end-to-end hybrid algorithm for automated medication discrepancy detection

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Real-time obstacle detection in a darkroom using a monocular camera and a line laser

Obstacle feature point detection method for real-time processing by monocular camera and line laser

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