Konzeption eines kamerabasierten kollisionswarnsys-tems zur prävention von arbeitsunfällen an gabelstaplern

Armin Lang; Johannes Fottner

doi:10.2195/lj_Proc_lang_de_201710_01

Konzeption eines kamerabasierten kollisionswarnsys-tems zur prävention von arbeitsunfällen an gabelstaplern

Translated title of the contribution: Conception of a camera-based collision warning system for prevention of occupational accidents caused by forklift trucks

Armin Lang
, Johannes Fottner

Chair of Chair of Materials Handling, Material Flow, Logistics

Technical University of Munich

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

This paper introduces a method to reduce occupational accidents caused by forklift trucks. The conceptual system detects collisions by calculating movement vectors of all objects being in the sight of the camera. Moreover the system is capable to distinguish between humans and warehouse accommodation. The latter enables the feasibility of a more sensitive warning when a human is endangered.

Translated title of the contribution	Conception of a camera-based collision warning system for prevention of occupational accidents caused by forklift trucks
Original language	German
Journal	Logistics Journal
Volume	2017
DOIs	https://doi.org/10.2195/lj_Proc_lang_de_201710_01
State	Published - 16 Oct 2017

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title = "Konzeption eines kamerabasierten kollisionswarnsys-tems zur pr{\"a}vention von arbeitsunf{\"a}llen an gabelstaplern",

abstract = "This paper introduces a method to reduce occupational accidents caused by forklift trucks. The conceptual system detects collisions by calculating movement vectors of all objects being in the sight of the camera. Moreover the system is capable to distinguish between humans and warehouse accommodation. The latter enables the feasibility of a more sensitive warning when a human is endangered.",

keywords = "Collision, Computer vision, Driver assistance system, Forklift truck, Machine learning",

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N2 - This paper introduces a method to reduce occupational accidents caused by forklift trucks. The conceptual system detects collisions by calculating movement vectors of all objects being in the sight of the camera. Moreover the system is capable to distinguish between humans and warehouse accommodation. The latter enables the feasibility of a more sensitive warning when a human is endangered.

AB - This paper introduces a method to reduce occupational accidents caused by forklift trucks. The conceptual system detects collisions by calculating movement vectors of all objects being in the sight of the camera. Moreover the system is capable to distinguish between humans and warehouse accommodation. The latter enables the feasibility of a more sensitive warning when a human is endangered.

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KW - Computer vision

KW - Driver assistance system

KW - Forklift truck

KW - Machine learning

UR - https://www.scopus.com/pages/publications/85034421510

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DO - 10.2195/lj_Proc_lang_de_201710_01

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JO - Logistics Journal

JF - Logistics Journal

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Konzeption eines kamerabasierten kollisionswarnsys-tems zur prävention von arbeitsunfällen an gabelstaplern

Abstract

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