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Towards a Human-like Vision System for Resource-Constrained Intelligent Cars

Michalke, Thomas ; Schneider, Martin ; Gepperth, Alexander ; Fritsch, Jannik ; Goerick, Christian (2007)
Towards a Human-like Vision System for Resource-Constrained Intelligent Cars.
5th International Conference on Computer Vision Systems. Bielefeld, Germany (21.03.2007-24.03.2007)
doi: 10.2390/biecoll-icvs2007-2
Conference or Workshop Item, Bibliographie

Abstract

Research on computer vision systems for driver assistance resulted in a variety of approaches mainly performing reactive tasks like, e.g., lane keeping. However, for a full understanding of generic traffic situations, integrated and more flexible approaches are needed. We present a system inspired by the human visual system. Based on combining task-dependent tunable visual saliency, an object recognizer, and a tracker it provides warnings in dangerous situations.

Item Type: Conference or Workshop Item
Erschienen: 2007
Creators: Michalke, Thomas ; Schneider, Martin ; Gepperth, Alexander ; Fritsch, Jannik ; Goerick, Christian
Type of entry: Bibliographie
Title: Towards a Human-like Vision System for Resource-Constrained Intelligent Cars
Language: English
Date: 31 December 2007
Event Title: 5th International Conference on Computer Vision Systems
Event Location: Bielefeld, Germany
Event Dates: 21.03.2007-24.03.2007
DOI: 10.2390/biecoll-icvs2007-2
Abstract:

Research on computer vision systems for driver assistance resulted in a variety of approaches mainly performing reactive tasks like, e.g., lane keeping. However, for a full understanding of generic traffic situations, integrated and more flexible approaches are needed. We present a system inspired by the human visual system. Based on combining task-dependent tunable visual saliency, an object recognizer, and a tracker it provides warnings in dangerous situations.

Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik
18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Robotics (from 01.08.2022 renamed Control Methods and Intelligent Systems)
Date Deposited: 20 Nov 2008 08:28
Last Modified: 21 Apr 2023 07:03
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