Title: The Automatic Blind Spot Camera: A Vision-Based Active Alarm System
Authors: Van Beeck, Kristof
Goedemé, Toon
Issue Date: 2016
Publisher: Springer
Host Document: Computer Vision – ECCV 2016 Workshops pages. Proceedings Part 1 pages:122-135
Series Title: Lecture Notes in Computer Science (Image Processing, Computer Vision, Pattern Recognition, and Graphics); 9913
Conference: European Conference on Computer Vision Workshops location:Amsterdam, The Netherlands date:8-16 October 2016
Abstract: In this paper we present a vision-based active safety system targeting the blind spot zone of trucks. Each year, these blind spot accidents are responsible for numerous fatalities and heavily injured. Existing commercial systems seem not to be able to cope with this problem completely. Therefore, we propose a vision-based safety system relying solely on the blind spot camera images. Our system is able to detect all vulnerable road users (VRUs) in the blind spot zone, and automatically generates an alarm towards the truck driver. This inherently is a challenging task. Indeed, such active safety system implicitly requires extremely high accuracy demands at very low latency. These two demands are contradictory, and thus very difficult to unite. However, our real-life experiments show that our proposed active alarm system achieves excellent accuracy results while meeting these stringent requirements.
ISBN: 978-3-319-46603-3
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Technologiecluster ESAT Elektrotechnische Engineering
Electrical Engineering (ESAT) TC, Technology Campus De Nayer Sint-Katelijne-Waver

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