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Efficiency and Effectiveness Metrics in Evolutionary Algorithms and Their Application Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Distance Sensor Fusion for Obstacle Detection at Night Based on Kinect Sensors

Authors : Alexander Filonenko, Danilo Cáceres Hernández, Andrey Vavilin, Taeho Kim, Kang-Hyun Jo

Published in: Intelligent Computing Theories and Methodologies

Publisher: Springer International Publishing

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Abstract

This paper introduces a vehicle safety system for moving backwards during night time. The system consists of two RGB-D cameras supported by two computers connected via Gigabit Ethernet. The cameras are mounted on the back side of the vehicle at different altitudes and tilt angles allowing detection of objects behind the vehicle and defects of the road surface. The safety system triggers an alarm if an object appears in dangerous proximity to the car. The dangerous proximity is decided according to the mass of the vehicle and its speed. Obstacles are tracked to predict if ones may become dangerous in the near future. Experiments have shown that the system is able to detect obstacles and holes on the road pavement when there is not enough light for common cameras.

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previous chapter A Container Bin Packing Algorithm for Multiple Objects
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Metadata
Title
Distance Sensor Fusion for Obstacle Detection at Night Based on Kinect Sensors
Authors
Alexander Filonenko
Danilo Cáceres Hernández
Andrey Vavilin
Taeho Kim
Kang-Hyun Jo
Copyright Year
2015
Book
Intelligent Computing Theories and Methodologies

Print ISBN: 978-3-319-22185-4

Electronic ISBN: 978-3-319-22186-1

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-22186-1_13

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