Night Time and Low Visibility Driving Assistance Based on the Application of Colour and Geometrical Features Extraction

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• 关键词：Color extraction ; Geometrical features ; Smart devices ; Augmented reality ; Assisted driving
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9704
• 期：1
• 页码：118-127
• 全文大小：1,150 KB
• 参考文献：1.World Helath Organization (WHO). http://​www.​who.​int/​violence_​injury_​prevention/​road_​safety_​status/​2015/​en/​
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• 作者单位：Henry Cruz (16)
  Juan Meneses (16)
  Martina Eckert (16)
  José F. Martínez (16)
  
  16. Research Center on Software Technologies and Multimedia Systems for Sustainability, Technical University of Madrid, 28031, Madrid, Spain
  
• 丛书名：Smart Cities
• ISBN：978-3-319-39595-1
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9704

文摘

The present work shows an application to detect cars in night environments as a means to assist the car driving through HSV (Hue, Saturation, Value) colour extraction and geometric modelling. The developed algorithm has been implemented in smart devices through the platform Android. The detection and tracking of vehicles are implemented in low visibility environments such as night time, raining or snowing conditions; the different tests carried out confirm high performance rates of detection (p = 95.2 %). The information provided by the different sensors of the smart devices have been used to generate virtual information in a real driving environment (Augmented Reality) in order to complement the functionalities of the purposed solution. This information consists of visual, vibratory and auditory warnings that detect possible collisions and dangerous driving situations.