The use of advanced driver assistance systems is becoming increasingly common in road-going vehicles. One application of these driver assistance systems is in the automated detection of vulnerable road users, such as pedestrians, using automotive far-infrared imagery. Detection of pedestrians in infrared imagery can be quite difficult because of a number of factors such as the environment, pedestrian behaviour and also the physical limitations of currently available infrared sensors. This study presents a comprehensive review of the literature currently available in the area of pedestrian detection techniques in automotive infrared imagery. The challenges associated with automated detection of pedestrians in the automotive domain are first discussed. An overview of the general structure of pedestrian detection algorithms is then presented, followed by an in-depth analysis of existing literature in the area. Some proposals for future research in the area based on the methods described in this study are then offered.
Review of pedestrian detection techniques in automotive far-infrared video
IET Intelligent Transport Systems ; 9 , 8 ; 824-832
2015-10-01
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
object detection , video signal processing , advanced driver assistance system , pedestrian detection technique , automotive far-infrared video , automotive far-infrared imagery , traffic engineering computing , road-going vehicle , automotive domain , pedestrians , infrared imaging , driver information systems
Metadata by IET is licensed under CC BY 3.0
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