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Chang et al., 2018 - Google Patents

Real-time vehicle detection and tracking algorithm for forward vehicle collision warning

Chang et al., 2018

Document ID
18029354780204098255
Author
Chang J
Kang S
Publication year
Publication venue
JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE

External Links

Snippet

A Forward vehicle detection and lane detection algorithms are essential components of many advanced driver assistance systems. Conventional vehicle detection algorithms exhibit certain problems, including high computational complexity and low detection …
Continue reading at www.dbpia.co.kr (other versions)

Classifications

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    • G06K9/32Aligning or centering of the image pick-up or image-field
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    • G06K9/3241Recognising objects as potential recognition candidates based on visual cues, e.g. shape
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    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00791Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00798Recognition of lanes or road borders, e.g. of lane markings, or recognition of driver's driving pattern in relation to lanes perceived from the vehicle; Analysis of car trajectory relative to detected road
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    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00791Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00805Detecting potential obstacles
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/68Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
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