Singh et al., 2021 - Google Patents

Detection of vacant parking spaces through the use of convolutional neural network

Singh et al., 2021

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Document ID
3343124241890064237
Author
Singh C
Christoforou C
Publication year
Publication venue
The International FLAIRS Conference Proceedings

External Links

Snippet

This paper focuses on the application of computer vision and convolutional neural network techniques in the automotive industry to reduce the amount of time required to locate a vacant parking spot and to reduce driving time. The main motivation for a vacant parking …
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Classifications

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    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00818—Recognising traffic signs
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    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00798—Recognition 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
    • G—PHYSICS
    • G08—SIGNALLING
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    • G06K9/00664—Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
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