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Chougula et al., 2020 - Google Patents

Road segmentation for autonomous vehicle: A review

Chougula et al., 2020

Document ID
11182029445690445831
Author
Chougula B
Tigadi A
Manage P
Kulkarni S
Publication year
Publication venue
2020 3rd International Conference on Intelligent Sustainable Systems (ICISS)

External Links

Snippet

Autonomous cars will reduce the quantity of street injuries because of human mistakes. Traditionally, a step by step advancement has been introduced in intelligent vehicles. These advancements boom the automation stage in motors with systems that assist the driving …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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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
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    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00805—Detecting potential obstacles
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    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • 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
    • G06K9/00684—Categorising the entire scene, e.g. birthday party or wedding scene
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