Mahajan et al., 2022 - Google Patents
Lane Line Detection for Self Driving CarsMahajan et al., 2022
- Document ID
- 7032203149375685789
- Author
- Mahajan S
- Kriplani L
- Dhanraj V
- Jain D
- Singh P
- Publication year
- Publication venue
- 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
External Links
Snippet
The car owner support system, which promotes driver security and prevents vehicle accidents on the road, is one of the most crucial elements of modern cars. Every single person on the planet is involved in their security. Increasing safety and avoiding road …
Classifications
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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
- G06K9/00798—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
- G06K9/00818—Recognising traffic signs
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- G—PHYSICS
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
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- G06K9/00805—Detecting potential obstacles
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- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
- G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
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- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
- G06K9/4633—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by mapping characteristic values of the pattern into a parameter space, e.g. Hough transformation
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- G—PHYSICS
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
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- G—PHYSICS
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