Matches in SemOpenAlex for { <https://semopenalex.org/work/W4320925660> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4320925660 endingPage "702" @default.
- W4320925660 startingPage "693" @default.
- W4320925660 abstract "For humans making, the car travel along the road lane line is easy as us humans can perceive the lanes as one of your common tasks, but when it comes to autonomous vehicles it is usually not the same case. For an autonomous, the main challenge is dealing with different varieties of roads, this paper discuses Indian roads specifically as on these roads sometimes the lane lines are not easily visible or they are not even marked. This paper discuses about the vision-based faction of algorithms that uses camera, it comprises of camera calibration using chessboard images to correct the distortion. Use of bird-eye view and conversion to different formats like HLS/RGB/HSV/YCrCb/Lab formats also using thresholding the warped images by trial-and-error thresholding, plotting Sobel-gradient with appropriate channels and in the end performing the lane pipelining to detect the lane lines in a video. For object detection, we have also use YOLO model. These techniques helped us to detect the lane lines. We used OpenCV computer vision framework that works upon the above functionalities using Python to obtain the results and to compare them." @default.
- W4320925660 created "2023-02-16" @default.
- W4320925660 creator A5017080274 @default.
- W4320925660 creator A5071708752 @default.
- W4320925660 creator A5072530335 @default.
- W4320925660 creator A5085331731 @default.
- W4320925660 date "2023-01-01" @default.
- W4320925660 modified "2023-10-16" @default.
- W4320925660 title "Road Lane Line and Object Detection Using Computer Vision" @default.
- W4320925660 cites W2053684575 @default.
- W4320925660 cites W2094431790 @default.
- W4320925660 cites W2774316656 @default.
- W4320925660 cites W2934742578 @default.
- W4320925660 cites W2989800670 @default.
- W4320925660 cites W3047687786 @default.
- W4320925660 cites W3162880581 @default.
- W4320925660 doi "https://doi.org/10.1007/978-981-19-7346-8_60" @default.
- W4320925660 hasPublicationYear "2023" @default.
- W4320925660 type Work @default.
- W4320925660 citedByCount "0" @default.
- W4320925660 crossrefType "book-chapter" @default.
- W4320925660 hasAuthorship W4320925660A5017080274 @default.
- W4320925660 hasAuthorship W4320925660A5071708752 @default.
- W4320925660 hasAuthorship W4320925660A5072530335 @default.
- W4320925660 hasAuthorship W4320925660A5085331731 @default.
- W4320925660 hasConcept C110898773 @default.
- W4320925660 hasConcept C111919701 @default.
- W4320925660 hasConcept C115961682 @default.
- W4320925660 hasConcept C121684516 @default.
- W4320925660 hasConcept C154945302 @default.
- W4320925660 hasConcept C191178318 @default.
- W4320925660 hasConcept C193536780 @default.
- W4320925660 hasConcept C198352243 @default.
- W4320925660 hasConcept C2524010 @default.
- W4320925660 hasConcept C30703548 @default.
- W4320925660 hasConcept C31972630 @default.
- W4320925660 hasConcept C33923547 @default.
- W4320925660 hasConcept C41008148 @default.
- W4320925660 hasConcept C519991488 @default.
- W4320925660 hasConcept C88740403 @default.
- W4320925660 hasConcept C9417928 @default.
- W4320925660 hasConcept C99404194 @default.
- W4320925660 hasConceptScore W4320925660C110898773 @default.
- W4320925660 hasConceptScore W4320925660C111919701 @default.
- W4320925660 hasConceptScore W4320925660C115961682 @default.
- W4320925660 hasConceptScore W4320925660C121684516 @default.
- W4320925660 hasConceptScore W4320925660C154945302 @default.
- W4320925660 hasConceptScore W4320925660C191178318 @default.
- W4320925660 hasConceptScore W4320925660C193536780 @default.
- W4320925660 hasConceptScore W4320925660C198352243 @default.
- W4320925660 hasConceptScore W4320925660C2524010 @default.
- W4320925660 hasConceptScore W4320925660C30703548 @default.
- W4320925660 hasConceptScore W4320925660C31972630 @default.
- W4320925660 hasConceptScore W4320925660C33923547 @default.
- W4320925660 hasConceptScore W4320925660C41008148 @default.
- W4320925660 hasConceptScore W4320925660C519991488 @default.
- W4320925660 hasConceptScore W4320925660C88740403 @default.
- W4320925660 hasConceptScore W4320925660C9417928 @default.
- W4320925660 hasConceptScore W4320925660C99404194 @default.
- W4320925660 hasLocation W43209256601 @default.
- W4320925660 hasOpenAccess W4320925660 @default.
- W4320925660 hasPrimaryLocation W43209256601 @default.
- W4320925660 hasRelatedWork W2130588840 @default.
- W4320925660 hasRelatedWork W2135703580 @default.
- W4320925660 hasRelatedWork W2360486670 @default.
- W4320925660 hasRelatedWork W2513700624 @default.
- W4320925660 hasRelatedWork W2770260910 @default.
- W4320925660 hasRelatedWork W2911721604 @default.
- W4320925660 hasRelatedWork W2990505274 @default.
- W4320925660 hasRelatedWork W3090564508 @default.
- W4320925660 hasRelatedWork W3163260343 @default.
- W4320925660 hasRelatedWork W4320925660 @default.
- W4320925660 isParatext "false" @default.
- W4320925660 isRetracted "false" @default.
- W4320925660 workType "book-chapter" @default.