FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2783179424> ?p ?o ?g. }

• W2783179424 endingPage "2188" @default.
• W2783179424 startingPage "2176" @default.
• W2783179424 abstract "In this paper, we propose a vanishing-point constrained Dijkstra road model for road detection in a stereo-vision paradigm. First, the stereo-camera is used to generate the u- and v-disparity maps of road image, from which the horizon can be extracted. With the horizon and ground region constraints, we can robustly locate the vanishing point of road region. Second, a weighted graph is constructed using all pixels of the image, and the detected vanishing point is treated as the source node of the graph. By computing a vanishing-point constrained Dijkstra minimum-cost map, where both disparity and gradient of gray image are used to calculate cost between two neighbor pixels, the problem of detecting road borders in image is transformed into that of finding two shortest paths that originate from the vanishing point to two pixels in the last row of image. The proposed approach has been implemented and tested over 2600 grayscale images of different road scenes in the KITTI data set. The experimental results demonstrate that this training-free approach can detect horizon, vanishing point, and road regions very accurately and robustly. It can achieve promising performance." @default.
• W2783179424 created "2018-01-26" @default.
• W2783179424 creator A5003027679 @default.
• W2783179424 creator A5036133825 @default.
• W2783179424 creator A5039025133 @default.
• W2783179424 creator A5039530212 @default.
• W2783179424 creator A5062318228 @default.
• W2783179424 date "2018-05-01" @default.
• W2783179424 modified "2023-09-26" @default.
• W2783179424 title "When Dijkstra Meets Vanishing Point: A Stereo Vision Approach for Road Detection" @default.
• W2783179424 cites W1569925765 @default.
• W2783179424 cites W1594836927 @default.
• W2783179424 cites W1968256263 @default.
• W2783179424 cites W1976362452 @default.
• W2783179424 cites W1977799346 @default.
• W2783179424 cites W1987983010 @default.
• W2783179424 cites W2028174169 @default.
• W2783179424 cites W2032438872 @default.
• W2783179424 cites W2051077519 @default.
• W2783179424 cites W2053131138 @default.
• W2783179424 cites W2062120829 @default.
• W2783179424 cites W2069390654 @default.
• W2783179424 cites W2074366468 @default.
• W2783179424 cites W2077709713 @default.
• W2783179424 cites W2094263170 @default.
• W2783179424 cites W2096233477 @default.
• W2783179424 cites W2100414449 @default.
• W2783179424 cites W2103325711 @default.
• W2783179424 cites W2103866601 @default.
• W2783179424 cites W2106199912 @default.
• W2783179424 cites W2107450959 @default.
• W2783179424 cites W2113594567 @default.
• W2783179424 cites W2115340290 @default.
• W2783179424 cites W2131076267 @default.
• W2783179424 cites W2138361487 @default.
• W2783179424 cites W2141861649 @default.
• W2783179424 cites W2146575011 @default.
• W2783179424 cites W2150066425 @default.
• W2783179424 cites W2151825604 @default.
• W2783179424 cites W2152422345 @default.
• W2783179424 cites W2156040158 @default.
• W2783179424 cites W2159132531 @default.
• W2783179424 cites W2159619845 @default.
• W2783179424 cites W2167222293 @default.
• W2783179424 cites W2413473068 @default.
• W2783179424 cites W2505004417 @default.
• W2783179424 cites W2511969587 @default.
• W2783179424 cites W2558027072 @default.
• W2783179424 cites W3102168793 @default.
• W2783179424 cites W4250835057 @default.
• W2783179424 cites W1896263155 @default.
• W2783179424 doi "https://doi.org/10.1109/tip.2018.2792910" @default.
• W2783179424 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29432099" @default.
• W2783179424 hasPublicationYear "2018" @default.
• W2783179424 type Work @default.
• W2783179424 sameAs 2783179424 @default.
• W2783179424 citedByCount "34" @default.
• W2783179424 countsByYear W27831794242018 @default.
• W2783179424 countsByYear W27831794242019 @default.
• W2783179424 countsByYear W27831794242020 @default.
• W2783179424 countsByYear W27831794242021 @default.
• W2783179424 countsByYear W27831794242022 @default.
• W2783179424 countsByYear W27831794242023 @default.
• W2783179424 crossrefType "journal-article" @default.
• W2783179424 hasAuthorship W2783179424A5003027679 @default.
• W2783179424 hasAuthorship W2783179424A5036133825 @default.
• W2783179424 hasAuthorship W2783179424A5039025133 @default.
• W2783179424 hasAuthorship W2783179424A5039530212 @default.
• W2783179424 hasAuthorship W2783179424A5062318228 @default.
• W2783179424 hasBestOaLocation W27831794242 @default.
• W2783179424 hasConcept C115961682 @default.
• W2783179424 hasConcept C132525143 @default.
• W2783179424 hasConcept C154945302 @default.
• W2783179424 hasConcept C160633673 @default.
• W2783179424 hasConcept C173870130 @default.
• W2783179424 hasConcept C22590252 @default.
• W2783179424 hasConcept C2524010 @default.
• W2783179424 hasConcept C28719098 @default.
• W2783179424 hasConcept C31972630 @default.
• W2783179424 hasConcept C33923547 @default.
• W2783179424 hasConcept C41008148 @default.
• W2783179424 hasConcept C68537008 @default.
• W2783179424 hasConcept C78201319 @default.
• W2783179424 hasConcept C80444323 @default.
• W2783179424 hasConcept C99404194 @default.
• W2783179424 hasConceptScore W2783179424C115961682 @default.
• W2783179424 hasConceptScore W2783179424C132525143 @default.
• W2783179424 hasConceptScore W2783179424C154945302 @default.
• W2783179424 hasConceptScore W2783179424C160633673 @default.
• W2783179424 hasConceptScore W2783179424C173870130 @default.
• W2783179424 hasConceptScore W2783179424C22590252 @default.
• W2783179424 hasConceptScore W2783179424C2524010 @default.
• W2783179424 hasConceptScore W2783179424C28719098 @default.
• W2783179424 hasConceptScore W2783179424C31972630 @default.
• W2783179424 hasConceptScore W2783179424C33923547 @default.
• W2783179424 hasConceptScore W2783179424C41008148 @default.
• W2783179424 hasConceptScore W2783179424C68537008 @default.
• W2783179424 hasConceptScore W2783179424C78201319 @default.

• next