FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3138423360> ?p ?o ?g. }

• W3138423360 endingPage "5808" @default.
• W3138423360 startingPage "5799" @default.
• W3138423360 abstract "Potholes are one of the most common forms of road damage, which can severely affect driving comfort, road safety, and vehicle condition. Pothole detection is typically performed by either structural engineers or certified inspectors. However, this task is not only hazardous for the personnel but also extremely time consuming. This article presents an efficient pothole detection algorithm based on road disparity map estimation and segmentation. We first incorporate the stereo rig roll angle into shifting distance calculation to generalize perspective transformation. The road disparities are then efficiently estimated using semiglobal matching. A disparity map transformation algorithm is then performed to better distinguish the damaged road areas. Subsequently, we utilize simple linear iterative clustering to group the transformed disparities into a collection of superpixels. The potholes are finally detected by finding the superpixels, whose intensities are lower than an adaptively determined threshold. The proposed algorithm is implemented on an NVIDIA RTX 2080 Ti GPU in CUDA. The experimental results demonstrate that our proposed road pothole detection algorithm achieves state-of-the-art accuracy and efficiency." @default.
• W3138423360 created "2021-03-29" @default.
• W3138423360 creator A5025879011 @default.
• W3138423360 creator A5038867899 @default.
• W3138423360 creator A5039979731 @default.
• W3138423360 creator A5047800071 @default.
• W3138423360 creator A5061130224 @default.
• W3138423360 date "2022-07-01" @default.
• W3138423360 modified "2023-10-10" @default.
• W3138423360 title "Rethinking Road Surface 3-D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation" @default.
• W3138423360 cites W1644863801 @default.
• W3138423360 cites W1670272738 @default.
• W3138423360 cites W1903029394 @default.
• W3138423360 cites W1981251392 @default.
• W3138423360 cites W2031319648 @default.
• W3138423360 cites W2037325199 @default.
• W3138423360 cites W2067191022 @default.
• W3138423360 cites W2069182664 @default.
• W3138423360 cites W2069607360 @default.
• W3138423360 cites W2079224300 @default.
• W3138423360 cites W2083624955 @default.
• W3138423360 cites W2099531274 @default.
• W3138423360 cites W2104974755 @default.
• W3138423360 cites W2107272822 @default.
• W3138423360 cites W2117248802 @default.
• W3138423360 cites W2118246710 @default.
• W3138423360 cites W2119531662 @default.
• W3138423360 cites W2121947440 @default.
• W3138423360 cites W2124260943 @default.
• W3138423360 cites W2128880484 @default.
• W3138423360 cites W2138014601 @default.
• W3138423360 cites W2143516773 @default.
• W3138423360 cites W2150066425 @default.
• W3138423360 cites W2151103935 @default.
• W3138423360 cites W2286655030 @default.
• W3138423360 cites W2291522392 @default.
• W3138423360 cites W2552988497 @default.
• W3138423360 cites W2565354498 @default.
• W3138423360 cites W2592426749 @default.
• W3138423360 cites W2604155477 @default.
• W3138423360 cites W2748746495 @default.
• W3138423360 cites W2769644921 @default.
• W3138423360 cites W2792796963 @default.
• W3138423360 cites W2887699950 @default.
• W3138423360 cites W2963388701 @default.
• W3138423360 cites W2963881378 @default.
• W3138423360 cites W2970332685 @default.
• W3138423360 cites W2971184620 @default.
• W3138423360 cites W2979872609 @default.
• W3138423360 cites W3080961686 @default.
• W3138423360 cites W3105136107 @default.
• W3138423360 cites W3119834764 @default.
• W3138423360 cites W3130089842 @default.
• W3138423360 cites W3134257222 @default.
• W3138423360 cites W2261161671 @default.
• W3138423360 doi "https://doi.org/10.1109/tcyb.2021.3060461" @default.
• W3138423360 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33760747" @default.
• W3138423360 hasPublicationYear "2022" @default.
• W3138423360 type Work @default.
• W3138423360 sameAs 3138423360 @default.
• W3138423360 citedByCount "25" @default.
• W3138423360 countsByYear W31384233602021 @default.
• W3138423360 countsByYear W31384233602022 @default.
• W3138423360 countsByYear W31384233602023 @default.
• W3138423360 crossrefType "journal-article" @default.
• W3138423360 hasAuthorship W3138423360A5025879011 @default.
• W3138423360 hasAuthorship W3138423360A5038867899 @default.
• W3138423360 hasAuthorship W3138423360A5039979731 @default.
• W3138423360 hasAuthorship W3138423360A5047800071 @default.
• W3138423360 hasAuthorship W3138423360A5061130224 @default.
• W3138423360 hasBestOaLocation W31384233602 @default.
• W3138423360 hasConcept C104317684 @default.
• W3138423360 hasConcept C105795698 @default.
• W3138423360 hasConcept C111919701 @default.
• W3138423360 hasConcept C12713177 @default.
• W3138423360 hasConcept C127313418 @default.
• W3138423360 hasConcept C127413603 @default.
• W3138423360 hasConcept C147176958 @default.
• W3138423360 hasConcept C154945302 @default.
• W3138423360 hasConcept C165064840 @default.
• W3138423360 hasConcept C185592680 @default.
• W3138423360 hasConcept C204241405 @default.
• W3138423360 hasConcept C2776023743 @default.
• W3138423360 hasConcept C2778119891 @default.
• W3138423360 hasConcept C2780042925 @default.
• W3138423360 hasConcept C31972630 @default.
• W3138423360 hasConcept C33923547 @default.
• W3138423360 hasConcept C41008148 @default.
• W3138423360 hasConcept C55493867 @default.
• W3138423360 hasConcept C5900021 @default.
• W3138423360 hasConcept C73555534 @default.
• W3138423360 hasConcept C89600930 @default.
• W3138423360 hasConceptScore W3138423360C104317684 @default.
• W3138423360 hasConceptScore W3138423360C105795698 @default.
• W3138423360 hasConceptScore W3138423360C111919701 @default.
• W3138423360 hasConceptScore W3138423360C12713177 @default.
• W3138423360 hasConceptScore W3138423360C127313418 @default.
• W3138423360 hasConceptScore W3138423360C127413603 @default.

• next