Matches in SemOpenAlex for { <https://semopenalex.org/work/W3200711907> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W3200711907 endingPage "8622" @default.
- W3200711907 startingPage "8615" @default.
- W3200711907 abstract "Lane-level scene annotations provide invaluable data in autonomous vehicles for trajectory planning in complex environments such as urban areas and cities. However, obtaining such data is time-consuming and expensive since lane annotations have to be annotated manually by humans and are as such hard to scale to large areas. In this work, we propose a novel approach for lane geometry estimation from bird’s-eye-view images. We formulate the problem of lane shape and lane connections estimation as a graph estimation problem where lane anchor points are graph nodes and lane segments are graph edges. We train a graph estimation model on multimodal bird’s-eye-view data processed from the popular NuScenes dataset and its map expansion pack. We furthermore estimate the direction of the lane connection for each lane segment with a separate model which results in a directed lane graph. We illustrate the performance of our LaneGraphNet model on the challenging NuScenes dataset and provide extensive qualitative and quantitative evaluation. Our model shows promising performance for most evaluated urban scenes and can serve as a step towards automated generation of HD lane annotations for autonomous driving. The dataset will be made available at <uri xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>http://lanegraph.informatik.uni-freiburg.de</uri> ." @default.
- W3200711907 created "2021-09-27" @default.
- W3200711907 creator A5066568658 @default.
- W3200711907 creator A5071329117 @default.
- W3200711907 creator A5084499878 @default.
- W3200711907 date "2021-10-01" @default.
- W3200711907 modified "2023-09-27" @default.
- W3200711907 title "Lane Graph Estimation for Scene Understanding in Urban Driving" @default.
- W3200711907 cites W2147587207 @default.
- W3200711907 cites W2560023338 @default.
- W3200711907 cites W2738638456 @default.
- W3200711907 cites W2780861787 @default.
- W3200711907 cites W2798725844 @default.
- W3200711907 cites W2798925380 @default.
- W3200711907 cites W2956134899 @default.
- W3200711907 cites W2971320378 @default.
- W3200711907 cites W2975194617 @default.
- W3200711907 cites W2981989409 @default.
- W3200711907 cites W2984281342 @default.
- W3200711907 cites W2988499426 @default.
- W3200711907 cites W2990375305 @default.
- W3200711907 cites W3035012694 @default.
- W3200711907 cites W3035574168 @default.
- W3200711907 cites W3089522406 @default.
- W3200711907 cites W3108486966 @default.
- W3200711907 cites W3131220023 @default.
- W3200711907 cites W73112891 @default.
- W3200711907 doi "https://doi.org/10.1109/lra.2021.3111433" @default.
- W3200711907 hasPublicationYear "2021" @default.
- W3200711907 type Work @default.
- W3200711907 sameAs 3200711907 @default.
- W3200711907 citedByCount "8" @default.
- W3200711907 countsByYear W32007119072022 @default.
- W3200711907 countsByYear W32007119072023 @default.
- W3200711907 crossrefType "journal-article" @default.
- W3200711907 hasAuthorship W3200711907A5066568658 @default.
- W3200711907 hasAuthorship W3200711907A5071329117 @default.
- W3200711907 hasAuthorship W3200711907A5084499878 @default.
- W3200711907 hasBestOaLocation W32007119072 @default.
- W3200711907 hasConcept C124101348 @default.
- W3200711907 hasConcept C132525143 @default.
- W3200711907 hasConcept C154945302 @default.
- W3200711907 hasConcept C162324750 @default.
- W3200711907 hasConcept C187736073 @default.
- W3200711907 hasConcept C31972630 @default.
- W3200711907 hasConcept C41008148 @default.
- W3200711907 hasConcept C80444323 @default.
- W3200711907 hasConcept C96250715 @default.
- W3200711907 hasConceptScore W3200711907C124101348 @default.
- W3200711907 hasConceptScore W3200711907C132525143 @default.
- W3200711907 hasConceptScore W3200711907C154945302 @default.
- W3200711907 hasConceptScore W3200711907C162324750 @default.
- W3200711907 hasConceptScore W3200711907C187736073 @default.
- W3200711907 hasConceptScore W3200711907C31972630 @default.
- W3200711907 hasConceptScore W3200711907C41008148 @default.
- W3200711907 hasConceptScore W3200711907C80444323 @default.
- W3200711907 hasConceptScore W3200711907C96250715 @default.
- W3200711907 hasFunder F4320320879 @default.
- W3200711907 hasIssue "4" @default.
- W3200711907 hasLocation W32007119071 @default.
- W3200711907 hasLocation W32007119072 @default.
- W3200711907 hasOpenAccess W3200711907 @default.
- W3200711907 hasPrimaryLocation W32007119071 @default.
- W3200711907 hasRelatedWork W1891287906 @default.
- W3200711907 hasRelatedWork W1969923398 @default.
- W3200711907 hasRelatedWork W2036807459 @default.
- W3200711907 hasRelatedWork W2058170566 @default.
- W3200711907 hasRelatedWork W2166024367 @default.
- W3200711907 hasRelatedWork W2229312674 @default.
- W3200711907 hasRelatedWork W2755342338 @default.
- W3200711907 hasRelatedWork W2772917594 @default.
- W3200711907 hasRelatedWork W2775347418 @default.
- W3200711907 hasRelatedWork W3116076068 @default.
- W3200711907 hasVolume "6" @default.
- W3200711907 isParatext "false" @default.
- W3200711907 isRetracted "false" @default.
- W3200711907 magId "3200711907" @default.
- W3200711907 workType "article" @default.