Matches in SemOpenAlex for { <https://semopenalex.org/work/W2099152022> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2099152022 abstract "This paper presents an approach for the robust recognition of a complex and dynamic driving environment, such as an urban area, using on-vehicle multilayer LIDAR. The multilayer LIDAR alleviates the consequences of occlusion by vertical scanning; it can detect objects with different heights simultaneously, and therefore the influence of occlusion can be curbed. The road environment recognition algorithm proposed in this paper consists of three procedures: ego-motion estimation, construction and updating of a 3-dimensional local grid map, and the detection and tracking of moving objects. The integration of these procedures enables us to estimate ego-motion accurately, along with the positions and states of moving objects, the free area where vehicles and pedestrians can move freely, and the dasiaunknownpsila area, which have never previously been observed in a road environment." @default.
- W2099152022 created "2016-06-24" @default.
- W2099152022 creator A5011005348 @default.
- W2099152022 creator A5061706467 @default.
- W2099152022 creator A5084435505 @default.
- W2099152022 date "2009-06-01" @default.
- W2099152022 modified "2023-09-23" @default.
- W2099152022 title "Ego-motion estimation and moving object tracking using multi-layer LIDAR" @default.
- W2099152022 cites W1544210762 @default.
- W2099152022 cites W1576903416 @default.
- W2099152022 cites W2047328415 @default.
- W2099152022 cites W2049981393 @default.
- W2099152022 cites W2096090110 @default.
- W2099152022 cites W2113799686 @default.
- W2099152022 cites W2119851068 @default.
- W2099152022 cites W2136760085 @default.
- W2099152022 doi "https://doi.org/10.1109/ivs.2009.5164269" @default.
- W2099152022 hasPublicationYear "2009" @default.
- W2099152022 type Work @default.
- W2099152022 sameAs 2099152022 @default.
- W2099152022 citedByCount "45" @default.
- W2099152022 countsByYear W20991520222012 @default.
- W2099152022 countsByYear W20991520222014 @default.
- W2099152022 countsByYear W20991520222015 @default.
- W2099152022 countsByYear W20991520222016 @default.
- W2099152022 countsByYear W20991520222017 @default.
- W2099152022 countsByYear W20991520222018 @default.
- W2099152022 countsByYear W20991520222019 @default.
- W2099152022 countsByYear W20991520222020 @default.
- W2099152022 countsByYear W20991520222021 @default.
- W2099152022 countsByYear W20991520222022 @default.
- W2099152022 crossrefType "proceedings-article" @default.
- W2099152022 hasAuthorship W2099152022A5011005348 @default.
- W2099152022 hasAuthorship W2099152022A5061706467 @default.
- W2099152022 hasAuthorship W2099152022A5084435505 @default.
- W2099152022 hasConcept C10161872 @default.
- W2099152022 hasConcept C104114177 @default.
- W2099152022 hasConcept C13280743 @default.
- W2099152022 hasConcept C153180895 @default.
- W2099152022 hasConcept C154945302 @default.
- W2099152022 hasConcept C15744967 @default.
- W2099152022 hasConcept C187691185 @default.
- W2099152022 hasConcept C19417346 @default.
- W2099152022 hasConcept C205649164 @default.
- W2099152022 hasConcept C2775936607 @default.
- W2099152022 hasConcept C2776151529 @default.
- W2099152022 hasConcept C2781238097 @default.
- W2099152022 hasConcept C31972630 @default.
- W2099152022 hasConcept C41008148 @default.
- W2099152022 hasConcept C51399673 @default.
- W2099152022 hasConcept C62649853 @default.
- W2099152022 hasConceptScore W2099152022C10161872 @default.
- W2099152022 hasConceptScore W2099152022C104114177 @default.
- W2099152022 hasConceptScore W2099152022C13280743 @default.
- W2099152022 hasConceptScore W2099152022C153180895 @default.
- W2099152022 hasConceptScore W2099152022C154945302 @default.
- W2099152022 hasConceptScore W2099152022C15744967 @default.
- W2099152022 hasConceptScore W2099152022C187691185 @default.
- W2099152022 hasConceptScore W2099152022C19417346 @default.
- W2099152022 hasConceptScore W2099152022C205649164 @default.
- W2099152022 hasConceptScore W2099152022C2775936607 @default.
- W2099152022 hasConceptScore W2099152022C2776151529 @default.
- W2099152022 hasConceptScore W2099152022C2781238097 @default.
- W2099152022 hasConceptScore W2099152022C31972630 @default.
- W2099152022 hasConceptScore W2099152022C41008148 @default.
- W2099152022 hasConceptScore W2099152022C51399673 @default.
- W2099152022 hasConceptScore W2099152022C62649853 @default.
- W2099152022 hasLocation W20991520221 @default.
- W2099152022 hasOpenAccess W2099152022 @default.
- W2099152022 hasPrimaryLocation W20991520221 @default.
- W2099152022 hasRelatedWork W1482242411 @default.
- W2099152022 hasRelatedWork W2108687104 @default.
- W2099152022 hasRelatedWork W2375636617 @default.
- W2099152022 hasRelatedWork W2510317309 @default.
- W2099152022 hasRelatedWork W2534746541 @default.
- W2099152022 hasRelatedWork W2610014769 @default.
- W2099152022 hasRelatedWork W2770965502 @default.
- W2099152022 hasRelatedWork W2975200075 @default.
- W2099152022 hasRelatedWork W3162404396 @default.
- W2099152022 hasRelatedWork W3177406559 @default.
- W2099152022 isParatext "false" @default.
- W2099152022 isRetracted "false" @default.
- W2099152022 magId "2099152022" @default.
- W2099152022 workType "article" @default.