Matches in SemOpenAlex for { <https://semopenalex.org/work/W2991330794> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W2991330794 abstract "Point cloud is widely used in self-driving technology recently. Usually the first step of point cloud processing is segmentation of ground points and non-ground points. In this paper, a multi-threshold detector is proposed for point cloud scene captured by LiDAR mounted on an autonomous vehicle. The proposed algorithm uses variant thresholds which depend on the distance between two consecutive points. Furthermore, the algorithm also proposes additional rules for finding the start ground point of each scanning line and eliminating the backward slope. Simulation result shows the proposed algorithm works well in different testing environments, in terms of miss rate, accuracy and execution time. For one scene with more than 180,000 points, the segmentation can be done in 8 ms and with 99.5% accuracy rate by the proposed algorithm." @default.
- W2991330794 created "2019-12-05" @default.
- W2991330794 creator A5040483872 @default.
- W2991330794 creator A5045088346 @default.
- W2991330794 creator A5082577544 @default.
- W2991330794 date "2019-09-01" @default.
- W2991330794 modified "2023-09-23" @default.
- W2991330794 title "Multi-Threshold based Ground Detection for Point Cloud Scene" @default.
- W2991330794 cites W1983097330 @default.
- W2991330794 cites W2007575046 @default.
- W2991330794 cites W2044432738 @default.
- W2991330794 cites W2055102868 @default.
- W2991330794 cites W2058102639 @default.
- W2991330794 cites W2066154710 @default.
- W2991330794 cites W2066481472 @default.
- W2991330794 cites W2071753994 @default.
- W2991330794 cites W2074437835 @default.
- W2991330794 cites W2077506631 @default.
- W2991330794 cites W2081780340 @default.
- W2991330794 cites W2099857532 @default.
- W2991330794 cites W2103952420 @default.
- W2991330794 cites W2137176344 @default.
- W2991330794 cites W2156516396 @default.
- W2991330794 doi "https://doi.org/10.1109/avss.2019.8909897" @default.
- W2991330794 hasPublicationYear "2019" @default.
- W2991330794 type Work @default.
- W2991330794 sameAs 2991330794 @default.
- W2991330794 citedByCount "3" @default.
- W2991330794 countsByYear W29913307942022 @default.
- W2991330794 crossrefType "proceedings-article" @default.
- W2991330794 hasAuthorship W2991330794A5040483872 @default.
- W2991330794 hasAuthorship W2991330794A5045088346 @default.
- W2991330794 hasAuthorship W2991330794A5082577544 @default.
- W2991330794 hasConcept C111919701 @default.
- W2991330794 hasConcept C127313418 @default.
- W2991330794 hasConcept C131979681 @default.
- W2991330794 hasConcept C154945302 @default.
- W2991330794 hasConcept C2524010 @default.
- W2991330794 hasConcept C28719098 @default.
- W2991330794 hasConcept C31972630 @default.
- W2991330794 hasConcept C33923547 @default.
- W2991330794 hasConcept C41008148 @default.
- W2991330794 hasConcept C62649853 @default.
- W2991330794 hasConcept C79974875 @default.
- W2991330794 hasConceptScore W2991330794C111919701 @default.
- W2991330794 hasConceptScore W2991330794C127313418 @default.
- W2991330794 hasConceptScore W2991330794C131979681 @default.
- W2991330794 hasConceptScore W2991330794C154945302 @default.
- W2991330794 hasConceptScore W2991330794C2524010 @default.
- W2991330794 hasConceptScore W2991330794C28719098 @default.
- W2991330794 hasConceptScore W2991330794C31972630 @default.
- W2991330794 hasConceptScore W2991330794C33923547 @default.
- W2991330794 hasConceptScore W2991330794C41008148 @default.
- W2991330794 hasConceptScore W2991330794C62649853 @default.
- W2991330794 hasConceptScore W2991330794C79974875 @default.
- W2991330794 hasLocation W29913307941 @default.
- W2991330794 hasOpenAccess W2991330794 @default.
- W2991330794 hasPrimaryLocation W29913307941 @default.
- W2991330794 hasRelatedWork W125675508 @default.
- W2991330794 hasRelatedWork W2033574012 @default.
- W2991330794 hasRelatedWork W2111347602 @default.
- W2991330794 hasRelatedWork W2979718872 @default.
- W2991330794 hasRelatedWork W3090896893 @default.
- W2991330794 hasRelatedWork W3151946617 @default.
- W2991330794 hasRelatedWork W3202424074 @default.
- W2991330794 hasRelatedWork W3204162010 @default.
- W2991330794 hasRelatedWork W3206828132 @default.
- W2991330794 hasRelatedWork W4310007291 @default.
- W2991330794 isParatext "false" @default.
- W2991330794 isRetracted "false" @default.
- W2991330794 magId "2991330794" @default.
- W2991330794 workType "article" @default.