Matches in SemOpenAlex for { <https://semopenalex.org/work/W2074904220> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2074904220 endingPage "213" @default.
- W2074904220 startingPage "201" @default.
- W2074904220 abstract "Abstract This paper describes a computationally inexpensive approach to learning and identification of maneuverable terrain to aid autonomous navigation. We adopt a monocular vision based framework, using a single consumer grade camera as the primary sensor, and model the terrain as a Mixture of Gaussians. Self-supervised learning is used to identify navigable terrain in the perception space. Training data is obtained using pre-filtered pixels, which correspond to near-range traversable terrain. The scheme allows for on-line, and in-motion update of the terrain model. The pipeline architecture used in the proposed algorithm is made amenable to real-time implementation by restricting computations to bit-shifts and accumulate operations. Color based clustering using dominant terrain texture is then performed in perception sub-space. Model initialization and update follows at the coarse scale of an octave image pyramid, and is back projected onto the original fine scale. We present results of terrain learning, tested in heterogeneous environments, including urban road, suburban parks, and indoors. Our scheme provides orders of magnitude improvement in time complexity, when compared to existing approaches reported in literature" @default.
- W2074904220 created "2016-06-24" @default.
- W2074904220 creator A5005310619 @default.
- W2074904220 creator A5077683286 @default.
- W2074904220 date "2013-07-01" @default.
- W2074904220 modified "2023-09-23" @default.
- W2074904220 title "Computationally Inexpensive Appearance Based Terrain Learning in Unknown Environments" @default.
- W2074904220 cites W146793097 @default.
- W2074904220 cites W2002253506 @default.
- W2074904220 cites W2006548260 @default.
- W2074904220 cites W2009716193 @default.
- W2074904220 cites W2020205081 @default.
- W2074904220 cites W2024139303 @default.
- W2074904220 cites W2074651488 @default.
- W2074904220 cites W2092021345 @default.
- W2074904220 cites W2103504761 @default.
- W2074904220 cites W2116190966 @default.
- W2074904220 cites W2119718018 @default.
- W2074904220 cites W2121780146 @default.
- W2074904220 cites W2121806728 @default.
- W2074904220 cites W2150839555 @default.
- W2074904220 cites W2154393852 @default.
- W2074904220 cites W2156729848 @default.
- W2074904220 cites W2799061466 @default.
- W2074904220 cites W97351935 @default.
- W2074904220 doi "https://doi.org/10.2478/jaiscr-2014-0014" @default.
- W2074904220 hasPublicationYear "2013" @default.
- W2074904220 type Work @default.
- W2074904220 sameAs 2074904220 @default.
- W2074904220 citedByCount "0" @default.
- W2074904220 crossrefType "journal-article" @default.
- W2074904220 hasAuthorship W2074904220A5005310619 @default.
- W2074904220 hasAuthorship W2074904220A5077683286 @default.
- W2074904220 hasBestOaLocation W20749042201 @default.
- W2074904220 hasConcept C114466953 @default.
- W2074904220 hasConcept C118350294 @default.
- W2074904220 hasConcept C154945302 @default.
- W2074904220 hasConcept C160633673 @default.
- W2074904220 hasConcept C161840515 @default.
- W2074904220 hasConcept C199360897 @default.
- W2074904220 hasConcept C205649164 @default.
- W2074904220 hasConcept C205711294 @default.
- W2074904220 hasConcept C2778755073 @default.
- W2074904220 hasConcept C31972630 @default.
- W2074904220 hasConcept C41008148 @default.
- W2074904220 hasConcept C43521106 @default.
- W2074904220 hasConcept C58640448 @default.
- W2074904220 hasConceptScore W2074904220C114466953 @default.
- W2074904220 hasConceptScore W2074904220C118350294 @default.
- W2074904220 hasConceptScore W2074904220C154945302 @default.
- W2074904220 hasConceptScore W2074904220C160633673 @default.
- W2074904220 hasConceptScore W2074904220C161840515 @default.
- W2074904220 hasConceptScore W2074904220C199360897 @default.
- W2074904220 hasConceptScore W2074904220C205649164 @default.
- W2074904220 hasConceptScore W2074904220C205711294 @default.
- W2074904220 hasConceptScore W2074904220C2778755073 @default.
- W2074904220 hasConceptScore W2074904220C31972630 @default.
- W2074904220 hasConceptScore W2074904220C41008148 @default.
- W2074904220 hasConceptScore W2074904220C43521106 @default.
- W2074904220 hasConceptScore W2074904220C58640448 @default.
- W2074904220 hasIssue "3" @default.
- W2074904220 hasLocation W20749042201 @default.
- W2074904220 hasOpenAccess W2074904220 @default.
- W2074904220 hasPrimaryLocation W20749042201 @default.
- W2074904220 hasRelatedWork W121273120 @default.
- W2074904220 hasRelatedWork W1978061937 @default.
- W2074904220 hasRelatedWork W2090093270 @default.
- W2074904220 hasRelatedWork W2094872030 @default.
- W2074904220 hasRelatedWork W2099272513 @default.
- W2074904220 hasRelatedWork W2146757636 @default.
- W2074904220 hasRelatedWork W2170917786 @default.
- W2074904220 hasRelatedWork W2337415362 @default.
- W2074904220 hasRelatedWork W2991205432 @default.
- W2074904220 hasRelatedWork W4312857205 @default.
- W2074904220 hasVolume "3" @default.
- W2074904220 isParatext "false" @default.
- W2074904220 isRetracted "false" @default.
- W2074904220 magId "2074904220" @default.
- W2074904220 workType "article" @default.