Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017084761> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2017084761 abstract "This paper addresses the problem of autonomous navigation of UGV in an unstructured environment. Generally, state-of-the-art approaches use color based segmentation of road/non-road regions in particular. There arises an important question, how is the distance between an input pixel and a color model measured. Many algorithms employ Mahalanobis distance, since Mahalanobis distance better follows the data distribution, however it is assumed, that the data points have a normal distribution. Recently proposed Polynomial Mahalanobis Distance (PMD) represents more discriminative metric, which provides superior results in an unstructured terrain, especially, if the road is barely visible even for humans. In this paper, we discuss properties of the Polynomial Mahalanobis Distance, and propose a novel framework - A Three Stage Algorithm (TSA), which deals with both, picking of suitable data points from the training area as well as self-supervised learning algorithm for long-term road representation." @default.
- W2017084761 created "2016-06-24" @default.
- W2017084761 creator A5022635868 @default.
- W2017084761 creator A5059452904 @default.
- W2017084761 creator A5087857876 @default.
- W2017084761 date "2011-12-01" @default.
- W2017084761 modified "2023-09-26" @default.
- W2017084761 title "Adapting Polynomial Mahalanobis Distance for Self-Supervised Learning in an Outdoor Environment" @default.
- W2017084761 cites W1590580724 @default.
- W2017084761 cites W1750975476 @default.
- W2017084761 cites W2092609388 @default.
- W2017084761 cites W2097512404 @default.
- W2017084761 cites W2124802015 @default.
- W2017084761 cites W2126271496 @default.
- W2017084761 cites W2128936660 @default.
- W2017084761 cites W2136444677 @default.
- W2017084761 cites W2144707081 @default.
- W2017084761 cites W2155208493 @default.
- W2017084761 cites W2158604775 @default.
- W2017084761 cites W2168818687 @default.
- W2017084761 cites W3002694247 @default.
- W2017084761 cites W49348824 @default.
- W2017084761 cites W61928934 @default.
- W2017084761 cites W76615887 @default.
- W2017084761 cites W97351935 @default.
- W2017084761 doi "https://doi.org/10.1109/icmla.2011.23" @default.
- W2017084761 hasPublicationYear "2011" @default.
- W2017084761 type Work @default.
- W2017084761 sameAs 2017084761 @default.
- W2017084761 citedByCount "0" @default.
- W2017084761 crossrefType "proceedings-article" @default.
- W2017084761 hasAuthorship W2017084761A5022635868 @default.
- W2017084761 hasAuthorship W2017084761A5059452904 @default.
- W2017084761 hasAuthorship W2017084761A5087857876 @default.
- W2017084761 hasConcept C127413603 @default.
- W2017084761 hasConcept C134306372 @default.
- W2017084761 hasConcept C153180895 @default.
- W2017084761 hasConcept C154945302 @default.
- W2017084761 hasConcept C176217482 @default.
- W2017084761 hasConcept C1921717 @default.
- W2017084761 hasConcept C21547014 @default.
- W2017084761 hasConcept C31972630 @default.
- W2017084761 hasConcept C33923547 @default.
- W2017084761 hasConcept C41008148 @default.
- W2017084761 hasConcept C90119067 @default.
- W2017084761 hasConcept C97931131 @default.
- W2017084761 hasConceptScore W2017084761C127413603 @default.
- W2017084761 hasConceptScore W2017084761C134306372 @default.
- W2017084761 hasConceptScore W2017084761C153180895 @default.
- W2017084761 hasConceptScore W2017084761C154945302 @default.
- W2017084761 hasConceptScore W2017084761C176217482 @default.
- W2017084761 hasConceptScore W2017084761C1921717 @default.
- W2017084761 hasConceptScore W2017084761C21547014 @default.
- W2017084761 hasConceptScore W2017084761C31972630 @default.
- W2017084761 hasConceptScore W2017084761C33923547 @default.
- W2017084761 hasConceptScore W2017084761C41008148 @default.
- W2017084761 hasConceptScore W2017084761C90119067 @default.
- W2017084761 hasConceptScore W2017084761C97931131 @default.
- W2017084761 hasLocation W20170847611 @default.
- W2017084761 hasOpenAccess W2017084761 @default.
- W2017084761 hasPrimaryLocation W20170847611 @default.
- W2017084761 hasRelatedWork W1635564645 @default.
- W2017084761 hasRelatedWork W1753400131 @default.
- W2017084761 hasRelatedWork W1966489542 @default.
- W2017084761 hasRelatedWork W1970728815 @default.
- W2017084761 hasRelatedWork W1989625815 @default.
- W2017084761 hasRelatedWork W1997305839 @default.
- W2017084761 hasRelatedWork W2006518954 @default.
- W2017084761 hasRelatedWork W2045173179 @default.
- W2017084761 hasRelatedWork W2067635842 @default.
- W2017084761 hasRelatedWork W2085477622 @default.
- W2017084761 hasRelatedWork W2110483379 @default.
- W2017084761 hasRelatedWork W2120448516 @default.
- W2017084761 hasRelatedWork W2140157909 @default.
- W2017084761 hasRelatedWork W2147486662 @default.
- W2017084761 hasRelatedWork W2154469405 @default.
- W2017084761 hasRelatedWork W2164283118 @default.
- W2017084761 hasRelatedWork W2167795495 @default.
- W2017084761 hasRelatedWork W3120621898 @default.
- W2017084761 hasRelatedWork W3163050920 @default.
- W2017084761 hasRelatedWork W3028449735 @default.
- W2017084761 isParatext "false" @default.
- W2017084761 isRetracted "false" @default.
- W2017084761 magId "2017084761" @default.
- W2017084761 workType "article" @default.