Matches in SemOpenAlex for { <https://semopenalex.org/work/W2277050905> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W2277050905 abstract "This thesis is concerned with pattern classification problems in vision-guided robot navigation and in model-based object recognition. In each of these domains, a variety of pattern classification problems arises, and because the domains are so different, different methods are needed to solve these problems.Pattern classification is the basis for most methods of model-based object recognition. Typically, point-like features extracted from images are used; we show that classical point-pattern matching methods can be extended to allow both point-like and line-like features. In this connection, we employ a method of matching based on a quadratic algorithm called relaxation, using a simple, linear evidence combination scheme. It has been suggested that a more sophisticated scheme, using the evidence combination calculus of Dempster and Shafer, could be employed which would allow integration of belief and uncertainty from disparate sources. We illustrate this possibility by demonstrating how the Dempster-Shafer calculus can be used to combine evidence from point feature and line feature comparisons.Patterns of features can also be used for navigation. A navigating agent can classify its environment on the basis of statistical properties of feature populations. We address three related examples of this type of classification. We first show that a robotic agent can improve the efficiency with which it performs navigational tasks in city street networks by classifying the randomness of the network--that is, the variability of the distances between street intersections. We then examine the efficiency with which a robotic agent can classify the terrain across which it is navigating as either rugged or smooth, depending on the degree to which the terrain elevation varies from point to point. Finally, we show how a novel velocity histogramming technique can be used to classify the environment's height distribution when the agent is an aerial observer looking down at the ground." @default.
- W2277050905 created "2016-06-24" @default.
- W2277050905 creator A5007936316 @default.
- W2277050905 creator A5053190007 @default.
- W2277050905 date "1996-01-01" @default.
- W2277050905 modified "2023-09-23" @default.
- W2277050905 title "Pattern classification methods in navigation and object recognition" @default.
- W2277050905 hasPublicationYear "1996" @default.
- W2277050905 type Work @default.
- W2277050905 sameAs 2277050905 @default.
- W2277050905 citedByCount "0" @default.
- W2277050905 crossrefType "journal-article" @default.
- W2277050905 hasAuthorship W2277050905A5007936316 @default.
- W2277050905 hasAuthorship W2277050905A5053190007 @default.
- W2277050905 hasConcept C105795698 @default.
- W2277050905 hasConcept C119857082 @default.
- W2277050905 hasConcept C12426560 @default.
- W2277050905 hasConcept C125112378 @default.
- W2277050905 hasConcept C138885662 @default.
- W2277050905 hasConcept C153180895 @default.
- W2277050905 hasConcept C154945302 @default.
- W2277050905 hasConcept C165064840 @default.
- W2277050905 hasConcept C2524010 @default.
- W2277050905 hasConcept C2776401178 @default.
- W2277050905 hasConcept C2781238097 @default.
- W2277050905 hasConcept C28719098 @default.
- W2277050905 hasConcept C33923547 @default.
- W2277050905 hasConcept C41008148 @default.
- W2277050905 hasConcept C41895202 @default.
- W2277050905 hasConcept C64876066 @default.
- W2277050905 hasConceptScore W2277050905C105795698 @default.
- W2277050905 hasConceptScore W2277050905C119857082 @default.
- W2277050905 hasConceptScore W2277050905C12426560 @default.
- W2277050905 hasConceptScore W2277050905C125112378 @default.
- W2277050905 hasConceptScore W2277050905C138885662 @default.
- W2277050905 hasConceptScore W2277050905C153180895 @default.
- W2277050905 hasConceptScore W2277050905C154945302 @default.
- W2277050905 hasConceptScore W2277050905C165064840 @default.
- W2277050905 hasConceptScore W2277050905C2524010 @default.
- W2277050905 hasConceptScore W2277050905C2776401178 @default.
- W2277050905 hasConceptScore W2277050905C2781238097 @default.
- W2277050905 hasConceptScore W2277050905C28719098 @default.
- W2277050905 hasConceptScore W2277050905C33923547 @default.
- W2277050905 hasConceptScore W2277050905C41008148 @default.
- W2277050905 hasConceptScore W2277050905C41895202 @default.
- W2277050905 hasConceptScore W2277050905C64876066 @default.
- W2277050905 hasLocation W22770509051 @default.
- W2277050905 hasOpenAccess W2277050905 @default.
- W2277050905 hasPrimaryLocation W22770509051 @default.
- W2277050905 hasRelatedWork W1020007573 @default.
- W2277050905 hasRelatedWork W1167987884 @default.
- W2277050905 hasRelatedWork W1560959218 @default.
- W2277050905 hasRelatedWork W1856564138 @default.
- W2277050905 hasRelatedWork W1870026203 @default.
- W2277050905 hasRelatedWork W2028881502 @default.
- W2277050905 hasRelatedWork W2053140961 @default.
- W2277050905 hasRelatedWork W2149010456 @default.
- W2277050905 hasRelatedWork W2153703497 @default.
- W2277050905 hasRelatedWork W2166430258 @default.
- W2277050905 hasRelatedWork W2386095206 @default.
- W2277050905 hasRelatedWork W2397081216 @default.
- W2277050905 hasRelatedWork W2464302414 @default.
- W2277050905 hasRelatedWork W2507794850 @default.
- W2277050905 hasRelatedWork W2560082610 @default.
- W2277050905 hasRelatedWork W2997430429 @default.
- W2277050905 hasRelatedWork W3161218832 @default.
- W2277050905 hasRelatedWork W3164942262 @default.
- W2277050905 hasRelatedWork W67035591 @default.
- W2277050905 hasRelatedWork W2171160689 @default.
- W2277050905 isParatext "false" @default.
- W2277050905 isRetracted "false" @default.
- W2277050905 magId "2277050905" @default.
- W2277050905 workType "article" @default.