Matches in SemOpenAlex for { <https://semopenalex.org/work/W2291499683> ?p ?o ?g. }
- W2291499683 endingPage "237" @default.
- W2291499683 startingPage "230" @default.
- W2291499683 abstract "Vehicle detection is considered to be a significant task in automatic driving which is regarded as a challenge and thorny issue for researchers in this field. The majority of commercial vehicle detection systems are based on radar. However, methods using radar suffer from problems such as the one encountered in zigzag motions. Image processing techniques can overcome these problems .This paper proposed an approach based on hierarchical clustering in which lowlevel image features are used to detect on-road vehicles. The approach introduced in this study is based on a new clustering method called teammate selection. In this clustering method, a new merging measure based on cluster center distances and gray scale values was introduced. Each vehicle was assumed to be a cluster. In traditional clustering methods, the threshold distance for each cluster was fixed; however, in the method proposed in this paper, the threshold distance is adaptive which varies according to the position of each cluster. The threshold measure was computed with bivariate normal distribution. Sampling and teammate selection for each cluster were carried out by cluster members based on weighted average. Unlike other methods which used only horizontal or vertical lines, a fully image edge detection algorithm was utilized in this study. Corner is an important video image feature which is commonly used in vehicle detection systems. However, Harris features were used in this paper to detect the corners. Furthermore, LISA data set was used to evaluate the proposed method. Several experiments were conducted to investigate the performance of proposed algorithm. Experimental results indicated good performance compared to other algorithms." @default.
- W2291499683 created "2016-06-24" @default.
- W2291499683 creator A5001555134 @default.
- W2291499683 creator A5079154286 @default.
- W2291499683 date "2015-12-01" @default.
- W2291499683 modified "2023-09-24" @default.
- W2291499683 title "On-road Vehicle Detection based on Hierarchical Clustering and Adaptive Vehicle Localization" @default.
- W2291499683 cites W1041053190 @default.
- W2291499683 cites W1522426696 @default.
- W2291499683 cites W1565050238 @default.
- W2291499683 cites W1855646318 @default.
- W2291499683 cites W1967659990 @default.
- W2291499683 cites W1977798567 @default.
- W2291499683 cites W1994541145 @default.
- W2291499683 cites W1995903777 @default.
- W2291499683 cites W2006564732 @default.
- W2291499683 cites W2026719822 @default.
- W2291499683 cites W2032423845 @default.
- W2291499683 cites W2040720916 @default.
- W2291499683 cites W2041404167 @default.
- W2291499683 cites W2056824392 @default.
- W2291499683 cites W2074929618 @default.
- W2291499683 cites W2079894891 @default.
- W2291499683 cites W2080801496 @default.
- W2291499683 cites W2100138625 @default.
- W2291499683 cites W2108875906 @default.
- W2291499683 cites W2111308925 @default.
- W2291499683 cites W2116096484 @default.
- W2291499683 cites W2118003325 @default.
- W2291499683 cites W2118877769 @default.
- W2291499683 cites W2123066336 @default.
- W2291499683 cites W2125147620 @default.
- W2291499683 cites W2132358057 @default.
- W2291499683 cites W2132891752 @default.
- W2291499683 cites W2136767008 @default.
- W2291499683 cites W2138273245 @default.
- W2291499683 cites W2140623477 @default.
- W2291499683 cites W2145023731 @default.
- W2291499683 cites W2151023586 @default.
- W2291499683 cites W2154271851 @default.
- W2291499683 cites W2161472961 @default.
- W2291499683 cites W2162160345 @default.
- W2291499683 cites W2164598857 @default.
- W2291499683 cites W2172183560 @default.
- W2291499683 cites W2187541319 @default.
- W2291499683 cites W1996057637 @default.
- W2291499683 doi "https://doi.org/10.7508/jist.2015.04.004" @default.
- W2291499683 hasPublicationYear "2015" @default.
- W2291499683 type Work @default.
- W2291499683 sameAs 2291499683 @default.
- W2291499683 citedByCount "0" @default.
- W2291499683 crossrefType "journal-article" @default.
- W2291499683 hasAuthorship W2291499683A5001555134 @default.
- W2291499683 hasAuthorship W2291499683A5079154286 @default.
- W2291499683 hasConcept C124101348 @default.
- W2291499683 hasConcept C153180895 @default.
- W2291499683 hasConcept C154945302 @default.
- W2291499683 hasConcept C31972630 @default.
- W2291499683 hasConcept C41008148 @default.
- W2291499683 hasConcept C73555534 @default.
- W2291499683 hasConcept C89600930 @default.
- W2291499683 hasConcept C92835128 @default.
- W2291499683 hasConceptScore W2291499683C124101348 @default.
- W2291499683 hasConceptScore W2291499683C153180895 @default.
- W2291499683 hasConceptScore W2291499683C154945302 @default.
- W2291499683 hasConceptScore W2291499683C31972630 @default.
- W2291499683 hasConceptScore W2291499683C41008148 @default.
- W2291499683 hasConceptScore W2291499683C73555534 @default.
- W2291499683 hasConceptScore W2291499683C89600930 @default.
- W2291499683 hasConceptScore W2291499683C92835128 @default.
- W2291499683 hasIssue "12" @default.
- W2291499683 hasLocation W22914996831 @default.
- W2291499683 hasOpenAccess W2291499683 @default.
- W2291499683 hasPrimaryLocation W22914996831 @default.
- W2291499683 hasRelatedWork W1774133399 @default.
- W2291499683 hasRelatedWork W1837631986 @default.
- W2291499683 hasRelatedWork W1924485039 @default.
- W2291499683 hasRelatedWork W1966489542 @default.
- W2291499683 hasRelatedWork W1967476600 @default.
- W2291499683 hasRelatedWork W1975541039 @default.
- W2291499683 hasRelatedWork W1990878189 @default.
- W2291499683 hasRelatedWork W2029643675 @default.
- W2291499683 hasRelatedWork W2030924161 @default.
- W2291499683 hasRelatedWork W2061869840 @default.
- W2291499683 hasRelatedWork W2077982506 @default.
- W2291499683 hasRelatedWork W2093794514 @default.
- W2291499683 hasRelatedWork W2100894530 @default.
- W2291499683 hasRelatedWork W2116775856 @default.
- W2291499683 hasRelatedWork W2130269714 @default.
- W2291499683 hasRelatedWork W2153253242 @default.
- W2291499683 hasRelatedWork W2168733639 @default.
- W2291499683 hasRelatedWork W2310428722 @default.
- W2291499683 hasRelatedWork W2548896001 @default.
- W2291499683 hasRelatedWork W3197718717 @default.
- W2291499683 hasVolume "3" @default.
- W2291499683 isParatext "false" @default.
- W2291499683 isRetracted "false" @default.
- W2291499683 magId "2291499683" @default.