Semantic Landmark Localization
Semantic Landmark Localization is a landmark-based localization method that incorporates high-level semantic information to identify and match meaningful environmental features, distinguishing itself from traditional geometric or appearance-based approaches by leveraging object-level context and semantic categorization for improved interpretability and robustness in spatial reasoning tasks.
29
Publications
1.4K
Citations
114
Authors
39
Institutions
Publications per year
2017–2026
21
Parents
29
Probabilistic data association for semantic SLAM
Sean L. Bowman, Nikolay Atanasov, Kostas Daniilidis et al. · 2017 · 474 citations
Improving vehicle localization using semantic and pole-like landmarks
Mohsen Sefati, Maureen Daum, B. Sondermann et al. · 2017 · 102 citations
1–5 of 29
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39
Tongji University
Shanghai, China
2 h-index
12 publications
274 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
8 publications
2.2K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
3 publications
144 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
2 publications
56 citations

University of Alicante
Alicante, Spain
1 h-index
3 publications
69 citations

University of Edinburgh
Edinburgh, United Kingdom
1 h-index
3 publications
30 citations

Zhejiang University of Technology
Hangzhou, China
1 h-index
4 publications
88 citations

Zhengzhou University
Zhengzhou, China
1 h-index
1 publications
36 citations
1–8 of 39
TPAMI · 2 publications · 99 citations
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Repository · 2 publications · 31 citations
2
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2 publications · 115 citations
2
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1 publications · 21 citations
1
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1 publications · 10 citations
1
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1–5