{"doi":"10.1109/ict-robot.2018.8549907","title":"Basic Study on Viewpoints Classification Method using Car Distribution on the Road","abstract":null,"journal":"2018 International Conference on Information and Communication Technology Robotics (ICT-ROBOT)","year":2018,"id":592514,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":34564,"name":"Hiroyuki Miyamoto","orcid":"0000-0003-3442-0102","position":1,"is_corresponding":false},{"id":1516140,"name":"Watcharin Tangsuksant","orcid":null,"position":2,"is_corresponding":false},{"id":1516141,"name":"Kodai Kitagawa","orcid":null,"position":3,"is_corresponding":false},{"id":1516142,"name":"Chikamune Wada","orcid":null,"position":4,"is_corresponding":false},{"id":1516139,"name":"Masashi Noda","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Basic Study on Viewpoints Classification Method using Car Distribution on the Road","abstract":"In order to provide a notification system for the blind awaiting a bus, a classification of viewpoints is necessary. In a previous study, we classified the viewpoints in non-congested traffic using road features extraction. However, the viewpoints in congested traffic have not yet been discussed; hence this paper proposes a viewpoints classification using car distribution on the road in congested traffic. The study aimed to classify the viewpoints to two classes as \"Good Viewpoints\" and \"Bad Viewpoints\" with 100 images for each class. The experimental results showed a 76% accuracy of the proposed method.","is_dataset_classified":null,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"26657633","pmcid":null,"openalex_id":"https://openalex.org/W2902924992","authors":[],"funders":[],"total_grants":0,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[{"year":2019,"count":1}],"oa_status":"closed","license":null,"oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx7/8528201/8549858/08549907.pdf?arnumber=8549907","host_type":"publisher"},{"url":"https://doi.org/10.1109/ict-robot.2018.8549907","host_type":""}],"fields_of_study":["Advanced Neural Network Applications","Vehicle License Plate Recognition","Infrastructure Maintenance and Monitoring"],"mesh_terms":[],"keywords":["Viewpoints","Computer science","Class (philosophy)","Road traffic","Artificial intelligence","Data mining","Transport engineering","Engineering"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Sustainable cities and communities"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-26T14:00:08.227631Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}