{"title":"TMFPMap-NVIG: Temporal Multi-Scale Fusion Perception Online HD Map Construction for Navigation of Visually Impaired Groups","authors":"Jingtao Zhang;Manping Fan;Yupeng Chen;Ruoyu Wang;Zhiwen Zheng;Jialing Xiao;Xiangxiang Wang;Yongbing Yu;Qi He;BO Gong;Lirui Xue;Liyong Ren","doi":"10.1109/ACCESS.2025.3565770","DOIUrl":null,"url":null,"abstract":"Accurate online high-definition (HD) map construction is crucial for visually impaired individuals navigating complex outdoor environments. Existing methods relying on single-frame inputs suffer from occlusions and distortions in dynamic scenes. To address these challenges, this paper proposes TMFPMap-NVIG, a novel online HD map generation framework designed specifically for assistive navigation. TMFPMap-NVIG introduces an Adaptive Feature Extractor using multi-scale strategies for capturing global and local information, a Vectorized Element Decoder that integrates hierarchical decoding and critical region prioritization to generate detailed map elements, Temporal Query Mapping for cross-frame consistency of static elements, and a Multi-Frame Feature Aggregator enhancing spatiotemporal coherence via recursive feature updates. Evaluations conducted on the nuScenes and Argoverse2 datasets show TMFPMap-NVIG surpasses state-of-the-art methods by 4.8%-15.2% in mean Average Precision (mAP), with accuracy improvements of 7.3%, 4.9%, and 2.2% for detecting crosswalks, lane lines, and road boundaries, respectively, demonstrating robust performance under environmental disturbances.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"78527-78540"},"PeriodicalIF":3.4000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10980252","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Access","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10980252/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Accurate online high-definition (HD) map construction is crucial for visually impaired individuals navigating complex outdoor environments. Existing methods relying on single-frame inputs suffer from occlusions and distortions in dynamic scenes. To address these challenges, this paper proposes TMFPMap-NVIG, a novel online HD map generation framework designed specifically for assistive navigation. TMFPMap-NVIG introduces an Adaptive Feature Extractor using multi-scale strategies for capturing global and local information, a Vectorized Element Decoder that integrates hierarchical decoding and critical region prioritization to generate detailed map elements, Temporal Query Mapping for cross-frame consistency of static elements, and a Multi-Frame Feature Aggregator enhancing spatiotemporal coherence via recursive feature updates. Evaluations conducted on the nuScenes and Argoverse2 datasets show TMFPMap-NVIG surpasses state-of-the-art methods by 4.8%-15.2% in mean Average Precision (mAP), with accuracy improvements of 7.3%, 4.9%, and 2.2% for detecting crosswalks, lane lines, and road boundaries, respectively, demonstrating robust performance under environmental disturbances.
IEEE AccessCOMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
9.80
自引率
7.70%
发文量
6673
审稿时长
6 weeks
期刊介绍:
IEEE Access® is a multidisciplinary, open access (OA), applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE''s fields of interest.
IEEE Access will publish articles that are of high interest to readers, original, technically correct, and clearly presented. Supported by author publication charges (APC), its hallmarks are a rapid peer review and publication process with open access to all readers. Unlike IEEE''s traditional Transactions or Journals, reviews are "binary", in that reviewers will either Accept or Reject an article in the form it is submitted in order to achieve rapid turnaround. Especially encouraged are submissions on:
Multidisciplinary topics, or applications-oriented articles and negative results that do not fit within the scope of IEEE''s traditional journals.
Practical articles discussing new experiments or measurement techniques, interesting solutions to engineering.
Development of new or improved fabrication or manufacturing techniques.
Reviews or survey articles of new or evolving fields oriented to assist others in understanding the new area.