mlsanityData to 14 Oct 2026

StreetReaderAI: Making Street View Accessible Using Context-Aware Multimodal AI

arXiv 2508.08524 ↗First posted 11 Aug 2025cs.HC cs.AIcited by 5

Not on the map. Why?

Abstract (arXiv)

Interactive streetscape mapping tools such as Google Street View (GSV) and Meta Mapillary enable users to virtually navigate and experience real-world environments via immersive 360deg imagery but remain fundamentally inaccessible to blind users. We introduce StreetReaderAI, the first-ever accessible street view tool, which combines context-aware, multimodal AI, accessible navigation controls, and conversational speech. With StreetReaderAI, blind users can virtually examine destinations, engage in open-world exploration, or virtually tour any of the over 220 billion images and 100+ countries where GSV is deployed. We iteratively designed StreetReaderAI with a mixed-visual ability team and performed an evaluation with eleven blind users. Our findings demonstrate the value of an accessible street view in supporting POI investigations and remote route planning. We close by enumerating key guidelines for future work.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 26 of its 130 references that are in the map. First posted on arXiv 11 Aug 2025.

Builds on

26 of 130 references.

References · 26

  1. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,852
  2. 2016The Cityscapes Dataset for Semantic Urban Scene Understandingcited by 4,444
  3. 2016DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFscited by 3,241
  4. 2015VQA: Visual Question Answeringcited by 2,506
  5. 2019Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AIcited by 1,552
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  8. 2024WorldScribe: Towards Context-Aware Live Visual Descriptionscited by 27
  9. 2024GIS Copilot: Towards an Autonomous GIS Agent for Spatial Analysiscited by 27
  10. 2024Investigating Use Cases of AI-Powered Scene Description Applications for Blind and Low Vision Peoplecited by 24
  11. 2020Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challengecited by 17
  12. 2024Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinationscited by 12
14 more
  1. 2022CitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materialscited by 8
  2. 2024Context-Aware Image Descriptions for Web Accessibilitycited by 7
  3. 2024SonifyAR: Context-Aware Sound Generation in Augmented Realitycited by 5
  4. 2024CookAR: Affordance Augmentations in Wearable AR to Support Kitchen Tool Interactions for People with Low Visioncited by 5
  5. 2022Towards Global-Scale Crowd+AI Techniques to Map and Assess Sidewalks for People with Disabilitiescited by 3
  6. 2024Engaging with Children's Artwork in Mixed Visual-Ability Familiescited by 3
  7. 2024When Refreshable Tactile Displays Meet Conversational Agents: Investigating Accessible Data Presentation and Analysis with Touch and Speechcited by 3
  8. 2024An AI Guide to Enhance Accessibility of Social Virtual Reality for Blind Peoplecited by 2
  9. 2025EnVisionVR: A Scene Interpretation Tool for Visual Accessibility in Virtual Realitycited by 2
  10. 2025ArtInsight: Enabling AI-Powered Artwork Engagement for Mixed Visual-Ability Familiescited by 2
  11. 2022Accessible Interactive Maps for Visually Impaired Userscited by 1
  12. 2024TactIcons: Designing 3D Printed Map Icons for People who are Blind or have Low Visioncited by 1
  13. 2024Making Urban Art Accessible: Current Art Access Techniques, Design Considerations, and the Role of AIcited by 1
  14. 20253D Printed Maps and Icons for Inclusion: Testing in the Wild by People who are Blind or have Low Visioncited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 4.

5 papers.