mlsanityData to 7 Oct 2026

Identifying Crucial Objects in Blind and Low-Vision Individuals' Navigation

arXiv 2408.13175 ↗First posted 23 Aug 2024cs.CVcited by 5

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Abstract (arXiv)

This paper presents a curated list of 90 objects essential for the navigation of blind and low-vision (BLV) individuals, encompassing road, sidewalk, and indoor environments. We develop the initial list by analyzing 21 publicly available videos featuring BLV individuals navigating various settings. Then, we refine the list through feedback from a focus group study involving blind, low-vision, and sighted companions of BLV individuals. A subsequent analysis reveals that most contemporary datasets used to train recent computer vision models contain only a small subset of the objects in our proposed list. Furthermore, we provide detailed object labeling for these 90 objects across 31 video segments derived from the original 21 videos. Finally, we make the object list, the 21 videos, and object labeling in the 31 video segments publicly available. This paper aims to fill the existing gap and foster the development of more inclusive and effective navigation aids for the BLV community.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 17 of its 42 references that are in the map. First posted on arXiv 23 Aug 2024.

Builds on

17 of 42 references.

References · 17

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  2. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  3. 2017Mask R-CNNcited by 7,259
  4. 2016The Cityscapes Dataset for Semantic Urban Scene Understandingcited by 4,427
  5. 2022BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generationcited by 4,310
  6. 2016Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answeringcited by 2,498
  7. 2015VQA: Visual Question Answeringcited by 2,489
  8. 2019Deep High-Resolution Representation Learning for Visual Recognitioncited by 1,417
  9. 2016Semantic Understanding of Scenes through the ADE20K Datasetcited by 1,063
  10. 2022YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectorscited by 978
  11. 2018VizWiz Grand Challenge: Answering Visual Questions from Blind Peoplecited by 852
  12. 2023Recognize Anything: A Strong Image Tagging Modelcited by 305
5 more
  1. 2017Playing for Benchmarkscited by 169
  2. 2017Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenescited by 122
  3. 2021Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Modelscited by 74
  4. 2022LAVIS: A Library for Language-Vision Intelligencecited by 55
  5. 2024A Dataset for Crucial Object Recognition in Blind and Low-Vision Individuals' Navigationcited by 4

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 3; 2026: 1.

5 papers.

  1. 2024WalkVLM:Aid Visually Impaired People Walking by Vision Language Modelcited by 13
  2. 2025Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Userscited by 11
  3. 2026Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Userscited by 2
  4. 2025IKIWISI: An Interactive Visual Pattern Generator for Evaluating the Reliability of Vision-Language Models Without Ground Truthcited by 0
  5. 2025Hierarchical Instance Tracking to Balance Privacy Preservation with Accessible Informationcited by 0