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Found 8 papers, 0 papers with code
NYC-Indoor-VPR: A Long-Term Indoor Visual Place Recognition Dataset with Semi-Automatic Annotation
Visual Place Recognition (VPR) in indoor environments is beneficial to humans and robots for better localization and navigation.
5G Edge Vision: Wearable Assistive Technology for People with Blindness and Low Vision
In an increasingly visual world, people with blindness and low vision (pBLV) face substantial challenges in navigating their surroundings and interpreting visual information.
VisPercep: A Vision-Language Approach to Enhance Visual Perception for People with Blindness and Low Vision
By combining the prompt and input image, a large vision-language model (i. e., InstructBLIP) generates detailed and comprehensive descriptions of the environment and identifies potential risks in the environment by analyzing the environmental objects and scenes, relevant to the prompt.
Distillation Improves Visual Place Recognition for Low-Quality Queries
The shift to online computing for real-time visual localization often requires streaming query images/videos to a server for visual place recognition (VPR), where fast video transmission may result in reduced resolution or increased quantization.
UNav: An Infrastructure-Independent Vision-Based Navigation System for People with Blindness and Low vision
Given a query image taken by an end-user on a mobile application, the pipeline leverages a visual place recognition (VPR) algorithm to find similar images in a reference image database of the target space.
Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance
We further assess the impact of the distance of an object to the camera on the detection accuracy and show that higher spatial resolution enables a greater detection range.
Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision
These functions enable the system to suggest an initial navigation path, continuously update the path as the user moves, and offer timely recommendation about the correction of the user's path.
NYU-VPR: Long-Term Visual Place Recognition Benchmark with View Direction and Data Anonymization Influences
Visual place recognition (VPR) is critical in not only localization and mapping for autonomous driving vehicles, but also in assistive navigation for the visually impaired population.
