no code implementations • 31 Mar 2024 • Diwei Sheng, Anbang Yang, John-Ross Rizzo, Chen Feng
Visual Place Recognition (VPR) in indoor environments is beneficial to humans and robots for better localization and navigation.
no code implementations • 23 Nov 2023 • Tommy Azzino, Marco Mezzavilla, Sundeep Rangan, Yao Wang, John-Ross Rizzo
In an increasingly visual world, people with blindness and low vision (pBLV) face substantial challenges in navigating their surroundings and interpreting visual information.
no code implementations • 31 Oct 2023 • Yu Hao, Fan Yang, Hao Huang, Shuaihang Yuan, Sundeep Rangan, John-Ross Rizzo, Yao Wang, Yi Fang
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.
no code implementations • 10 Oct 2023 • Anbang Yang, Yao Wang, John-Ross Rizzo, Chen Feng
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.
no code implementations • 22 Sep 2022 • Anbang Yang, Mahya Beheshti, Todd E Hudson, Rajesh Vedanthan, Wachara Riewpaiboon, Pattanasak Mongkolwat, Chen Feng, John-Ross Rizzo
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.
no code implementations • 17 Sep 2022 • Yu Hao, Haoyang Pei, Yixuan Lyu, Zhongzheng Yuan, John-Ross Rizzo, Yao Wang, Yi Fang
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.
no code implementations • 17 Aug 2022 • Yu Hao, Junchi Feng, John-Ross Rizzo, Yao Wang, Yi Fang
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.
no code implementations • 18 Oct 2021 • Diwei Sheng, Yuxiang Chai, Xinru Li, Chen Feng, Jianzhe Lin, Claudio Silva, John-Ross Rizzo
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.