gbarbarani/re-ranking-for-VPR
Code for "Are Local Features All You Need for Cross-Domain Visual Place Recognition?" CVPR IMW 2023.
This project helps self-driving cars and drone navigation systems identify their location accurately by comparing a live camera feed (query image) with a database of known locations. It takes in collections of images, each tagged with its precise geographic coordinates, and outputs a refined list of potential matching locations, improving the system's ability to recognize where it is, even under challenging conditions like night-time or different seasons. Robotics engineers and autonomous system developers would find this useful for improving navigation reliability.
No commits in the last 6 months.
Use this if you need to significantly improve the accuracy of visual place recognition for autonomous systems operating in diverse, real-world environments with varying conditions.
Not ideal if you are looking for a simple, off-the-shelf navigation solution without the need for advanced re-ranking or cross-domain performance improvements.
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Language
Python
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Last pushed
Aug 03, 2023
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