vandal-vpr/vg-transformers
Official Repository of "Learning Sequential Descriptors for Sequence-based Visual Place Recognition "
This project helps self-driving car engineers and robotics researchers train and evaluate systems that identify a vehicle's exact location based on a sequence of images. By feeding in street-level image sequences, it outputs highly accurate place recognition models. This is for professionals building autonomous navigation systems that need to robustly understand where a robot or vehicle is located.
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Use this if you need to build or benchmark visual place recognition models for autonomous vehicles or robots using sequences of images, especially under varying environmental conditions.
Not ideal if your primary need is single-image object detection or general image classification tasks unrelated to continuous localization.
Stars
53
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7
Language
Python
License
MIT
Category
Last pushed
Apr 08, 2024
Commits (30d)
0
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