Shubodh/lidar-image-pretrain-VPR
LiDAR Image Pretraining for Visual Place Recognition
This project helps robotics engineers and researchers improve how robots recognize places using both LiDAR sensor data and camera images. It takes raw LiDAR scans and corresponding visual images as input, processes them using a specialized pre-training technique, and outputs a more robust system for determining a robot's location. This is ideal for those working on autonomous navigation, mapping, or robotic localization.
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Use this if you are a robotics engineer or researcher working on visual place recognition and need to combine information from both LiDAR and standard cameras to accurately locate a robot.
Not ideal if you are looking for a general-purpose image recognition tool or a solution that doesn't involve LiDAR data.
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45
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2
Language
Python
License
MIT
Category
Last pushed
Oct 07, 2024
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