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NavAI explores the integration of AI, into GNSS to improve the reliability and accuracy of measurements. The project focuses on multipath mitigation and adaptive measurement weighting. This repository contains the core AI algorithms, simulation environments, and tools developed as part of the PhD research.
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70
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Merge pull request #16 from AlvaroTena/chore/update-documentation
b99d404View on GitHubdocs: update README.md to clarify cascaded evaluation features
fddc938View on GitHubMerge pull request #15 from AlvaroTena/chore/delete-github-workflow
90395faView on GitHubMerge pull request #14 from AlvaroTena/chore/update-documentation
c503225View on GitHubchore: enhance project configuration and documentation
fc2b6acView on GitHubMerge pull request #13 from AlvaroTena/feature/evaluation_script
a1e626dView on GitHubfeat: update dependencies and enhance reward analysis
ec9fbeaView on GitHubfeat: add filter_subset parameter to PE_Env and RLWrapper
01f1476View on GitHubfeature: add ppo_eval.py outline for PPO policy evaluation
5e3c058View on GitHubMerge pull request #12 from AlvaroTena/feature/scenario_neptune_memory_control
cddb8ffView on GitHubfix: UBX message decoding and optimize epoch extraction process
9e81156View on GitHubfix: enhance scenario management and update GNSS epoch extraction
563026cView on GitHubfeat: update scenario configurations and enhance scenario loading with curriculum learning support
140f45eView on GitHub