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A multi-sensor SLAM framework that tightly couples GNSS, LiDAR, IMU, and Camera data using factor-graph optimization for robust localization in complex urban environments.
stars
6
forks
1
The project represents a high-complexity robotics implementation (SLAM) combining several state-of-the-art sensor modalities. While technically sophisticated, it has very low adoption (6 stars) and acts primarily as a research artifact extending the existing FAST-LIVO2 framework. It is defensible due to the difficulty of the domain, but easily replicable by other researchers in the same niche.
TECH STACK
INTEGRATION
reference_implementation
READINESS