PG-LIO fuses intensity-patch (photometric) and geometric LiDAR constraints with IMU preintegration in a factor graph, improving odometry accuracy in geometrically self-similar environments.
MIMOSA: A Multi-Modal SLAM Framework for Resilient Autonomy against Sensor Degradation,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
PG-LIO: Photometric-Geometric fusion for Robust LiDAR-Inertial Odometry
PG-LIO fuses intensity-patch (photometric) and geometric LiDAR constraints with IMU preintegration in a factor graph, improving odometry accuracy in geometrically self-similar environments.