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Jose Enrique Maese

3 accepted papers

2026

D-LIO: 6DoF Direct LiDAR-Inertial Odometry Based on Simultaneous Truncated Distance Field Mapping

RA-L 2026

This paper presents a new approach for 6DoF Direct LiDAR-Inertial Odometry (D-LIO) based on the simultaneous mapping of truncated distance fields on CPU. Such continuous representation (in the vicinity of the points) enables working with raw 3D LiDAR data online, avoiding the need of LiDAR feature s

Cited by 3SourcecodeScholar
2026

D-LIO: 6DoF Direct LiDAR-Inertial Odometry Based on Simultaneous Truncated Distance Field Mapping

ICRA 2026poster

This paper presents a new approach for 6DoF Direct LiDAR-Inertial Odometry (D-LIO) based on the simultaneous mapping of truncated distance fields on CPU. Such continuous representation (in the vicinity of the points) enables working with raw 3D LiDAR data online, avoiding the need of LiDAR feature s…

2026

DB-TSDF: Directional Bitmask-Based Truncated Signed Distance Fields for Efficient Volumetric Mapping

ICRA 2026poster

This paper presents a high-efficiency, CPU-only volumetric mapping framework based on a Truncated Signed Distance Field (TSDF). The system incrementally fuses raw LiDAR point-cloud data into a voxel grid using a directional bitmask-based integration scheme, producing dense and consistent TSDF repres…