LOG-LIO2: A LiDAR-Inertial Odometry with Efficient Uncertainty Analysis

Documenti analoghi

• LIMOT: A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking
  di: Zhu, Zhongyang, et al.
  Pubblicazione: (2023)
• N$^{3}$-Mapping: Normal Guided Neural Non-Projective Signed Distance Fields for Large-scale 3D Mapping
  di: Song, Shuangfu, et al.
  Pubblicazione: (2024)
• SR-LIO++: Efficient LiDAR-Inertial Odometry and Quantized Mapping with Sweep Reconstruction
  di: Yuan, Zikang, et al.
  Pubblicazione: (2025)
• EllipseLIO: Adaptive LiDAR Inertial Odometry with an Ellipsoid Representation
  di: Border, Rowan, et al.
  Pubblicazione: (2026)
• COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry
  di: Pfreundschuh, Patrick, et al.
  Pubblicazione: (2023)