FR-LIO: Fast and Robust Lidar-Inertial Odometry by Tightly-Coupled Iterated Kalman Smoother and Robocentric Voxels

8 February 2023

Papers citing "FR-LIO: Fast and Robust Lidar-Inertial Odometry by Tightly-Coupled Iterated Kalman Smoother and Robocentric Voxels"

7 / 7 papers shown

Title
GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection Yihang Tao Senkang Hu Yue Hu Haonan An Hangcheng Cao Yuguang Fang AAML 44 1 0 05 Jan 2025
AS-LIO: Spatial Overlap Guided Adaptive Sliding Window LiDAR-Inertial Odometry for Aggressive FOV Variation Tianxiang Zhang Xuanxuan Zhang Zongbo Liao Xin Xia You Li 16 5 0 21 Aug 2024
LiDAR Odometry Survey: Recent Advancements and Remaining Challenges Dongjae Lee Minwoo Jung Wooseong Yang Ayoung Kim 46 43 0 29 Dec 2023
Efficient and Probabilistic Adaptive Voxel Mapping for Accurate Online LiDAR Odometry Chongjian Yuan Wei xu Xiyuan Liu Xiaoping Hong Fu Zhang 44 82 0 15 Sep 2021
CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System Jiajun Lv Kewei Hu Jinhong Xu Yong-jin Liu Xiushui Ma Xingxing Zuo 55 45 0 10 Sep 2021
FAST-LIO: A Fast, Robust LiDAR-inertial Odometry Package by Tightly-Coupled Iterated Kalman Filter Wenyuan Xu Fu Zhang 66 601 0 16 Oct 2020
The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth Milad Ramezani Yiduo Wang Marco Camurri David Wisth Matías Mattamala Maurice F. Fallon 3DV 70 189 0 12 Mar 2020