ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.01888
  4. Cited By
PO-MSCKF: An Efficient Visual-Inertial Odometry by Reconstructing the
  Multi-State Constrained Kalman Filter with the Pose-only Theory

PO-MSCKF: An Efficient Visual-Inertial Odometry by Reconstructing the Multi-State Constrained Kalman Filter with the Pose-only Theory

2 July 2024
Du Xueyu
Zhang Lilian
Liu Ruochen
Wang Maosong
Wu Wenqi
Mao Jun
ArXivPDFHTML

Papers citing "PO-MSCKF: An Efficient Visual-Inertial Odometry by Reconstructing the Multi-State Constrained Kalman Filter with the Pose-only Theory"

2 / 2 papers shown
Title
A Pose-only Solution to Visual Reconstruction and Navigation
A Pose-only Solution to Visual Reconstruction and Navigation
Qi Cai
Lilian Zhang
Yuanxin Wu
Wenxian Yu
D. Hu
37
29
0
02 Mar 2021
Direct Sparse Visual-Inertial Odometry using Dynamic Marginalization
Direct Sparse Visual-Inertial Odometry using Dynamic Marginalization
Lukas von Stumberg
V. Usenko
Daniel Cremers
42
224
0
16 Apr 2018
1