RWKV-VIO: An Efficient and Low-Drift Visual-Inertial Odometry Using an End-to-End Deep Network. [PDF]
Yang J, Xu X, Xu Z, Wu Z, Chu W.
europepmc +1 more source
Robust Visual-Inertial Odometry with Learning-Based Line Features in a Illumination-Changing Environment. [PDF]
Li X, Liu C, Yan X.
europepmc +1 more source
Event-Based Visual/Inertial Odometry for UAV Indoor Navigation. [PDF]
Elamin A, El-Rabbany A, Jacob S.
europepmc +1 more source
Uncertainty-Aware Depth Network for Visual Inertial Odometry of Mobile Robots. [PDF]
Song J, Jo H, Jin Y, Lee SJ.
europepmc +1 more source
A Method for Measuring the Error Rules in Visual Inertial Odometry Based on Scene Matching Corrections. [PDF]
Liu H, Gong Z, Shen J, Li Y, Long Q.
europepmc +1 more source
Mix-VIO: A Visual Inertial Odometry Based on a Hybrid Tracking Strategy. [PDF]
Yuan H, Han K, Lou B.
europepmc +1 more source
Planar environmental constraints aided monocular visual inertial odometry
Motivated by the goal of enhancing the accuracy and robustness of visual inertial navigation systems(VINSs) across a wide spectrum of dynamic scenarios, protracted missions and expansive navigation ranges, we designed a monocular visual inertial odometry
DUO Jingyun +3 more
doaj
Pedestrian Dead Reckoning-Assisted Visual Inertial Odometry Integrity Monitoring. [PDF]
Wang Y, Peng A, Lin Z, Zheng L, Zheng H.
europepmc +1 more source
Online Spatial and Temporal Calibration for Monocular Direct Visual-Inertial Odometry. [PDF]
Feng Z, Li J, Zhang L, Chen C.
europepmc +1 more source
Visual-Inertial Odometry with Robust Initialization and Online Scale Estimation. [PDF]
Hong E, Lim J.
europepmc +1 more source

