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
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
Pedestrian Dead Reckoning-Assisted Visual Inertial Odometry Integrity Monitoring. [PDF]
Wang Y, Peng A, Lin Z, Zheng L, Zheng H.
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
Online Spatial and Temporal Calibration for Monocular Direct Visual-Inertial Odometry. [PDF]
Feng Z, Li J, Zhang L, Chen C.
europepmc +1 more source
Practical Deep Feature-Based Visual-Inertial Odometry
Hamesse, Charles +3 more
openaire +2 more sources
Visual-Inertial Odometry with Robust Initialization and Online Scale Estimation. [PDF]
Hong E, Lim J.
europepmc +1 more source
Indoor Localization using Computer Vision and Visual-Inertial Odometry. [PDF]
Fusco G, Coughlan JM.
europepmc +1 more source
Monocular Visual-Inertial Odometry with an Unbiased Linear System Model and Robust Feature Tracking Front-End. [PDF]
Qiu X, Zhang H, Fu W, Zhao C, Jin Y.
europepmc +1 more source

