Results 121 to 130 of about 1,555 (163)

Practical Deep Feature-Based Visual-Inertial Odometry

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods
Hamesse, Charles, Vlaminck, Michiel, Luong, Hiep, Haelterman, Rob   +3 more
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SPICE-HL3: Single-Photon, Inertial, and Stereo Camera dataset for Exploration of High-Latitude Lunar Landscapes. [PDF]

Sci Data
Rodríguez-Martínez D, van der Meer D, Song J, Bera A, Pérez-Del-Pulgar CJ, Olivares-Mendez MA.   +5 more
europepmc   +1 more source

VisualRNet: Lightweight Camera Rotation Estimation from Low-Resolution Optical Flow via Cross-Modal Supervision. [PDF]

Sensors (Basel)
Yang X, Wang H, Ni J.
europepmc   +1 more source

Adaptive Multi-Sensor Fusion Localization with Eigenvalue-Based Degradation Detection for Mobile Robots. [PDF]

Sensors (Basel)
Huang W, Xiang L, Chen R, Xu S, Wang Q.
europepmc   +1 more source

Research on Navigation Method for Subsea Drilling Robot Based on Inertial Navigation and Odometry. [PDF]

Sensors (Basel)
Liu Y, Zhou P, Xiao F, Li C, Li J, Chen J, Ren Z.   +6 more
europepmc   +1 more source

Deskewed LiDAR Odometry for Quadruped Robots in Environments with Varying Elevation. [PDF]

Sensors (Basel)
Han E, Lee H.
europepmc   +1 more source

Integrated LiDAR-Based Localization Correction Using a Dedicated Support Sign for Autonomous Vehicles. [PDF]

Sensors (Basel)
Oh Y, Jang S, Yoon I, Park B, Moon B.
europepmc   +1 more source

VINA-SLAM: A Voxel-Based Inertial and Normal-Aligned LiDAR-IMU SLAM. [PDF]

Sensors (Basel)
Zhang R, Sun B.
europepmc   +1 more source

Accurate and Robust Train Localization: Fusing Degeneracy-Aware LiDAR-Inertial Odometry and Visual Landmark Correction. [PDF]

Sensors (Basel)
Yue L, Wang P, Mu J, Cai C, Wang D, Ren H.   +5 more
europepmc   +1 more source

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Cooperative Visual-Inertial Odometry

2021 IEEE International Conference on Robotics and Automation (ICRA), 2021
This paper studies the problem of multi-robot cooperative visual-inertial localization where each robot is equipped with only a single camera and IMU. We develop two cooperative visual-inertial odometry (C-VIO) algorithms within the multi-state constraint Kalman filter (MSCKF) framework, in which each robot utilizes not only its own measurements but ...
Pengxiang Zhu, Yulin Yang, Wei Ren 0001, Guoquan Huang 0001   +3 more
openaire   +1 more source