Perception in the Dark-Development of a ToF Visual Inertial Odometry System. [PDF]
Chen S, Chang CW, Wen CY.
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Latency Compensated Visual-Inertial Odometry for Agile Autonomous Flight. [PDF]
Lee K, Johnson EN.
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MA-EVIO: A Motion-Aware Approach to Event-Based Visual-Inertial Odometry. [PDF]
Shahraki M, Elamin A, El-Rabbany A.
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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.
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Robust Visual-Inertial Odometry with Learning-Based Line Features in a Illumination-Changing Environment. [PDF]
Li X, Liu C, Yan X.
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Event-Based Visual/Inertial Odometry for UAV Indoor Navigation. [PDF]
Elamin A, El-Rabbany A, Jacob S.
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Uncertainty-Aware Depth Network for Visual Inertial Odometry of Mobile Robots. [PDF]
Song J, Jo H, Jin Y, Lee SJ.
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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.
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Mix-VIO: A Visual Inertial Odometry Based on a Hybrid Tracking Strategy. [PDF]
Yuan H, Han K, Lou B.
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Pedestrian Dead Reckoning-Assisted Visual Inertial Odometry Integrity Monitoring. [PDF]
Wang Y, Peng A, Lin Z, Zheng L, Zheng H.
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