EDL-VINS: Protocol-Controlled Evaluation of an EDLines and Line-Flow Point-Line Visual-Inertial System. [PDF]
Sensors (Basel)Yang B +5 more
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Bio-Inspired Perception-Memory Coupling for Robust LiDAR-Inertial Odometry in Dynamic Environments. [PDF]
Biomimetics (Basel)Hou B, Yu F, Zhang Y, Ping B, Wang Z.
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A Real-World Benchmark of Monte Carlo-Assisted EKF Odometry for Online Pose Estimation in 2D LiDAR SLAM. [PDF]
Sensors (Basel)Kudriashov A +3 more
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Feedback-Driven SLAM with Adaptive Point Cloud Selection and Uncertainty-Aware Pose Optimization. [PDF]
Sensors (Basel)Shi Y, Zhang F, Zhang Z, Hu Y, Hu Z.
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DB-LIO: Database-Driven LiDAR-Inertial Odometry for Memory-Bounded Persistent Mapping. [PDF]
Sensors (Basel)Kim HH, Kang HH, Noh DH, Lee HM.
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DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination
IEEE Robotics and Automation Letters, 2020 Visual odometry shows excellent performance in a wide range of environments. However, in visually-denied scenarios (e.g. heavy smoke or darkness), pose estimates degrade or even fail.
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