Visual odometry (VO) plays an important role in robotics and autonomous navigation systems, enabling accurate estimation of camera motion from image sequences. This thesis investigates various aspects of Direct Sparse Odometry (DSO), a novel visual odometry algorithm known for its efficiency despite the use of a computationally heavy direct method ...
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RISE-VIO: Robust Initialization and Targeted Pose Robustification for INS-Centric Visual-Inertial Odometry Under Degraded Visual Conditions. [PDF]
Xu X, Ju R, Jiao W, Li L.
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IFA-ICP: A Low-Complexity and Image Feature-Assisted Iterative Closest Point (ICP) Scheme for Odometry Estimation in SLAM, and Its FPGA-Based Hardware Accelerator Design. [PDF]
Li JE, Hwang YT.
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Lidar-inertial SLAM method integrated with visual QR codes for indoor mobile robots. [PDF]
Yang L +5 more
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Online Extrinsic Calibration of Camera and LiDAR Based on Cascade Optimization. [PDF]
Hou C, He Z, Zhao T, Guo Z, Ji X.
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SPICE-HL3: Single-Photon, Inertial, and Stereo Camera dataset for Exploration of High-Latitude Lunar Landscapes. [PDF]
Rodríguez-Martínez D +5 more
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Performance Analysis of Keypoints Detection and Description Algorithms for Stereo Vision Based Odometry. [PDF]
Budzan S, Wyżgolik R, Lysko M.
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Real-time decentralized model predictive control for cooperative multi-robot object transport: experimental validation. [PDF]
Muhammed I, Nada AA, El-Hussieny H.
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ATRON: Autonomous trash retrieval for oceanic neatness. [PDF]
Abanes J +4 more
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RGB-Based Visual-Inertial Odometry via Knowledge Distillation from Self-Supervised Depth Estimation with Foundation Models. [PDF]
Song J, Lee SJ.
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