Showing 5 open source projects for "data structures c"

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  • 1
    Direct LiDAR-Inertial Odometry

    Direct LiDAR-Inertial Odometry

    A new lightweight LiDAR-inertial odometry algorithm

    DLIO is a new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction. It features several algorithmic improvements over its predecessor, DLO, and was presented at the IEEE International Conference on Robotics and Automation (ICRA) in London, UK in 2023.
    Downloads: 0 This Week
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  • 2
    XIVO

    XIVO

    X Inertial-aided Visual Odometry

    XIVO is an open-source repository for visual-inertial odometry/mapping. It is a simplified version of Corvis [Jones et al.,Tsotsos et al.], designed for pedagogical purposes, and incorporates odometry (relative motion of the sensor platform), local mapping (pose relative to a reference frame of the oldest visible features), and global mapping (pose relative to a global frame, including loop-closure and global re-localization, this feature, present in Corvis, is not yet incorporated in XIVO)....
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  • 3
    Kimera-VIO

    Kimera-VIO

    Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation

    Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation. Kimera-VIO is a Visual Inertial Odometry pipeline for accurate State Estimation from Stereo + IMU data. It can optionally use Mono + IMU data instead of stereo cameras.
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  • 4
    ====== OIL (Object Introspection Library) for C++ ====== Aims at Facilitating the Object Introspection Capabilities for C++ Developers. The Goals is to be able to display and modify the contents of any given C++ Object at run time.
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    Okapi Framework (Old .NET version)

    See http://okapi.opentag.com/ for LATES VERSION of the Okapi Framework

    THIS VERSION ON SOURCEFORGE IS NO LONGER SUPPORTED and works only on Windows. The Okapi Framework is a set of components and tools for localization and translation tasks. THE NEWEST JAVA-BASED VERSION OF OKAPI IS AVAILABLE AT: http://okapi.opentag.com/ The new version runs on Windows, Mac, Linux, etc.
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    Downloads: 22 This Week
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