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update readme [skip ci]
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goldbattle authored Apr 3, 2023
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## News / Events

* **April 3, 2023** - We have released a monocular plane-aided VINS, termed [ov_plane](https://github.com/rpng/ov_plane), which leverages the OpenVINS project. Both now support the released [Indoor AR Table](https://github.com/rpng/ar_table_dataset) dataset.
* **July 14, 2022** - Improved feature extraction logic for >100hz tracking, some bug fixes and updated scripts. See v2.6.1 [PR#259](https://github.com/rpng/open_vins/pull/259) and v2.6.2 [PR#264](https://github.com/rpng/open_vins/pull/264).
* **March 14, 2022** - Initial dynamic initialization open sourcing, asynchronous subscription to inertial readings and publishing of odometry, support for lower frequency feature tracking. See v2.6 [PR#232](https://github.com/rpng/open_vins/pull/232) for details.
* **December 13, 2021** - New YAML configuration system, ROS2 support, Docker images, robust static initialization based on disparity, internal logging system to reduce verbosity, image transport publishers, dynamic number of features support, and other small fixes. See
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## Codebase Extensions

* **[ov_plane](https://github.com/rpng/ov_plane)** - A real-time monocular visual-inertial odometry (VIO) system which leverages
environmental planes. At the core it presents an efficient robust monocular-based plane detection algorithm which does
not require additional sensing modalities such as a stereo, depth camera or neural network. The plane detection and tracking
algorithm enables real-time regularization of point features to environmental planes which are either maintained in the state
vector as long-lived planes, or marginalized for efficiency. Planar regularities are applied to both in-state SLAM and
out-of-state MSCKF point features, enabling long-term point-to-plane loop-closures due to the large spacial volume of planes.

* **[vicon2gt](https://github.com/rpng/vicon2gt)** - This utility was created to generate groundtruth trajectories using
a motion capture system (e.g. Vicon or OptiTrack) for use in evaluating visual-inertial estimation systems.
Specifically we calculate the inertial IMU state (full 15 dof) at camera frequency rate and generate a groundtruth
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