PLVS: An Open-Source RGB-D and Stereo SLAM for volumetric reconstruction and 3D incremental segmentation
I am working hard during my free time and having fun with PLVS to finalize the outcoming paper:
PLVS: An Open-Source RBG-D and Stereo SLAM System with Keypoints, Keylines, Volumetric Mapping and 3D Incremental Segmentation
PLVS(*) is a real-time system which leverages sparse RGB-D and Stereo SLAM, volumetric mapping and 3D unsupervised incremental segmentation. PLVS stands for Points, Lines, Volumetric mapping and Segmentation. The system can run entirely on CPU or can profit by available GPU computational resources for some specific tasks. The underlying SLAM module is sparse and keyframe-based. It relies on the extraction and tracking of keypoints and keylines. Different volumetric mapping methods are supported and integrated in PLVS. A novel “reprojection” error is proposed for bundle-adjusting line segments. This error allows to better stabilize the position estimates of the mapped line segment endpoints and improves SLAM performances. An incremental segmentation method is implemented and integrated in the PLVS framework.
(*) You can pronounce it /plʌs/ (in Latin it would be read as “PLUS”, ‘U’ and ‘V’ were allographs).
PLVS is a work in progress. You can find videos and more details on this page.
We are currently testing our PLVS framework on an NVIDIA Jetson TX2 board which was kindly donated by NVIDIA Corporation. More details about our work and the obtained performances on the TX2 board will be reported in our outcoming paper.