Web: http://arxiv.org/abs/2209.07888

Sept. 19, 2022, 1:14 a.m. | Mathieu Gonzalez, Eric Marchand, Amine Kacete, Jérôme Royan

cs.CV updates on arXiv.org arxiv.org

Most classical SLAM systems rely on the static scene assumption, which limits
their applicability in real world scenarios. Recent SLAM frameworks have been
proposed to simultaneously track the camera and moving objects. However they
are often unable to estimate the canonical pose of the objects and exhibit a
low object tracking accuracy. To solve this problem we propose TwistSLAM++, a
semantic, dynamic, SLAM system that fuses stereo images and LiDAR information.
Using semantic information, we track potentially moving objects and …

arxiv semantic slam

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