本文主要介绍了一种新型的体积式语义映射方法——Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery。该方法旨在让机器人在真实环境中的自动导航与交互操作更加鲁棒，通过构建复杂、非结构化的场景表示，并使用高层次实体如物体实例来理解环境。方法的核心在于使用在线定位的RGBD摄像机扫描，实...
'Voxblox++ - A volumetric object-level semantic mapping framework.' by ETHZ ASL GitHub: http://t.cn/AiBsPsuD paper:《Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery》
{Nieto}}, journal={IEEE Robotics and Automation Letters}, title={{Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery}}, year={2019}, volume={4}, number={3}, pages={3037-3044}, doi={10.1109/LRA.2019.2923960}, ISSN={2377-3766}, month={July}, } The original geometry-...
High-quality Instance-aware Semantic 3D Map Using RGB-D Camera 论文笔记 Elasticfusion作为backbone,对其损失函数进行了修改,并将深度学习中的分割和检测模型加入到RGBD-slam中,使得系统能够重建语义模型以及提供精确的语义地图 论文简介本文方法结合了SOTA的... po(It)。相机追踪和3D重投影使得每个面元的概率可以...
Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery [烂文预警,我现在觉得这文章写的很烂,细节语句不通,中心思想不够凝练;但是暂时没有时间修改,又卑微为了赞不舍的删掉,给因阅读本文而浪费生命的读者道一个歉] https://github.com/ethz-asl/voxblox-plusplusgithub.com/ethz-asl/voxblox-plu...
and the maps are also used as visual cues for weakly supervised semantic segmentation. Similarly, Zhou et al. [14] come up with a new idea for instance segmentation with only image-level class tags. They use locally class-aware peak response mapping (PRM) results as instance representations,...
Li S, Zhang C, He X (2020) Shape-aware semi-supervised 3D semantic segmentation for medical images. In: Medical image computing and computer assisted intervention – MICCAI 2020; Lecture Notes in Computer Science. pp 552–561 Li X, Yu L, Chen H, Fu CW, Xing L, Heng PA (2020) Transf...
We present detailed benchmarking of seven open-source and three commercial software implementations of marker-controlled watershed for semantic or instance segmentation. We compare those software packages for one synthetic and two natural volumetric images. The aim of the review is to provide information...