文章《Multi-modal Semantic SLAM for Complex Dynamic Environments》提出了一个鲁棒的多模态语义框架去解决slam在复杂和动态环境下的问题。同时该论文也在Github中开源了数据集和代码。 1. 文章贡献 文中提到,为了减小深度学习分割结果不完整所带来的差异性,文中建议学习更强大的对...
主要做的是语义信息融合辅助slam的工作,代码已开源:GitHub - wh200720041/MMS_SLAM,但是感觉这版的论文缺少了很多细节,尤其是实验部分,感觉很突兀,估计作者没放出全部的数据结果。 Motivation: 静态环境的假设在大多数 SLAM 算法中很常见,但是对于大多数应用程序来说并非如此。虽然可以通过语义适应动态环境,但是语义分...
A visual SLAM-based lightweight multi-modal semantic framework for an intelligent substation robot Visual simultaneous localisation and mapping (vSLAM) has shown considerable promise in positioning and navigating across a variety of indoor and outdoor se... S Li,J Gu,Z Li,... - 《Robotica》 被...
Despite advancements in mitigating the influence of dynamic objects through the integration of geometric and semantic information, existing approaches have struggled to strike an equilibrium between performance and real-time responsiveness. This study introduces a lightweight, multi-modal se...
Generative Zero-Shot Learning (ZSL) methods generally generate pseudo-samples/features based on the semantic description information of unseen classes, the... W Cao,Y Wu,C Huang,... - 《Neurocomputing》 被引量: 0发表: 2022年 SpineDepth: A Multi-Modal Data Collection Approach for Automatic La...
Semantic image synthesis with spatially-adaptive normalization. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019. 2337--2346. Google Scholar [29] Deena S, Galata A. Speech-driven facial animation using a shared gaussian process latent variable model. In: ...
3D-LLM(3D Large Language Models):这是将3D表示和LLMs结合起来解决3D视觉-语言任务的初步尝试。3D-LLM通过额外的深度图、SLAM或NeRF模型从2D图像中提取3D表示。 这些相关研究构成了论文研究的背景和基础,论文提出的Uni3DR2框架在这些领域的研究之上,旨在改进3D场景的表示和重建,以提高LLMs在3D环境中的性能。
Then, we used multi-headed self-attention to obtain the attention degree of different modal features of entities in the process of semantic synthesis. In this manner, we learned the multi-modal feature representation of entities. New knowledge representation is the sum of traditional knowledge ...
The content of our dataset consists in multiple synchronized modalities providing data for positioning tasks such as SLAM or visual odometry as well as for pure computer vision tasks such as depth esti- mation or semantic segmentation. While being specif...
VSO:Visual Semantic Odometry(ECCV 2018) VSO:Visual Semantic Odometry(ECCV 2018) 推荐另外三篇视觉语义里程计论文: . 《Probabilistic Data Association for Semantic SLAM》 ICRA 2017 宾夕法尼亚大学 . 《Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Au......