Artifacts Mapping: Multi-Modal Semantic Mapping for Object Detection and 3D Localization-Reference-Cited by-同舟云学术

Artifacts Mapping: Multi-Modal Semantic Mapping for Object Detection and 3D Localization

Published:2023-09-04 Issue: Volume: Page:
ISSN:
Container-title:2023 European Conference on Mobile Robots (ECMR)
language:
Short-container-title:

Author:

Rollo Federico¹,Raiola Gennaro¹,Zunino Andrea¹,Tsagarakis Nikolaos²,Ajoudani Arash²

Affiliation:

1. Intelligent and Autonomous Systems, Leonardo Labs,Genoa,Italy

2. HHCM & HRII, Istituto Italiano di Tecnologia,Genoa,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10256258/10256267/10256373.pdf?arnumber=10256373

Reference37 articles.

1. When 2.5 d is not enough: Simultaneous reconstruction, segmentation and recognition on dense slam;tateno;2016 IEEE International Conference on Robotics and Automation (ICRA),0

2. Wolf: the whole-body locomotion framework for quadruped robots;raiola;ArXiv Preprint,2022

3. Monocular SLAM Supported Object Recognition

4. Yolact++: Better real-time instance segmentation;bolya;IEEE Transactions on Pattern Analysis and Machine Intelligence,2020

5. KinectFusion: Real-time dense surface mapping and tracking

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-modal Channel-attention for Vehicle RGB Image Reconstruction;2024 International Conference on Cloud and Network Computing (ICCNC);2024-05-31

2. 3D Object Detection Using Semantic Maps;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

3. Design of Lidar SLAM Perception and Localization Algorithm for Underground Roadway Inspection Vehicles in Coal Mines;Proceedings of the 2024 3rd International Symposium on Control Engineering and Robotics;2024-05-24