Constructing Metric-Semantic Maps Using Floor Plan Priors for Long-Term Indoor Localization-Reference-Cited by-同舟云学术

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Constructing Metric-Semantic Maps Using Floor Plan Priors for Long-Term Indoor Localization

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Zimmerman Nicky¹,Sodano Matteo¹,Marks Elias¹,Behley Jens¹,Stachniss Cyrill²

Affiliation:

1. University of Bonn,Germany

2. University of Oxford,Department of Engineering Science at the,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341595.pdf?arnumber=10341595

Reference38 articles.

1. Localization from semantic observations via the matrix permanent

2. Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild

3. Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

4. Monte-Carlo Localization in Underground Parking Lots using Parking Slot Numbers

5. Monte Carlo localization for mobile robots

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. Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a Nano-UAV using Floor Plans;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Flexible and Fully Quantized Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems;IEEE Access;2024

3. CID-SIMS: Complex indoor dataset with semantic information and multi-sensor data from a ground wheeled robot viewpoint;The International Journal of Robotics Research;2023-12-21

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