Uncertainty-Aware Lidar Place Recognition in Novel Environments-Reference-Cited by-同舟云学术

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Uncertainty-Aware Lidar Place Recognition in Novel Environments

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

Author:

Mason Keita¹,Knights Joshua¹,Ramezani Milad¹,Moghadam Peyman¹,Miller Dimity²

Affiliation:

1. Robotics and Autonomous Systems, DATA61, CSIRO,Brisbane,QLD,Australia,4069

2. School of Electrical Engineering, Queensland University of Technology (QUT),Brisbane,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341383.pdf?arnumber=10341383

Reference42 articles.

1. PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition

2. PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval

3. LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis

4. MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

5. LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition

Cited by 2 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. GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors;IEEE Robotics and Automation Letters;2024-01

2. Understanding the Effect of Deep Ensembles in LiDAR-Based Place Recognition;AIxIA 2023 – Advances in Artificial Intelligence;2023

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