Point-State Segmentation for Dynamic Scenes via Probability Model and Orientation Consistency-Reference-Cited by-同舟云学术

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Point-State Segmentation for Dynamic Scenes via Probability Model and Orientation Consistency

Published:2024-06 Issue:6 Volume:20 Page:8428-8440
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Wei Hongyu¹^ORCID,Zhang Tao²^ORCID,Zhang Liang²^ORCID,Zhong Lingtong²^ORCID

Affiliation:

1. School of Future Technology, Shanghai University, Shanghai, China

2. School of Instrument Science and Engineering, the Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, Southeast University, Nanjing, China

Funder

Fundamental Research Funds for the Central Universities

Foundation of Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9424/10550081/10472086.pdf?arnumber=10472086

Reference30 articles.

1. Design a Novel Target to Improve Positioning Accuracy of Autonomous Vehicular Navigation System in GPS Denied Environments

2. A Novel Visual Measurement Framework for Land Vehicle Positioning Based on Multimodule Cascaded Deep Neural Network

3. Simultaneous localization and mapping: part I

4. Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

5. VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator

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