传感器输入交叉验证作为城市空中交通定位估计的一部分

Cross Validation of Sensor Inputs as Part of Position Estimation for Urban Air Mobility

打开原文

AI 导读

本文讨论了城市空中交通中传感器输入交叉验证的方法，特别是基于残差和分层专家混合模型的策略。该研究对提升定位系统的可靠性具有参考价值，有助于eVTOL行业在复杂环境中实现更精准的导航。依据来源摘要。

正文

以下展示完整原文，全文中文翻译尚未生成。

Document ID

20250011186

Acquisition Source

Ames Research Center

Document Type

Conference Paper

Authors

Thomas Lombaerts

(KBR Wyle)

Evan Kawamura

(Ames Research Center Mountain View, United States)

Keerthana Kannan

(KBR (United States) Houston, Texas, United States)

Corey Ippolito

(Ames Research Center Mountain View, United States)

Vahram Stepanyan

(KBR Wyle)

George Gorospe

(Ames Research Center Mountain View, United States)

Chester Dolph

(Langley Research Center Hampton, United States)

Date Acquired

December 9, 2025

Subject Category

Meeting Information

Meeting: AIAA SciTech Forum 2026

Location: Orlando

Country: US

Start Date: January 12, 2026

End Date: January 16, 2026

Sponsors: American Institute Aeronautics and Astronautics

Funding Number(s)

Distribution Limits

Public

Public Use Permitted.

Technical Review

Single Expert

Keywords