Vehicle localization by dynamic programming from altitude and yaw rate time series acquired by MEMS sensor-Reference-Cited by-同舟云学术

Vehicle localization by dynamic programming from altitude and yaw rate time series acquired by MEMS sensor

Published:2021-01-01 Issue:1 Volume:14 Page:78-88
ISSN:1882-4889
Container-title:SICE Journal of Control, Measurement, and System Integration
language:en
Short-container-title:SICE Journal of Control, Measurement, and System Integration

Author:

Yokota Takayoshi¹^ORCID

Affiliation:

1. Department of Information and Electronics, Graduate School of Engineering, Tottori University, Tottori, Japan

Funder

Japan Society for the Promotion of Science(JSPS) KAKENHI

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/18824889.2021.1906018

Reference17 articles.

1. Localization Algorithm Based on Altitude Time Series in GNSS-Denied Environment

2. Fast and robust map‐matching algorithm based on a global measure and dynamic programming for sparse probe data

3. Vehicle localization using its vibration caused by road surface roughness

4. Tsurushiro J, Nagaosa T, Mizui K. A study of vehicle localization based on road surface roughness using sensor data in a smart phone. 2017 Feb. p. 57–62. (IEICE technical report; ITS2016-86).

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