Global dynamic path‐planning algorithm in gravity‐aided inertial navigation system
Abstract Signals from gyros and accelerometers in an inertial navigation system (INS) can be processed to obtain navigation information while its errors accumulate with time. A path with long‐term characteristics is more likely to encounter unpredictable dynamic conditions. To deal with such problem...
Saved in:
Main Authors: | Shengwu Zhao, Lei Shi, Wenzhe Zhang, Zhihong Deng |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-10-01
|
Series: | IET Signal Processing |
Subjects: | |
Online Access: | https://doi.org/10.1049/sil2.12056 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Memory-driven deep-reinforcement learning for autonomous robot navigation in partially observable environments
by: Estrella Montero, et al.
Published: (2025-02-01) -
An Improved Unscented Kalman Filter Applied to Positioning and Navigation of Autonomous Underwater Vehicles
by: Jinchao Zhao, et al.
Published: (2025-01-01) -
Maritime Autonomous Surface Ships: Architecture for Autonomous Navigation Systems
by: Anas S. Alamoush, et al.
Published: (2025-01-01) -
Fuzzy Inference-Based Adaptive Sonar Control for Collision Avoidance in Autonomous Underwater Vehicles
by: Kot Rafał
Published: (2024-12-01) -
A Fuzzy Control Strategy for Multi-Goal Autonomous Robot Navigation
by: Stavros Stavrinidis, et al.
Published: (2025-01-01)