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...
Main Authors: | Shengwu Zhao, Lei Shi, Wenzhe Zhang, Zhihong Deng |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-IET
2021-10-01
|
Series: | IET Signal Processing |
Subjects: | |
Online Access: | https://doi.org/10.1049/sil2.12056 |
Similar Items
-
DVL Velocity Aiding in the HUGIN 1000 Integrated Inertial Navigation System
by: Bjørn Jalving, et al.
Published: (2004-10-01) -
An Optimal and Energy Efficient Multi-Sensor Collision-Free Path Planning Algorithm for a Mobile Robot in Dynamic Environments
by: Abrar Alajlan, et al.
Published: (2017-03-01) -
Path Planning Method for Underwater Gravity-Aided Inertial Navigation Based on PCRB
by: Bo Wang, et al.
Published: (2023-05-01) -
Adaptive Step Size Learning With Applications to Velocity Aided Inertial Navigation System
by: Barak Or, et al.
Published: (2022-01-01) -
Review of Collision Avoidance and Path Planning Algorithms Used in Autonomous Underwater Vehicles
by: Rafał Kot
Published: (2022-07-01)