High Fidelity IMU and Wheel Encoder Models for ROS Based AGV Simulations-Reference-Cited by-同舟云学术

High Fidelity IMU and Wheel Encoder Models for ROS Based AGV Simulations

Published:2023 Issue: Volume: Page:227-240
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
language:
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Author:

Ozdemir Emre,Gokoglu Hakan,Yilmaz M. Koray,Dumandag Umut,Savci Ismail Hakki,Bayram Haluk

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-09062-2_7

Reference17 articles.

1. Amirsadri, A., Kim, J., Petersson, L., Trumpf, J.: Practical considerations in precise calibration of a low-cost mems imu for road-mapping applications. In: American Control Conference (ACC), pp. 881–888 (2012)

2. Barreda Pupo, L.: Characterization of errors and noises in MEMS inertial sensors using Allan variance method. Master’s Thesis, Universitat Politècnica de Catalunya (2016)

3. Bayram, H.: High Fidelity Sensor Models (2021). https://github.com/hlkbyrm/HighFidelitySensorModels

4. Bayram, H.: The modified version of DiffDrivePlugin (2021). https://github.com/hlkbyrm/HighFidelitySensorModels/blob/main/turtlebot3_highfidelityWheelEncoderIMU/plugins/noisy_diff_drive.cpp

5. Bayram, H.: The modified version of Gazebo IMU Sensor plugin (2021). https://github.com/hlkbyrm/HighFidelitySensorModels/tree/main/turtlebot3_highfidelityWheelEncoderIMU/plugins

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