Slippage Estimation via Few-Shot Learning Based on Wheel-Ruts Images for Wheeled Robots on Loose Soil-Reference-Cited by-同舟云学术

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Slippage Estimation via Few-Shot Learning Based on Wheel-Ruts Images for Wheeled Robots on Loose Soil

Published:2024-07 Issue:7 Volume:25 Page:6555-6566
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Chen Chao¹^ORCID,Su Shibin²,Shu Minglei¹^ORCID,Di Chong¹,Li Weihua³^ORCID,Xu Pengyao¹,Guo Junlong⁴^ORCID,Wang Ruotong¹^ORCID,Wang Yinglong¹^ORCID

Affiliation:

1. Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

2. Hisense TransTech Company Ltd., Qingdao, China

3. School of Automotive Engineering, Harbin Institute of Technology (Weihai), Weihai, China

4. State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China

Funder

National Natural Science Foundation of China

Shandong Provincial Natural Science Foundation Project

Taishan Scholars Program: Distinguished Taishan Scholars in Climbing Plan

Young Taishan Scholars

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10582787/10379523.pdf?arnumber=10379523

Reference51 articles.

1. Slip-Based Autonomous ZUPT Through Gaussian Process to Improve Planetary Rover Localization

2. Kinematics-Based Simulation and Animation of Articulated Rovers Traversing Uneven Terrains

3. Torque Vectoring and Rear-Wheel-Steering Control for Vehicle's Uncertain Slips on Soft and Slope Terrain Using Sliding Mode Algorithm

4. Traction Control based on Slip Ratio Estimation Without Detecting Vehicle Speed for Electric Vehicle

5. Estimation of slip ratio and road characteristics by adding perturbation to the input torque

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