Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Shunbo Zhou"'
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3113 (2024)
We investigate the underwater acoustic scattering from various distributed “ice balls” floating on the water, aiming to understand acoustic scattering in the marginal ice zone (MIZ). The MIZ, including a wide range of heterogeneous ice cover, sig
Externí odkaz:
https://doaj.org/article/095c6594d49e494c81fbaa92c3c581e3
Autor:
Xianyu Wang, Yuhan Zhang, Weihua He, Yaoyuan Wang, Minglei Li, Yuchen Wang, Jingyi Zhang, Shunbo Zhou, Ziyang Zhang
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
IEEE Transactions on Control Systems Technology. 30:598-610
Most of the previously proposed vehicle controllers are developed with the no-skid assumption, also presume that full states of the vehicle are available, which are usually violated for industrial tractors. This article dedicates to building a practi
Publikováno v:
IEEE Robotics and Automation Letters. 6:4480-4487
This letter presents a practical method for parameter estimation of a full-size industrial car-like tractor. With only on-vehicle sensors including three encoders, an IMU and a 3D LiDAR, we estimate the effective radius of rear wheels, ratio between
Publikováno v:
IEEE/ASME Transactions on Mechatronics. 26:1467-1478
Automated driving of a heavy tractor–trailers vehicle using only low-cost onboard sensors is challenging. Complex system dynamics and towing configuration changes degrade the performance of conventional model-based estimation and control methods. I
Publikováno v:
IEEE/ASME Transactions on Mechatronics. 26:645-656
This article presents the dynamic modeling and trajectory tracking control of the industrial tractor–trailers vehicle composed of a full-size car-like tractor and multiple full trailers. To eliminate the high uncertainty of the kinematic and dynami
Autor:
Haoang Li, Yun-Hui Liu, Yueling Shen, Shunbo Zhou, Zhe Liu, Huanshu Wei, Xinwu Liang, Chuanzhe Suo, Yingtian Liu, Zhijian Qiao, Hesheng Wang
Publikováno v:
IEEE Robotics & Automation Magazine. 27:139-150
Vehicles capable of delivering heavy cargoes are a major means for the promotion of social productivity and are widely applied in industry. Even though self-driving technologies have been studied for a few decades and several successful applications
Publikováno v:
IEEE Robotics and Automation Letters. 5:500-507
This letter reports a general path following framework for the tractor-trailers system in Global Positioning System (GPS)-denied environments. Compared to existing methods, this approach prioritizes a robust, cost-optimized, and easy-to-implement sol
Publikováno v:
ICRA
This paper presents a comprehensive inertial aided 3D LiDAR SLAM system with hybrid geometric primitives in large-scale environments, including a tightly-coupled LiDAR-Inertial-Odometry (LIO), a global mapping module supported by learning-based loop
Publikováno v:
IROS
In this paper, we propose a dynamic state estimation framework for lateral control of a heavy tractor-trailers system using only mass-produced low-cost sensors. This issue is challenging since the lateral velocity of the lead tractor is difficult to