Tracing algorithm and control strategy for crawler rice combine harvester auxiliary navigation system

Guan, Zhuohuai; Liu, Ying; Mu, Shenglin; Zhang, Min; Jiang, Tao; Li, Haitong; Wang, Gang; Wu, Chongyou

doi:10.1016/j.biosystemseng.2021.08.034

Cited by 17 publications

(7 citation statements)

References 19 publications

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“…The biggest problem with SORT tracking is that it does not do anything with the content of the occluded object and matches the distance between boxes [24][25]. This assumes that if the target encounters occlusion on the way of tracking, then the tracker will consider the target detected here as a new target, thus assigning a new tracker, making its tracking disconnected from the middle.…”

Section: Deepsortmentioning

confidence: 99%

Research on the Application of Traditional Sports Culture in College Physical Education Teaching under the Background of Deep Learning

Meng,

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, the transformer target detection algorithm is established by combining deep learning technology, and the Deep algorithm is added on the basis of SORT to optimize and improve SORT and overcome the problems of SORT. After the DeepSORT model is constructed, YOLOv5 is introduced into the model, and finally, the YOLOv5-DeepSORT model for sports element detection and tracking is constructed and completed. The ATT-BERT sports culture element entity recognition model is constructed from four levels: the BERT layer, the BiLSTM layer, the attention layer, and the CRF layer, which results in an application framework for the integration of traditional sports culture into teaching. The influence factors of sports culture perception and sports teaching, as well as the integration of traditional ethnic sports culture into sports teaching in Z, were empirically examined. The study shows that the correlation coefficient between the two is around 0.465, and there is a positive and strong correlation between the two. The correlation coefficients of the dimensions for physical education students and non-physical education students were 0.513, 0.483, 0.485, and 0.462, respectively. The most common teaching methods used by teachers in physical education classrooms integrating traditional sports culture were explanation, demonstration, and complete decomposition, with ratios of 0.78 and 0.7, respectively. The integration of sports culture into physical education has resulted in good results. The outcome was satisfactory.

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Section: Deepsortmentioning

confidence: 99%

Research on the Application of Traditional Sports Culture in College Physical Education Teaching under the Background of Deep Learning

Meng,

2023

Applied Mathematics and Nonlinear Sciences

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“…cement ground and sand ground) and 0.3-0.6 on soft ground. This may be interpreted as follows: (1) the friction coefficient between tracked vehicles and soft ground is smaller than that on hard ground; (2) Relative movement occurs among particles in the soil. Fig.…”

Section: B Influence Of Different Ground Conditions On the Slip Coeff...mentioning

confidence: 99%

“…In the steering process of tracked vehicles, the vehicle track is constantly accompanied by slippage relative to the ground. This phenomenon, which reduces the maneuverability of tracked vehicles compared to the theoretical maneuverability, can be classified by different degrees of slip and track skids on both sides under different ground conditions [1]- [5]. Studies show that excessive slippage coefficient directly affects the safety, steering stability, and operating efficiency of tracked vehicles [6]- [9].…”

Section: Introductionmentioning

confidence: 99%

A New Model to Predict the Slippage Coefficient of Tracked Vehicles During Steering

Zhao

Wang

et al. 2022

IEEE Access

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Tracked vehicles during steering are always subjected to track slippage relative to the ground. Studies show that an excessive slippage coefficient reduces the steering ability of tracked vehicles and increases the risk of soil shear failure. Accordingly, fast and accurate tests of the slippage coefficient of tracked vehicles under different ground conditions can be effectively referenced to select track parameters and reach optimal operation. Aiming to resolve shortcomings of the conventional testing method in determining the slippage coefficient of tracked vehicles, a novel method is proposed in the present study. Then the trajectory of an arbitrary point on the tracked vehicle during steering was analyzed. Moreover, the time of vehicles steering around and the speed of track sprocket were measured, and the slippage coefficient of tracked vehicles steering on the specific ground condition was determined. Meanwhile, the slippage coefficient of the tracked combined harvester steering under different ground conditions was explored using the conventional method. The obtained results were compared quantitatively, and the accuracy of the established model was verified. The performed analyses demonstrate that the proposed method has a simple structure and can be effectively applied to various complicated working conditions. This method is expected to lay a theoretical basis to establish an online testing system for the slippage coefficient of tracked vehicles during steering.

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“…Fuzzy control can translate operator experience into automatic control principles (Kumar et al, 2011), which make it widely used for path-tracking. Guan et al (2021) designed a fuzzy controller for the hydraulic steering mechanism of a tracked combine harvester based on its kinematic model. Youb et al (2018) proposed an adaptive fuzzy controller based on Lyapunov stability theory.…”

Section: Introductionmentioning

confidence: 99%

Research on unmanned electric shovel autonomous driving path tracking control based on improved pure tracking and fuzzy control

Wang

et al. 2023

Journal of Field Robotics

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This paper proposes a path tracking control method combining pure tracking algorithms and self‐adaptive fuzzy control for autonomous driving of an unmanned electric shovel. An improved pure tracking controller was designed based on the kinematic model of heavy crawler taking both the value of deviation and its variation as inputs with the crawler speed on each side as output. The proposed controller and MPC algorithm were simulated using MATLAB for comparison. The results show that the proposed controller has more anthropomorphic characteristics than the MPC method. To verify the actual control effect of the controller, experiments were carried out using a prototype electric shovel for different working conditions. The experimental results proved that the controller is able to meet the control requirements for unmanned electric shovel path tracking.

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Tracing algorithm and control strategy for crawler rice combine harvester auxiliary navigation system

Cited by 17 publications

References 19 publications

Research on the Application of Traditional Sports Culture in College Physical Education Teaching under the Background of Deep Learning

Research on the Application of Traditional Sports Culture in College Physical Education Teaching under the Background of Deep Learning

A New Model to Predict the Slippage Coefficient of Tracked Vehicles During Steering

Research on unmanned electric shovel autonomous driving path tracking control based on improved pure tracking and fuzzy control

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