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Sun, X
Hu, J
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Authors
Li, T
Hu, J
Gao, L
Hu, H
Bai, X
Liu, X
Hu, J
Gao, L
Rai, N
Zhang, Y
Quanbeck, J
Christensen, A
Sun, X
Topics
Guidance, Robotics, Automation, and GPS Systems
Engineering Technologies and Advances
Big Data, Data Mining and Deep Learning
Type
Poster
Oral
Year
2012
2014
2022
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Filter results3 paper(s) found.

1. Research on Straight-Line Path Tracking Control Methods in an Agricultural Vehicle Navigation System

In the precision agriculture (PA), an agricultural vehicle navigation system is essential and precision of the vehicle path tracking is of great importance in such a system. As straight line operation is the main way of agricultural vehicles on large fields, this paper focuses on the discussion of straight-line path tracking control methods and proposes an agricultural vehicle path tracking algorithm based on the optimal control theory. First, the paper deduces a relative kinematics model of agricultural... T. Li, J. Hu, L. Gao, H. Hu, X. Bai, X. Liu

2. Angular Velocity Meter Application Study In The Agricultural Vehicle Navigation System

In the agricultural vehicle navigation system, most frequently used steering feedback sensors are rotary potentiometer and rotary encoder to measure the wheel angle, and linear potentiometer to measure the stretching length of steering cylinder. In practice, these sensors are usually installed a little troublesomely, and often have relatively low reliability because of the more installation fittings. With the progress of MEMS technical, angular velocity meter achieves higher accuracy while... J. Hu, L. Gao

3. Spotweeds: a Multiclass UASs Acquired Weed Image Dataset to Facilitate Site-specific Aerial Spraying Application Using Deep Learning

Unmanned aerial systems (UASs)-based spot spraying application is considered a boon in Precision Agriculture (PA). Because of spot spraying, the amount of herbicide usage has reduced significantly resulting in less water contamination or crop plant injury. In the last demi-decade, Deep Learning (DL) has displayed tremendous potential to accomplish the task of identifying weeds for spot spraying application. Also, most of the ground-based weed management technologies have relied on DL techniques... N. Rai, Y. Zhang, J. Quanbeck, A. Christensen, X. Sun