• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.532-535
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• 2022

Path following algorithms have been intensively studied for various mobile platforms such as planetary exploration, unmanned delivery, and autonomous driving. However, ensuring high accuracy in practical applications is challenging due to enormous uncertainty inherent in real environment. In this paper, we aim to reveal the guideline for the design and implementation by investigating the path following performance of mobile robot controlled by the pure pursuit algorithm. To this end, we evaluate the accuracy of the pure pursuit algorithm when tuning the look ahead distance and deploying erroneous actuator.

• Journal of Ocean Engineering and Technology
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• v.30 no.1
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• pp.32-43
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• 2016

A UUV needs to have a robust path following performance because of unpredicted current disturbances. Because the desired path of a UUV is usually designed by considering the locations of obstacles or geographical features of the operation region, the UUV should stay on the desired path to avoid damage or loss of the vehicle. However, conventional path following methods cannot deal with strong countercurrent disturbances. Thus, the UUV may deviate from the desired path. In order to avoid such deviation, a backward path following method is suggested. This paper proposes a path following method that combines pure pursuit guidance and nonlinear guidance for the UUV under an unpredicted strong ocean current. For a stable path following system, this paper suggests that the UUV adjust its heading to the current direction using the pure pursuit guidance method when the system is in an unstable region, or the UUV follows the desired path with nonlinear guidance. By combining the pure pursuit guidance and nonlinear guidance, it was possible to overcome the drawbacks of each path following method in the reverse path following case. The efficiency of the proposed method is shown through simulation results compared to those of the pure pursuit method and nonlinear guidance method.

• The Journal of Korea Robotics Society
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• v.18 no.3
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• pp.251-259
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• 2023

In the path traveling of differential-drive robots, the steering controller plays an important role in determining the path-following performance. When a robot with a pure-pursuit algorithm is used to continuously drive a right-angled driving path in an unstructured environment without turning in place, the robot cannot accurately follow the right-angled path and stops driving due to the ground and motor load caused by turning. In the case of pure-pursuit, only the current robot position and the steering angle to the current target path point are generated, and the steering component does not reflect the speed plan, which requires improvement for precise path following. In this study, we propose a driving algorithm for differentially driven robots that enables precise path following by planning the driving speed using the radius of curvature and fusing the planned speed with the steering angle of the existing pure-pursuit controller, similar to the Model Predict Control control that reflects speed planning. When speed planning is applied, the robot slows down before entering a right-angle path and returns to the input speed when leaving the right-angle path. The pure-pursuit controller then fuses the steering angle calculated at each path point with the accelerated and decelerated velocity to achieve more precise following of the orthogonal path.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.2
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• pp.1-15
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• 2021

The purposes of this study was to investigate the effects of materialism value on the clothing shopping orientation and impulse buying behaviors of Chinese female consumers. The subjects were 417 female millennials in Gillim-province, China. The research method was a survey, and the questionnaire consisted of questions to ascertain materialism value, clothing shopping orientation, impulse buying behaviors, and the subjects' demographic characteristics. For data analysis, descriptive statistics, Cronbach's α, factor analysis, and regression analysis were performed. The results of this study were as follows: First, materialism value was derived with 3 factors (happiness pursuit, possession-oriented, and success judgement). Second, the clothing shopping orientation was derived with 5 factors (trend pursuit, pleasure pursuit, brand pursuit, economic pursuit, and convenience pursuit). Third, the impulse buying behavior was derived with 4 factors (pure, planned, reminder, and implicit impulse buying). Forth, materialism value had significant effects on clothing shopping orientation. The higher the value of materialism, the more the brand pursuit, pleasure pursuit, and trend pursuit shopping orientation increased, while the economic pursuit and convenience pursuit shopping orientation decreased. Fifth, materialism value had significant effect on pure and planned impulse buying behaviors. As the value of materialism increased, pure and planned impulsive buying behaviors increased. This study suggested that materialism value is an effective variable to understand the clothing shopping orientation and clothing impulse buying behavior.

• Journal of Drive and Control
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• v.17 no.4
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• pp.80-86
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• 2020

Autonomous driving is one of the most important new technologies of our time; it has benefits in terms of safety, the environment, and economic issues. Path following algorithms, such as automated lane keeping systems (ALKSs), are key level 3 or higher functions of autonomous driving. Pure-Pursuit and Stanley controllers are widely used because of their good path tracking performance and simplicity. However, with the Pure-Pursuit controller, corner cutting behavior occurs on curved roads, and the Stanley controller has a risk of divergence depending on the response of the steering system. In this study, we use the advantages of each controller to propose a hybrid control strategy that can be stably applied to complex driving environments. The weight of each controller is determined from the global and local curvature indexes calculated from HD map information and the current driving speed. Our experimental results demonstrate the ability of the hybrid controller, which had a cross-track error of under 0.1 m in a virtual environment that simulates K-City, with complex driving environments such as urban areas, community roads, and high-speed driving roads.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.691-692
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• 2013

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.12
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• pp.1253-1259
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• 2008

This paper presents a landing controller and guidance law for net-recovery of fixed-wing unmanned aerial vehicles. A linear quadratic controller was designed using the system identification result of the unmanned aerial vehicle. A pursuit guidance law is applied to guide the vehicle to a recovery net with imaginary landing points on the desired approach path. The landing performance of a pure pursuit guidance, a constant pseudo pursuit guidance, and a variable pseudo pursuit guidance is compared. Numerical simulation using an unmanned aerial vehicle model was performed to verify the performance of the proposed landing guidance law.

• The Research Journal of the Costume Culture
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• v.6 no.4
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• pp.104-119
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• 1998

The purpose of this research were to classify college women's clothing shopping orientation and analyze the predictable variables of impulse buying. The results of this research were as follows ; 1. Clothing shopping orientation was classified leisure pursuit, economic, careful and name brand preferring shopping. With reference to leisure pursuit and economic shopping, they were classified into four types, low shopping involved shopping type, economic shopping type, leisure pursuit shopping type, and high shopping involved shopping type. The low shopping-involved and the economic shopping types made much of planned buying. The planned impulse buying, reminder impulse buying, fashion oriented impulse buying and pure impulse buying were highly evaluated in the high-involved and the leisure pursuit shopping types. 3. The high shopping-involved and leisure pursuit shopping types were more likely to do impulse buying than low shopping-involved and the economic shopping types. 4. The most important factor for the four groups was design. Quality, color, utility were followed by design. 5. Impulse buying behaviors of four groups could be predicted by the information source and the marketing stimulus buying.

• International Journal of Aeronautical and Space Sciences
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• v.7 no.2
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• pp.145-154
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• 2006

Many kinds of unmanned aerial vehicles (UAVs) have been developed for a few decades and some of them are now in operational use. Although each UAV as well as a piloted aircraft might have restrictions to execute some tasks simultaneously or to carry some payloads, one with an automatic chase aircraft might have the potential of multi-capabilities to conduct a variety of missions or to carry more storages. This paper introduces a chase UAV control system to enhance a leader (reference) aircraft capability which has storage restriction. The automatic chase guidance and control system will be introduced with the pure pursuit guidance law combined with relative velocity error corrections, and a dynamic inversion technique in order to generate the guidance forces.

• Ocean and Polar Research
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• v.36 no.4
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• pp.465-473
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• 2014

This paper proposes a formation control method by which multi-mining robots maintain a specified formation and follow a path. To secure the path tracking performance, a pure-pursuit algorithm is considered for each individual robot, and to minimize the deviation from the reference path, speed reduction in the steering motion is added. For the formation, in which two robots are parallel in a lateral direction, the robots track the specified path at a constant distance. In this way, the Leader-Follower method is adopted and the following robot knows the position and heading angle of the leader robot. Through the experimental test using two ground vehicle models, the performance is verified.