Drone-Based technologies used to assess modern farming practices in undergraduate research

Wilkerson, Stephen A.; Gadsden, S. Andrew; Cerreta, Joe; Al-Shabi, Mohammad

doi:10.1117/12.2519801

Cited by 5 publications

(5 citation statements)

References 7 publications

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“…e value of PBL in mechanical engineering projects has been demonstrated in many applications [15]. e value of PBL in engineering projects involving multidisciplinary applications has been shown in [16][17][18]. For this particular capstone, students were allowed to do their own research and come up with their own decisions with minimal oversight and guidance.…”

Section: Mechanical Designmentioning

confidence: 99%

A Multidisciplinary Capstone Design Project to Satisfy ABET Student Outcomes

Meah

Hake

Wilkerson

2020

Education Research International

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This paper presents a multidisciplinary open-ended capstone design project where students designed, built, and test drove a Formula Society of Automatic Engineers (FSAE) electric vehicle. The capstone team included students from computer, electrical, and mechanical engineering programs. Each student worked in on a subteam, namely, mechanical design, drivetrain, supervisory control and data acquisition, and battery management system. A thorough description of each subsystem is provided herein. Software architecture, system integration, and field test results are also reviewed. Team organization, faculty and industry involvement, and assessment of student outcomes are provided. This paper details the approach of building a bridge between academia and engineering practices. This paper also documents a process where undergraduate students research and master multiple technology areas and then apply them to the project’s focus. ABET student outcomes 1–7 were used to design and assess the course. Peer-to-peer rating and ranking are presented as an assessment tool for the multidisciplinary nature of the project.

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Section: Mechanical Designmentioning

confidence: 99%

A Multidisciplinary Capstone Design Project to Satisfy ABET Student Outcomes

Meah

Hake

Wilkerson

2020

Education Research International

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“…In this ever-changing environment of the autonomous system, one facet that occupies a front and center place is the quest for the improved navigation system [1][2][3][4][5][6][7]. In addition, a wide spectrum of applications that rely on autonomous navigation, such as underwater exploration, unoccupied aerial vehicles, and autonomous cars, demonstrates the vulnerability of current technology .…”

Section: Introductionmentioning

confidence: 99%

Enhancing autonomous navigation: acoustic tomography through synthetic data modeling

Obaideen,

Faroukh,

AlShabi

2024

Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2024

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This paper tackles the new utilization of acoustic tomography and synthetic data modeling to improve autonomous navigation systems, especially in environments where traditional navigation tools, such as GPS, are either restricted or absent. Thus, acoustic tomography, based on sound waves, as well as synthetic data modeling which creates unrealized but realistic navigation scenarios, seems to be a very useful way of enhancing accessible navigation in terms of reliability, precision, and adaptability. This research via a comprehensive literature review, review, and synthesis of current research articulates the promise of these technologies to transform navigation systems. It focuses on the approach in the integration of acoustic sensing with computational models in developing the system autonomy, covering the technological advancements and the problems. Besides, implications of the research to the whole range of applications from underwater exploration to urban autonomous vehicles specify the requirement of innovation and exploration development in this sphere. By providing a broad review and evaluation of the interactions of acoustic tomography with synthetic data modeling, this paper seeks to promote progress in autonomous navigation technologies, laying the groundwork for the future studies and engineering work in navigation through the world's most difficult environments.

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“…Traditional path planning methods mainly face an optimization task of path length and computational efficiency in dynamic and unpredictable terrains . In the multitude of algorithms proposed for path planning, bio-inspired algorithms are a powerful solution since they are flexible, scalable, and capable of finding global optima in multi-dimensional spaces [67][68][69][70][71][72][73][74][75][76][77][78]. For example, the Salp Swarm Algorithm (SSA), which is based on the swarming behavior of salps in the ocean, is one of the new bio-inspired optimization techniques that have demonstrated potential in different optimization problems [79][80][81][82][83].…”

Section: Introductionmentioning

confidence: 99%

Path planning for a UGV using Salp Swarm Algorithm

AlShabi,

Ballous,

Bou Nassif

et al. 2024

Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2024

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The paper researches a utilization of the Salp Swarm Algorithm (SSA), a bio-mimetic optimization technique, to improve path planning in Unmanned Ground Vehicles (UGVs). Because of the crucial role of the efficient and reliable path planning in the implementation of UGVs in such sectors as military, rescue operations, and agriculture, there is a need for algorithms that are capable of navigating complex environments. The concept of SSA, based on the natural swarming behavior of salps, represents a very promising approach that is characterized by the exploration and exploitation properties of the algorithm. This study evaluates the performance of the SSA relative to existing particle swarm optimization (PSO), in terms of path optimality, computational efficiency, and dynamic obstacle adaptability, through a number of simulated environments. Results show that the SSA has the potential to compete with the traditional algorithms in path efficiency and computational load. However, PSO shows slight superiority results compared to SSA. This study highlights the potency of bio-inspired algorithms, specifically the SSA, in enhancing the field of autonomous navigation for UGVs. It introduces new possibilities of practical application of SSA in real-life scenarios, demonstrating its scalability and resilience. The findings of this study make a contribution to the general discussion on the improvement of planning of autonomous routes and provide a possible way for more sustainable and effective UGV activities.

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Drone-Based technologies used to assess modern farming practices in undergraduate research

Cited by 5 publications

References 7 publications

A Multidisciplinary Capstone Design Project to Satisfy ABET Student Outcomes

A Multidisciplinary Capstone Design Project to Satisfy ABET Student Outcomes

Enhancing autonomous navigation: acoustic tomography through synthetic data modeling

Path planning for a UGV using Salp Swarm Algorithm

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