Sensors applied to automated guided vehicle position control: a systematic literature review

Reis, Wallace Pereira Neves dos; Morandin, Orides

doi:10.1007/s00170-020-06577-z

Cited by 28 publications

(9 citation statements)

References 39 publications

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“…A Laser Guided Navigation (LGV), is a technique that navigates AGV include positioning and movement using laser technology [40]. Nowadays, because of its dependability and accuracy, laser navigation is one of the most widely used in navigation systems [41].…”

Section: ) Laser Guidedmentioning

confidence: 99%

A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding

2023

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Automated Guided Vehicle (AGV) have received a lot of attention in recent years in terms of both hardware and software research. Nowadays, the AGV offer more adaptable and effective industrial and transportation system solutions. An AGV navigation techniques is essential to its operation. The decision to use AGV navigation is not simple, though to be suite to the application and sufficient. This paper survey the navigation approaches applied in AGV in the past five years of published academic research. In doing so, this work responds to three related questions: (1) is the AGV classical navigation techniques still relevant to the current application area; (2) is the heuristic navigation techniques itself able to optimize AGV movement in term of guide and strategy; (3) is the use of Artificial Intelligence (AI) in AGV navigation techniques able to increase system performance. As a result, numerous techniques for the AGV navigation have been developed globally. On the other hand, the most popular navigation approaches are provided below for more research.

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Section: ) Laser Guidedmentioning

confidence: 99%

A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding

2023

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“…where σ 1 • • • σ n represent the singular values of W px , the columns of matrix U are the eigenvectors of W px W px T , and the columns of matrix V are the eigenvectors of W px T W px . Then, the rotation matrix R and translation matrix t can be obtained by Equation (5).…”

Section: Traditional Icp Algorithmmentioning

confidence: 99%

“…The limitations of the visual systems are mainly related to the calculation cost and light and imaging conditions (i.e., direct sunlight, shadows, image blur, image scale changes, etc.). They are more easily affected by hardware and environment [5]. Besides, other technologies such as inertial navigation system (INS) [6], ultra wide band (UWB) [7] and radio frequency identification (RFID) [8] are also applied to AGV positioning but they also have limitations.…”

Section: Introductionmentioning

confidence: 99%

LiDAR Positioning Algorithm Based on ICP and Artificial Landmarks Assistance

Zeng

Kan

Tao

et al. 2021

Sensors

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As one of the automated guided vehicle (AGV) positioning methods, the LiDAR positioning method, based on artificial landmarks, has been widely used in warehousing logistics industries in recent years. However, the traditional LiDAR positioning method based on artificial landmarks mainly depends on the three-point positioning method, the performance of which is limited due to landmarks’ layout and detection requirements. This paper proposes a LiDAR positioning algorithm based on iterative closest point (ICP) and artificial landmarks assistance. It provides improvements based on the traditional ICP algorithm. The result of positioning provided by the landmarks is used as the initial iteration ICP value. The combination of the ICP algorithm and landmarks enables the positioning algorithm to maintain a certain positioning precision when landmark detection is disturbed. By comparing the proposed algorithm with the positioning scheme developed by SICK in Germany, we prove that the combination of the ICP algorithm and landmarks can effectively improve the robustness under the premise of ensuring precision.

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“…Therefore, we will not cover all vision-guided vehicle research, but we will discuss multispectral pedestrian detection datasets, algorithms, and indoor applications. For an overview of vision-guided vehicles, please refer to the survey papers [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Multispectral Benchmark Dataset and Baseline for Forklift Collision Avoidance

Kim

et al. 2022

Sensors

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In this paper, multispectral pedestrian detection is mainly discussed, which can contribute to assigning human-aware properties to automated forklifts to prevent accidents, such as collisions, at an early stage. Since there was no multispectral pedestrian detection dataset in an intralogistics domain, we collected a dataset; the dataset employs a method that aligns image pairs with different domains, i.e. RGB and thermal, without the use of a cumbersome device such as a beam splitter, but rather by exploiting the disparity between RGB sensors and camera geometry. In addition, we propose a multispectral pedestrian detector called SSD 2.5D that can not only detect pedestrians but also estimate the distance between an automated forklift and workers. In extensive experiments, the performance of detection and centroid localization is validated with respect to evaluation metrics used in the driving car domain but with distinct categories, such as hazardous zone and warning zone, to make it more applicable to the intralogistics domain.

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Sensors applied to automated guided vehicle position control: a systematic literature review

Cited by 28 publications

References 39 publications

A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding

A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding

LiDAR Positioning Algorithm Based on ICP and Artificial Landmarks Assistance

Multispectral Benchmark Dataset and Baseline for Forklift Collision Avoidance

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