A Smart vision system for advanced LGV navigation and obstacle detection

Bertozzi, Massimo; Bombini, Luca; Broggi, Alberto; Coati, Alessandro

doi:10.1109/itsc.2012.6338760

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…The analyzed LGV also has three laser-scanners. A rotating laser is applied to the LGV's turret for supporting the vehicle's navigation, by interacting with fixed reflective tapes [32]. The other two laser-scanners are used as an optical safety system to avoid accidental collisions [24].…”

Section: Lgv: Dynamics and Modelingmentioning

confidence: 99%

A life cycle costing of compacted lithium titanium oxide batteries for industrial applications

Cicconi

Postacchini

Pallotta

et al. 2019

Journal of Power Sources

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Section: Lgv: Dynamics and Modelingmentioning

confidence: 99%

A life cycle costing of compacted lithium titanium oxide batteries for industrial applications

Cicconi

Postacchini

Pallotta

et al. 2019

Journal of Power Sources

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“…Some other works can be found to detect hanging obstacles for blind people using ultrasonic sensors [ 91 ]. Likewise, hanging obstacle detection for the industrial vehicle has been presented in [ 92 ]. Though their method is intended for indoor environments, it can experiment if those apply to outdoor off-road scenarios.…”

Section: Discussionmentioning

confidence: 99%

Off-Road Detection Analysis for Autonomous Ground Vehicles: A Review

Islam¹,

Nabi²,

Ball³

2022

Sensors

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When it comes to some essential abilities of autonomous ground vehicles (AGV), detection is one of them. In order to safely navigate through any known or unknown environment, AGV must be able to detect important elements on the path. Detection is applicable both on-road and off-road, but they are much different in each environment. The key elements of any environment that AGV must identify are the drivable pathway and whether there are any obstacles around it. Many works have been published focusing on different detection components in various ways. In this paper, a survey of the most recent advancements in AGV detection methods that are intended specifically for the off-road environment has been presented. For this, we divided the literature into three major groups: drivable ground and positive and negative obstacles. Each detection portion has been further divided into multiple categories based on the technology used, for example, single sensor-based, multiple sensor-based, and how the data has been analyzed. Furthermore, it has added critical findings in detection technology, challenges associated with detection and off-road environment, and possible future directions. Authors believe this work will help the reader in finding literature who are doing similar works.

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“…Due to their increasing affordability, current advancements are in integrating vision components in process control, robotics and human-machine interaction (Banduka et al , 2016). Several works have been developed to show the applicability of SV systems (Maeder and Zhang, 2006; Massimo et al , 2012; Pasinetti et al , 2018; El Zant et al , 2020). An assistant system can be a conversational interface, such as a radio, a virtual assistant, or a chatbot.…”

Section: Literature Reviewmentioning

confidence: 99%

Quality Control 4.0: a way to improve the quality performance and engage shop floor operators

Silva

Borges

Magano

2021

IJQRM

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PurposeOrganizations must focus on increasingly complex and customized products and production processes integrated into technological and digital evolution. Thus, shop floor operators have a more significant number of complex tasks with responsibility for their quality control, looking for high productivity levels. However, there are human limitations to deal with the increased amount of information/data resulting from the integration of new technologies. As such, the main research objective is to answer the following research question “How can the combination of recent smart technologies with the human factor contribute to employees' involvement at the shop floor level and thus improve quality control?”Design/methodology/approachThis study follows a qualitative research approach by developing a singular case study in CPMG PSA Group – Peugeot Citroën, where two innovative information technology (IT) projects were implemented following the continuous improvement methodology PDCA cycle (Deming, 1986).FindingsThis work contributed to highlighting the human-centered approach in the discussion of Quality 4.0 development. The main theoretical contribution of this research is the identification of a set of key elements that should be present in the integration of the information technologies in quality control, namely: Prioritizing the quality problems supported by the fundamentals knowledge and tools of traditional quality management (QM); building multidisciplinary teams at different organization levels; following approaches that promote continuous improvement; developing the human-centered and user-friendly perspective; implementing solutions as directly as possible in the workstation; finally, enabling an effective communication and motivation strategies.Research limitations/implicationsThe research addresses a singular case study and solely explores the vertical integration process of Quality 4.0.Practical implicationsThe projects presented may inspire other organizations to integrate information technologies solutions in quality control, following the implementation process and the essential elements described in these examples. Thus, this research stresses that one should customize these projects with the involvement of shop floor operators in a human-centered and user-friendly perspective, both at the preliminary and succeeding stages.Originality/valueThis research presents two original and customized projects, bridging the technological perspective with the human factor in the digital transformation era, supporting the worker, not replacing it.

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A Smart vision system for advanced LGV navigation and obstacle detection

Cited by 5 publications

References 8 publications

A life cycle costing of compacted lithium titanium oxide batteries for industrial applications

A life cycle costing of compacted lithium titanium oxide batteries for industrial applications

Off-Road Detection Analysis for Autonomous Ground Vehicles: A Review

Quality Control 4.0: a way to improve the quality performance and engage shop floor operators

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