Road Tracking in Semi-structured Environments Using Spatial Distribution of Lidar Data

Tsiakas, Kosmas; Kostavelis, Ioannis; Giakoumis, Dimitrios; Tzovaras, Dimitrios

doi:10.1007/978-3-030-68787-8_32

Cited by 7 publications

(2 citation statements)

References 33 publications

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“…By deploying these techniques in shotcrete, it will show-case the applicability of these controllers in a real environment, and aims to bring these technologies to TRL5. Abilities for self-monitor task completion for surface finishing will be delivered and to autonomously re-planning of arm and base trajectory for proper task completion while navigating to the site will be addressed 41 . It will use trajectory-based control for shotcreting and force control for scraping.…”

Section: Related Research Efforts In Construction Domainmentioning

confidence: 99%

RoBétArmé Project: Human-robot collaborative construction system for shotcrete digitization and automation through advanced perception, cognition, mobility and additive manufacturing skills

Kostavelis,

Nalpantidis,

Detry

et al. 2024

Open Res Europe

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The importance of construction automation has grown worldwide, aiming to deliver new machineries for the automation of roads, tunnels, bridges, buildings and earth-work construction. This need is mainly driven by (i) the shortage and rising costs of skilled workers, (ii) the tremendous increased needs for new infrastructures to serve the daily activities and (iii) the immense demand for maintenance of ageing infrastructure. Shotcrete (sprayed concrete) is increasingly becoming popular technology among contractors and builders, as its application is extremely economical and flexible as the growth in construction repairs in developed countries demand excessive automation of concrete placement. Even if shotcrete technology is heavily mechanized, the actual application is still performed manually at a large extend. RoBétArméEuropean project targets the Construction 4.0 transformation of the construction with shotcrete with the adoption of breakthrough technologies such as sensors, augmented reality systems, high-performance computing, additive manufacturing, advanced materials, autonomous robots and simulation systems, technologies that have already been studied and applied so far in Industry 4.0. The paper at hand showcases the development of a novel robotic system with advanced perception, cognition and digitization capabilities for the automation of all phases of shotcrete application. In particular, the challenges and barriers in shotcrete automation are presented and the RoBétArmésuggested solutions are outlined. We introduce a basic conceptual architecture of the system to be developed and we demonstrate the four application scenarios on which the system is designated to operate.

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Section: Related Research Efforts In Construction Domainmentioning

confidence: 99%

RoBétArmé Project: Human-robot collaborative construction system for shotcrete digitization and automation through advanced perception, cognition, mobility and additive manufacturing skills

Kostavelis,

Nalpantidis,

Detry

et al. 2024

Open Res Europe

Self Cite

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“…The requirements for the perception system derive from the localization and navigation systems that control the overall motion of the autonomous vehicle. Driverless vehicles used in logistics applications must be able to continuously localize with high accuracy in their environment, detect the drivable and traversable area [29], decide on the optimal paths over structured and unstructured areas, and finally detect the delivery space in order to complete their mission. Apart from that, a smooth interaction with humans is required through advanced human-machine interaction interfaces.…”

Section: Perception Of Vehiclesmentioning

confidence: 99%

A Viewpoint on the Challenges and Solutions for Driverless Last-Mile Delivery

et al. 2022

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The occurring growth in e-commerce comes along with an increasing number of first-time delivery failures due to the customer’s absence at the delivery location. Failed deliveries result in rework, causing a significant impact on the carriers’ delivery cost. Hence, the last mile is the portion of a journey that involves moving people and commodities from a transportation hub to a final destination, which should be an efficient process. The above-mentioned concept is used in supply chain management and transportation planning. The paper at hand is a position paper that aims to scrutinize the concept of driverless last-mile delivery, with autonomous vehicles, in order to highlight and stress the challenges and limitations in the existing technology that hinder level five autonomous driving. Specifically, this work documents the current capabilities of the existing autonomous vehicles’ perception and cognition system and outlines their future skills towards addressing complete autonomous last-mile delivery, as well as efficient robotic process automation in logistics from warehouse/distribution center to hub’s delivery.

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Density-Based Road Segmentation Algorithm for Point Cloud Collected by Roadside LiDAR

Jin

Guo

et al. 2023

Automot. Innov.

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Road Tracking in Semi-structured Environments Using Spatial Distribution of Lidar Data

Cited by 7 publications

References 33 publications

RoBétArmé Project: Human-robot collaborative construction system for shotcrete digitization and automation through advanced perception, cognition, mobility and additive manufacturing skills

RoBétArmé Project: Human-robot collaborative construction system for shotcrete digitization and automation through advanced perception, cognition, mobility and additive manufacturing skills

A Viewpoint on the Challenges and Solutions for Driverless Last-Mile Delivery

Density-Based Road Segmentation Algorithm for Point Cloud Collected by Roadside LiDAR

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