scholarly journals Long-Term Map Maintenance Pipeline for Autonomous Vehicles

2021 ◽  
pp. 1-14
Author(s):  
Julie Stephany Berrio ◽  
Stewart Worrall ◽  
Mao Shan ◽  
Eduardo Nebot
Keyword(s):  
Autonomous Vehicles ◽  
Term Map

scholarly journals Automatic synchronisation of the cell cycle in budding yeast through closed-loop feedback control

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Giansimone Perrino ◽  
Sara Napolitano ◽  
Francesca Galdi ◽  
Antonella La Regina ◽  
Davide Fiore ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Autonomous Vehicles ◽  
Genetic System ◽  
Yeast Cells ◽  
Control Engineering ◽  
Loop Feedback ◽  
Experimental Approaches ◽  
Closed Loop Feedback ◽  
Theoretical Foundations

AbstractThe cell cycle is the process by which eukaryotic cells replicate. Yeast cells cycle asynchronously with each cell in the population budding at a different time. Although there are several experimental approaches to synchronise cells, these usually work only in the short-term. Here, we build a cyber-genetic system to achieve long-term synchronisation of the cell population, by interfacing genetically modified yeast cells with a computer by means of microfluidics to dynamically change medium, and a microscope to estimate cell cycle phases of individual cells. The computer implements a controller algorithm to decide when, and for how long, to change the growth medium to synchronise the cell-cycle across the population. Our work builds upon solid theoretical foundations provided by Control Engineering. In addition to providing an avenue for yeast cell cycle synchronisation, our work shows that control engineering can be used to automatically steer complex biological processes towards desired behaviours similarly to what is currently done with robots and autonomous vehicles.

scholarly journals Cyber-yeast: Automatic synchronisation of the cell cycle in budding yeast through closed-loop feedback control

2020 ◽  
Author(s):  
Giansimone Perrino ◽  
Sara Napolitano ◽  
Francesca Galdi ◽  
Antonella La Regina ◽  
Davide Fiore ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Autonomous Vehicles ◽  
Genetic System ◽  
Yeast Cells ◽  
Control Engineering ◽  
Loop Feedback ◽  
Experimental Approaches ◽  
Closed Loop Feedback ◽  
Theoretical Foundations

ABSTRACTThe cell cycle is the process by which eukaryotic cells replicate. Yeast cells cycle asynchronously with each cell in the population budding at a different time. Although there are several experimental approaches to “synchronise” cells, these work only in the short-term. Here, we built a cyber-genetic system to achieve long-term synchronisation of the cell population, by interfacing genetically modified yeast cells with a computer by means of microfluidics to dynamically change medium, and a microscope to estimate cell cycle phases of individual cells. The computer implements a “controller” algorithm to decide when, and for how long, to change the growth medium to synchronise the cell-cycle across the population. Our work builds upon solid theoretical foundations provided by Control Engineering. In addition to providing a new avenue for yeast cell cycle synchronisation, our work shows that computers can automatically steer complex biological processes towards desired behaviours similarly to what is currently done with robots and autonomous vehicles.

scholarly journals CREATING MULTI-TEMPORAL MAPS OF URBAN ENVIRONMENTS FOR IMPROVED LOCALIZATION OF AUTONOMOUS VEHICLES

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 317-323
Author(s):  
J. Schachtschneider ◽  
C. Brenner
Keyword(s):  
Urban Areas ◽  
Autonomous Vehicles ◽  
Weather Conditions ◽  
Point Clouds ◽  
Urban Environments ◽  
Seasonal Effects ◽  
Data Set ◽  
Multi Temporal ◽  
One Year

Abstract. The development of automated and autonomous vehicles requires highly accurate long-term maps of the environment. Urban areas contain a large number of dynamic objects which change over time. Since a permanent observation of the environment is impossible and there will always be a first time visit of an unknown or changed area, a map of an urban environment needs to model such dynamics.In this work, we use LiDAR point clouds from a large long term measurement campaign to investigate temporal changes. The data set was recorded along a 20 km route in Hannover, Germany with a Mobile Mapping System over a period of one year in bi-weekly measurements. The data set covers a variety of different urban objects and areas, weather conditions and seasons. Based on this data set, we show how scene and seasonal effects influence the measurement likelihood, and that multi-temporal maps lead to the best positioning results.

scholarly journals Toward Policies to Manage the Impacts of Autonomous Vehicles on the City: A Visioning Exercise

2019 ◽  
Vol 11 (19) ◽  
pp. 5222 ◽  
Author(s):  
Luca Staricco ◽  
Valentina Rappazzo ◽  
Jacopo Scudellari ◽  
Elisabetta Vitale Brovarone
Keyword(s):  
Focus Group ◽  
Built Environment ◽  
Autonomous Vehicles ◽  
Autonomous Driving ◽  
Great Uncertainty ◽  
Italian City ◽  
Transition Paths ◽  
The City ◽  
Passive Attitude

There is great uncertainty about the transition from human to autonomous driving vehicles (AVs), as well as about the extent and direction of their potential impacts on the urban built environment. Planners are aware of the importance of leading this transition but are hesitant about how to proceed, and public administrations generally show a passive attitude. One of the reasons is the difficulty of defining long-term visions and identifying transition paths to achieve the desired future. The literature on AVs is growing rapidly but most of the visions proposed so far do not consider in detail how circulation and parking of AVs will (or could) be differently regulated in cities. In this study, three visions for the Italian city of Turin are proposed. The aim of these visions is to highlight how different forms of regulation of AV circulation and parking can impact on the sustainability and livability of the city. A focus group and a set of interviews with experts and stakeholders were used to validate the three visions and assess their advisability and sustainability. This visioning exercise is the first step in the development of a backcasting process.

EUREC4A: First Impressions

2020 ◽  
Author(s):  
Bjorn Stevens ◽  
Sandrine Bony ◽  
David Farrell ◽  
Alan Blyth ◽  
Chris Fairall ◽  
...  
Keyword(s):  
Autonomous Vehicles ◽  
Lower Atmosphere ◽  
First Impressions ◽  
Ground Station ◽  
Comprehensive Picture ◽  
Research Aircraft ◽  
Radiative Feedbacks ◽  
Aerosol Cloud Interactions

<p>The EUREC<sup>4</sup>A field campaign took place during January and February 2020, in the lower trades of the northern tropical Atlantic, over and in the seas windward of Barbados.  The initial purpose of the campaign was to test hypothesized cloud responses underpinning large positive radiative feedbacks from the desiccation of marine shallow convection with warming. To do so EUREC<sup>4</sup>A built on a long-standing cooperation with the Caribbean Institute for Meteorology and Hydrology to collect long-term cloud observations. Its scope was subsequently expanded by the addition of many partners, with funding from a variety of additional EU and UK projects, and US participants through ATOMIC, to address many additional questions. These ranged from the role of fine-scale eddies and fronts on air-sea coupling, to the effects of meso-scale organization on cloud radiative effects, to the strength of aerosol cloud interactions, among others. Hundreds of scientists from nearly a dozen nations -- incorporating measurements from four large Research Vessels and five Research Aircraft, an advanced remote sensing ground station and a large number of autonomous vehicles in the air and sea -- combined their expertise  to develop an unusually comprehensive picture of the processes relevant to the lower atmosphere and the upper ocean in the lower trades. We share our first impressions from EUREC<sup>4</sup>A, its surprises, and its prospects for answering some of the riddles that motivated this tremendous and coordinated effort.</p>

Effects of Spaced Repetition on Long-Term Map Knowledge Recall

2010 ◽  
Vol 109 (5) ◽  
pp. 201-206 ◽  
Author(s):  
David M. Zirkle ◽  
Arthur K. Ellis
Keyword(s):  
Spaced Repetition ◽  
Term Map

Design Considerations for Oceanographic Research Vessels

2001 ◽  
Vol 35 (3) ◽  
pp. 8-13
Author(s):  
Sujata S. Millick
Keyword(s):  
Power Systems ◽  
Autonomous Vehicles ◽  
Information Technologies ◽  
Life Cycle Management ◽  
Research Vessel ◽  
Laboratory System ◽  
Oceanographic Research ◽  
The University ◽  
Efficient Power

As the oceanographic research vessel community prepares for updating its fleet of research vessels, they must consider vessel designs that improve the capability of the fleet to support science in the near and long-term. Advances in informational technologies have changed the "instruments" of science and resulted in the ability to study ocean processes in smaller time and space scales than before. While, networked structures on the ocean floor, remote sensing, and autonomous vehicles will allow oceanographers to synoptically measure the environment, ships will remain the "host-platforms" for such research. However, deployment and recovery of such systems, requires that future designs incorporate capabilities for increased speed, seakeeping, acoustic quietness, efficient power management systems, and lifecycle considerations. Consideration of such issues in the design phases will allow for the development of a technologically advanced ship that can serve the research community in the near and long-term.A major aspect of oceanography through the decades has been the availability of research vessels for science. However, the access to and the capability of such vessels under the University-National Oceanographic Laboratory System (UNOLS) must not be taken for granted. Changes in the oceanographer's ability to make measurements at smaller and smaller sampling scales are brought on by advents in computational and information technologies. These changes necessitate that the researcher's "host-platform" evolves to handle these new observing systems. This evolution can include, but is not limited to speed, seakeeping, efficient ship power arrangements, and acoustic quietness. While each subject can be the focus of detailed individual papers, this article presents a general discussion on four elements of oceanographic research vessel design—hull concepts, power systems, acoustics, and life cycle management.

scholarly journals Detection of Road Traffic Anomalies Based on Computational Data Science

2022 ◽  
Author(s):  
Jamal Raiyn
Keyword(s):  
Traffic Congestion ◽  
Autonomous Vehicles ◽  
Data Science ◽  
Road Traffic ◽  
Smart Devices ◽  
Traffic Data ◽  
Forecasting Accuracy ◽  
Traffic Efficiency ◽  
Computational Data

Abstract The development of 5G has enabled the autonomous vehicles (AVs) to have full control over all functions. The AV acts autonomously and collects travel data based on various smart devices and sensors, with the goal of enabling it to operate under its own power. However, the collected data is affected by several sources that degrade the forecasting accuracy. To manage large amounts of traffic data in different formats, a computational data science approach (CDS) is proposed. The computational data science scheme introduced to detect anomalies in traffic data that negatively affect traffic efficiency. The combination of data science and advanced artificial intelligence techniques, such as deep leaning provides higher degree of data anomalies detection which leads to reduce traffic congestion and vehicular queuing. The main contribution of the CDS approach is summarized in detection of the factors that caused data anomalies early to avoid long- term traffic congestions. Moreover, CDS indicated a promoting results in various road traffic scenarios.

Long-Term Map Maintenance in Complex Environments

2021 ◽  
pp. 146-161
Author(s):  
Josias Oliveira ◽  
Filipe Mutz ◽  
Avelino Forechi ◽  
Pedro Azevedo ◽  
Thiago Oliveira-Santos ◽  
...  
Keyword(s):  
Complex Environments ◽  
Term Map
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