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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Alexey V. Golikov; Julian B. Stauffer; Sophie V. Schindler; James Taylor; +4 Authors

    Supplementary videos and their metadata for the open access peer-reviewed paper 'Miles down for lunch: deep-sea in situ observations of Arctic finned octopods Cirroteuthis muelleri suggest pelagic-benthic feeding migration' Acknowledgements We thank Drs. Eva Ramirez-Llodra (REV Ocean; NIVA), Inken Suck (GEOMAR), Thomas Soltwedel (AWI) and Saskia Brix (DZMB); the crews and research crews of R/Vs ‘Kronprins Haakon’, ‘Maria S. Merian’, ‘Polarstern’ and ‘Sonne’, and HAUSGARTEN team; ROVs ‘Aurora Borealis’, ‘PHOCA’ and ‘KIEL 6000’, PELAGIOS and OFOBS technicians and operators; and HACON project (HACON19 and HACON21 cruises), funded by the Norwegian Research Council, grant № 274330.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Audiovisual . 2023
    License: CC BY
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Audiovisual . 2023
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      Audiovisual . 2023
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      Audiovisual . 2023
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    Authors: Joanne Wirtz; Patrick Van Egmond;

    A summary video documenting and introducing the activities of pilot 4 of the PAsCAL real-world pilots. The "Shared Connected Transport" pilot explores the role of CAVs within commercial shared mobility businesses in close cooperation with the luxembourgish car-sharing operator Moovee and the transport operator Sales-Lentz to explore the viability and profitability of the integration of CAVs into their offering. In particular, this pilot seeks to explore the possibility of a wide market uptake of automated vehicles within existing fleets in urban environments.

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    Audiovisual . 2022
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Audiovisual . 2022
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      Audiovisual . 2022
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      Audiovisual . 2022
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    Authors: Avsar, Ercan; Feekings, Jordan P.; Krag, Ludvig Ahm;

    This dataset constitutes a supplementary material to the related publication in which a real-time Nephrops counter is presented. The dataset contains the five video files used in the development of the Nephrops counter. The files are the recordings of the catch monitoring during demersal trawling. 

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    Audiovisual . 2022
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    https://doi.org/10.11583/dtu.2...
    Audiovisual . 2022
    License: CC BY
    Data sources: Datacite; Sygma
    https://doi.org/10.11583/dtu.2...
    Audiovisual . 2022
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      Audiovisual . 2022
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      https://doi.org/10.11583/dtu.2...
      Audiovisual . 2022
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      https://doi.org/10.11583/dtu.2...
      Audiovisual . 2022
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Li, Daofei; Pan, Hao;

    Overtaking on two-lane two-way (TLTW) highways is often associated with a high risk of crashing. However, existing models of TLTW overtaking decision, either mechanism- or learning-based, cannot handle well the dynamic coupling among the interacting drivers. For accurate overtaking modelling, it is crucial to consider the uncertainties of interacting vehicle behaviours, especially their driving styles. To address these needs, we propose a TLTW overtaking decision model using a level-k game theoretic framework, which can consider the mutual influences between the ego and oncoming vehicles of different driving styles. A dataset is built based on the TLTW overtaking experiments with two instrumented vehicles, then PCA and k-means clustering are used to classify three driving styles, i.e. aggressive, normal and conservative. By comparing the model predictions with the experiment data, the statistics and case studies show that the proposed model with driving style awareness can accurately describe driver decisions in TLTW overtaking.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ figsharearrow_drop_down
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    Audiovisual . 2022
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Audiovisual . 2022
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ figsharearrow_drop_down
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      Audiovisual . 2022
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    Authors: Leilei Cui;

    SUMO, Adaptive Dynamic Programming, Connected and Autonomous Vehicles, Lane Keeping

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    Audiovisual . 2021
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Authors: Sokolova, Maria; Mompo Alepuz, Adrià; Thompson, Fletcher; Mariani, Patrizio; +2 Authors

    A supplementary material to the publication containing video recordings of the catch monitoring during demersal trawling.The different phases of the haul (time intervals in seconds from the haul start) show the quality of the corresponding video recordings. The collected data was used to develop and test an algorithm for automated catch description.

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    https://doi.org/10.11583/dtu.1...
    Audiovisual . 2021
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    Audiovisual . 2021
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      https://doi.org/10.11583/dtu.1...
      Audiovisual . 2021
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    Authors: Allen, Ben; Brown, Tim W. C.; Drysdale, Timothy D.;

    Linear angular momentum multiplexing (LAMM) has recently been proposed for high spectral-efficiency communications between moving platforms such as between trains and ground infrastructure. We present performance results obtained from a scale experimental system comprising a 2 × 2 antenna system operating at 2.35 GHz. The link transmitted two independent video streams, using RF pre-coding and software defined radios to modulate and up/down-convert the signals. Linear motion is introduced to demonstrate the translation-invariance of the technique. We interpret the measured data with the aid of an analytical model to show that crosstalk between the two channels is at levels low enough to consistently support the video streams without interruption. Specifically, our results show spectral efficiency is consistently higher when LAMM coding is enabled compared to an uncoded channel.

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    Audiovisual . 2021
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    Authors: Jin, Li; Feng, Chen;

    Traditional high-way transportation systems are monitored based on traffic counters. Such sensors provide much less information compared to traffic cameras and make the system less secure/resilient to attacks/disasters. Thanks to the success of deep learning for object detection/segmentation on images and the publicly available large-scale image datasets with object labels, fusing the information from both traffic counters and traffic cameras has the potential to improve the security and resilience of existing high- way transportation systems. The purpose of the project is to investigate such a potential by developing a deep-learning-based highway video monitoring method that can reliably estimate the fine-grained (car/truck/motorcycle) traffic flow of a high-way network. First, we need to collect a large- scale traffic video dataset with traffic flow estimations from corresponding traffic counters. Then, we need to find efficient deep learning methods for extracting fine-grained local traffic information from individual traffic videos. At last, we need to correlate this information with traffic counters for sensor fusion and detection of defective counters.

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    Authors: Cuthbert, Ross N; Wasserman, Ryan J; Tatenda Dalu;

    Arid-adapted paradiaptomid copepods contribute to mosquito regulation

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    Authors: Müller, Johannes; Strohbeck, Jan; Herrmann, Martin; Buchholz, Michael;

    Motion planning at urban intersections that accounts for the situation context, handles occlusions and deals with measurement and prediction uncertainty is a major challenge on the way to urban automated driving. As classical methods subdivide the motion planning into decision making and trajectory planning, they either come with a narrowed solution set or finding a feasible trajectory is not guaranteed. In this work, motion planning is formulated as an optimal control problem (OCP) and holistically solved for exploring all available decision options. The OCP is parametrized and simplified according to the situation context extracted from map and perception information. Occlusions are resolved using the external perception of infrastructure-mounted sensors. Yet, instead of merging external and ego perception with track-to-track (T2T) fusion, the information is used in parallel. The uncertainties are handled by a risk model that bridges the gap between set-based methods and probabilistic approaches. Particularly, for vanishing risk, the formal guarantees of set-based methods are inherited, while otherwise, the guarantees are softened to guarantees in a probabilistic sense. This video shows a short presentation of the motion planning approach as well as results from the real-world experiments.

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    Authors: Alexey V. Golikov; Julian B. Stauffer; Sophie V. Schindler; James Taylor; +4 Authors

    Supplementary videos and their metadata for the open access peer-reviewed paper 'Miles down for lunch: deep-sea in situ observations of Arctic finned octopods Cirroteuthis muelleri suggest pelagic-benthic feeding migration' Acknowledgements We thank Drs. Eva Ramirez-Llodra (REV Ocean; NIVA), Inken Suck (GEOMAR), Thomas Soltwedel (AWI) and Saskia Brix (DZMB); the crews and research crews of R/Vs ‘Kronprins Haakon’, ‘Maria S. Merian’, ‘Polarstern’ and ‘Sonne’, and HAUSGARTEN team; ROVs ‘Aurora Borealis’, ‘PHOCA’ and ‘KIEL 6000’, PELAGIOS and OFOBS technicians and operators; and HACON project (HACON19 and HACON21 cruises), funded by the Norwegian Research Council, grant № 274330.

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    Authors: Joanne Wirtz; Patrick Van Egmond;

    A summary video documenting and introducing the activities of pilot 4 of the PAsCAL real-world pilots. The "Shared Connected Transport" pilot explores the role of CAVs within commercial shared mobility businesses in close cooperation with the luxembourgish car-sharing operator Moovee and the transport operator Sales-Lentz to explore the viability and profitability of the integration of CAVs into their offering. In particular, this pilot seeks to explore the possibility of a wide market uptake of automated vehicles within existing fleets in urban environments.

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    Authors: Avsar, Ercan; Feekings, Jordan P.; Krag, Ludvig Ahm;

    This dataset constitutes a supplementary material to the related publication in which a real-time Nephrops counter is presented. The dataset contains the five video files used in the development of the Nephrops counter. The files are the recordings of the catch monitoring during demersal trawling. 

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    https://doi.org/10.11583/dtu.2...
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    Authors: Li, Daofei; Pan, Hao;

    Overtaking on two-lane two-way (TLTW) highways is often associated with a high risk of crashing. However, existing models of TLTW overtaking decision, either mechanism- or learning-based, cannot handle well the dynamic coupling among the interacting drivers. For accurate overtaking modelling, it is crucial to consider the uncertainties of interacting vehicle behaviours, especially their driving styles. To address these needs, we propose a TLTW overtaking decision model using a level-k game theoretic framework, which can consider the mutual influences between the ego and oncoming vehicles of different driving styles. A dataset is built based on the TLTW overtaking experiments with two instrumented vehicles, then PCA and k-means clustering are used to classify three driving styles, i.e. aggressive, normal and conservative. By comparing the model predictions with the experiment data, the statistics and case studies show that the proposed model with driving style awareness can accurately describe driver decisions in TLTW overtaking.

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    Authors: Leilei Cui;

    SUMO, Adaptive Dynamic Programming, Connected and Autonomous Vehicles, Lane Keeping

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    Authors: Sokolova, Maria; Mompo Alepuz, Adrià; Thompson, Fletcher; Mariani, Patrizio; +2 Authors

    A supplementary material to the publication containing video recordings of the catch monitoring during demersal trawling.The different phases of the haul (time intervals in seconds from the haul start) show the quality of the corresponding video recordings. The collected data was used to develop and test an algorithm for automated catch description.

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    Authors: Allen, Ben; Brown, Tim W. C.; Drysdale, Timothy D.;

    Linear angular momentum multiplexing (LAMM) has recently been proposed for high spectral-efficiency communications between moving platforms such as between trains and ground infrastructure. We present performance results obtained from a scale experimental system comprising a 2 × 2 antenna system operating at 2.35 GHz. The link transmitted two independent video streams, using RF pre-coding and software defined radios to modulate and up/down-convert the signals. Linear motion is introduced to demonstrate the translation-invariance of the technique. We interpret the measured data with the aid of an analytical model to show that crosstalk between the two channels is at levels low enough to consistently support the video streams without interruption. Specifically, our results show spectral efficiency is consistently higher when LAMM coding is enabled compared to an uncoded channel.

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    Authors: Jin, Li; Feng, Chen;

    Traditional high-way transportation systems are monitored based on traffic counters. Such sensors provide much less information compared to traffic cameras and make the system less secure/resilient to attacks/disasters. Thanks to the success of deep learning for object detection/segmentation on images and the publicly available large-scale image datasets with object labels, fusing the information from both traffic counters and traffic cameras has the potential to improve the security and resilience of existing high- way transportation systems. The purpose of the project is to investigate such a potential by developing a deep-learning-based highway video monitoring method that can reliably estimate the fine-grained (car/truck/motorcycle) traffic flow of a high-way network. First, we need to collect a large- scale traffic video dataset with traffic flow estimations from corresponding traffic counters. Then, we need to find efficient deep learning methods for extracting fine-grained local traffic information from individual traffic videos. At last, we need to correlate this information with traffic counters for sensor fusion and detection of defective counters.

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    Authors: Cuthbert, Ross N; Wasserman, Ryan J; Tatenda Dalu;

    Arid-adapted paradiaptomid copepods contribute to mosquito regulation

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    Authors: Müller, Johannes; Strohbeck, Jan; Herrmann, Martin; Buchholz, Michael;

    Motion planning at urban intersections that accounts for the situation context, handles occlusions and deals with measurement and prediction uncertainty is a major challenge on the way to urban automated driving. As classical methods subdivide the motion planning into decision making and trajectory planning, they either come with a narrowed solution set or finding a feasible trajectory is not guaranteed. In this work, motion planning is formulated as an optimal control problem (OCP) and holistically solved for exploring all available decision options. The OCP is parametrized and simplified according to the situation context extracted from map and perception information. Occlusions are resolved using the external perception of infrastructure-mounted sensors. Yet, instead of merging external and ego perception with track-to-track (T2T) fusion, the information is used in parallel. The uncertainties are handled by a risk model that bridges the gap between set-based methods and probabilistic approaches. Particularly, for vanishing risk, the formal guarantees of set-based methods are inherited, while otherwise, the guarantees are softened to guarantees in a probabilistic sense. This video shows a short presentation of the motion planning approach as well as results from the real-world experiments.

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