المؤلفون: Hafsa Iqbal, Damian Campo, Pablo Marin-Plaza, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni

المصدر: IEEE Transactions on Intelligent Transportation Systems. 23:14608-14619

مصطلحات موضوعية: Mechanical Engineering, Autonomous vehicles, transfer learning, Cameras, high dimensional Markov jump particle filter, anomaly detection, Computer Science Applications, Laser radar, Point cloud compression, 3D-convolutional encoder decoder, Solid modeling, Automotive Engineering, Feature extraction, Three-dimensional displays, hierarchical generalize dynamic Bayesian network, LSTM

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b08d9d5a9c0b8094d931af96a50594f
https://doi.org/10.1109/tits.2021.3130974

المؤلفون: Serkan Ayaz, Apostolos Kousaridas, David Garcia-Roger, Panagiotis Spapis, Jose F. Monserrat, David Martin-Sacristan, Sandra Roger

المصدر: IEEE Transactions on Intelligent Transportation Systems. 23:1044-1057

مصطلحات موضوعية: business.industry, Computer science, Mechanical Engineering, Transmitter, Context (language use), Radio Resource Control, Computer Science Applications, Automotive Engineering, Context awareness, Overhead (computing), Mobile telephony, Radio resource management, Antenna (radio), business, Computer network

الوصف: Enhanced vehicle-to-everything (eV2X) communication is one of the key challenges to be addressed by the fifth generation (5G) of cellular mobile communications. In particular, eV2X includes some 5G vehicular applications targeting fully autonomous driving which require ultra-high reliability. Although vehicular communications are by default assumed between single antennas located on the roof of the transmitter and receiver vehicles, prior art has shown that there are other antenna positions more suitable for V2X communication, depending on the specific communication context. Antenna selection can be used in this case to select one specific antenna or a subset of them better suited for a certain communication link. In this work, we propose a context-aware antenna selection procedure able to enhance the communication with multi-antenna vehicles. To enable such scheme in 5G systems, we discuss the necessary signaling to extend current 5G radio resource control and radio resource management mechanisms, which are mainly focused on single-antenna communication. The signaling overhead caused by context exchange for antenna selection is analyzed and compared to the overhead when reference signals are exchanged for that purpose instead. Finally, simulation results for a 5G platooning use case are presented to show the advantages of antenna selection.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::77a57cdfe4afd61dc2d39a90d8d2c11b
https://doi.org/10.1109/tits.2020.3019530

المؤلفون: Daichi Izumi, Nobuyuki Ishikawa, Pello Uranga, Nerea Isasti, Jose M. Rodriguez-Ibabe, Douglas Stalheim, David Jarreta, David Martin

المصدر: ISIJ International.

مصطلحات موضوعية: Mechanics of Materials, Mechanical Engineering, Materials Chemistry, Metals and Alloys

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::8ed12da67ab663d984e9ef27173c8271
https://doi.org/10.2355/isijinternational.isijint-2022-556

المؤلفون: Lucio Marcenaro, Damian Campo, Mahdyar Ravanbakhsh, Mohamad Baydoun, Carlo S. Regazzoni, Pablo Marin, David Martin

المصدر: IEEE Transactions on Intelligent Transportation Systems. 22:3372-3386

مصطلحات موضوعية: Self-organization, 050210 logistics & transportation, Modality (human–computer interaction), Computer science, business.industry, Mechanical Engineering, Image and Video Processing (eess.IV), 05 social sciences, Autonomous agent, Probabilistic logic, Electrical Engineering and Systems Science - Image and Video Processing, Computer Science Applications, Data modeling, Vehicle dynamics, 0502 economics and business, Automotive Engineering, FOS: Electrical engineering, electronic engineering, information engineering, Artificial intelligence, business, Generative grammar, Dynamic Bayesian network

الوصف: The technology for autonomous vehicles is close to replacing human drivers by artificial systems endowed with high-level decision-making capabilities. In this regard, systems must learn about the usual vehicle's behavior to predict imminent difficulties before they happen. An autonomous agent should be capable of continuously interacting with multi-modal dynamic environments while learning unseen novel concepts. Such environments are not often available to train the agent on it, so the agent should have an understanding of its own capacities and limitations. This understanding is usually called self-awareness. This paper proposes a multi-modal self-awareness modeling of signals coming from different sources. This paper shows how different machine learning techniques can be used under a generic framework to learn single modality models by using Dynamic Bayesian Networks. In the presented case, a probabilistic switching model and a bank of generative adversarial networks are employed to model a vehicle's positional and visual information respectively. Our results include experiments performed on a real vehicle, highlighting the potentiality of the proposed approach at detecting abnormalities in real scenarios.
Comment: arXiv admin note: substantial text overlap with arXiv:1806.02609

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a016c52fe9779b31b834a5a7183a4a73
https://doi.org/10.1109/tits.2020.2984735

المؤلفون: David Garcia-Roger, Panagiotis Spapis, Jose F. Monserrat, Alexandros Kaloxylos, David Martin-Sacristan, Chan Zhou, Sandra Roger

المصدر: IEEE Transactions on Intelligent Transportation Systems. 22:1052-1067

مصطلحات موضوعية: Mobile edge computing, business.industry, Computer science, Mechanical Engineering, Core network, Computer Science Applications, Broadcasting (networking), Handover, Server, Automotive Engineering, Cellular network, Latency (engineering), business, Computer network

الوصف: Mobile network operators are interested in providing Vehicle-to-Vehicle (V2V) communication services using their cellular infrastructure. Regional split of operators is one possible approach to support multi-operator infrastructure-based cellular V2V communication. In this approach, a geographical area is divided into non-overlapping regions, each one served by a unique operator. Its main drawback is the communication interruption motivated by the inter-operator handover in border areas, which prevents the fulfillment of the maximum end-to-end (E2E) latency requirements of fifth generation (5G) V2V services related to autonomous driving. In this work, we enable a fast inter-operator handover based on the pre-registration of the users on multiple operators, which substantially reduces the handover time to guarantee maximum E2E latency values of 100 ms in non-congested scenarios. To further reduce the latency of time-critical services to always less than 70 ms, even with the handover interruption time, while providing a latency around 20 ms in the majority of locations, we propose to complement the former technique with a mobile edge computing approach. Our proposal consists in the localization of application servers and broadcasting entities in all the base stations, to avoid the communication through the core network, together with the use of a new set of nodes in the base stations of cross-border areas called inter-operator relays, to minimize the communication latency between operators. Based on analytic and simulation results, it is demonstrated that the proposed techniques are effective to support low-latency infrastructure-based cellular V2V communications in multi-operator environments with regional split.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::4940098be3bfb135f10a24f3e85effd1
https://doi.org/10.1109/tits.2019.2962097

المؤلفون: Sandra Roger, David Martin-Sacristan, Serkan Ayaz, Apostolos Kousaridas, David Garcia-Roger, Alexandros Kaloxylos, Panagiotis Spapis, Jose F. Monserrat

المصدر: IEEE Transactions on Intelligent Transportation Systems. 20:2962-2975

مصطلحات موضوعية: 050210 logistics & transportation, Multicast, Computer science, business.industry, Mechanical Engineering, 05 social sciences, Message passing, Communications system, Multimedia Broadcast Multicast Service, Computer Science Applications, Protocol stack, Base station, 0502 economics and business, Automotive Engineering, Unicast, Latency (engineering), business, Computer network

الوصف: The long-term evolution multimedia broadcast multicast service (MBMS) infrastructure has been shown to efficiently fulfill the requirements of classical vehicle-to-vehicle services, such as cooperative awareness message and decentralized environmental notification message delivery, which involve the transmission of the same message to a set of destination receivers in close proximity. When targeting autonomous driving applications, related 5G V2X services, such as cooperative collision avoidance (CCA), impose challenging latency and reliability requirements that cannot be generally guaranteed using the current MBMS architecture. In this paper, we propose a low-latency multicast scheme aimed at decreasing the end-to-end (E2E) communication latency. The proposed approach concentrates the multicast network functionalities into the layer-2 of the base stations (BSs) protocol stack, including a message passing between neighboring BSs, to achieve a fast management of multicast groups and a reduction of the communication path through the network infrastructure. The results show that the proposed technique can substantially decrease the E2E latency of conventional MBMS and ensure the correct operation of demanding services, such as CCA moving toward 5G communication systems.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ac555451fbf3ed9316d90f61cc03dfc1
https://doi.org/10.1109/tits.2018.2870198

المؤلفون: James A. Dumesic, Christos T. Maravelias, Wangyun Won, Kevin J. Barnett, Kefeng Huang, Zachary J. Brentzel, David Martin Alonso, George W. Huber

المصدر: Applied Energy. 213:585-594

مصطلحات موضوعية: Chemistry, 020209 energy, Mechanical Engineering, Biomass, Lignocellulosic biomass, 02 engineering and technology, Building and Construction, Management, Monitoring, Policy and Law, 010402 general chemistry, Biorefinery, Pulp and paper industry, 01 natural sciences, 0104 chemical sciences, chemistry.chemical_compound, General Energy, Biofuel, Enzymatic hydrolysis, 0202 electrical engineering, electronic engineering, information engineering, Hemicellulose, Fermentation, Cellulose

الوصف: A biorefinery strategy for the coproduction of ethanol and 1,5-pentanediol (1,5-PDO), which can be used as polyester and polyurethane component, from lignocellulosic biomass is proposed. This strategy integrates biomass fractionation with simultaneous conversion of hemicellulose and cellulose constituents into 1,5-PDO and ethanol, respectively. An experimentally-based process model is developed to determine the economic potential of the integrated strategy. The coproduction strategy becomes competitive with the ethanol-only strategy when 1,5-PDO can be sold at $1140/ton, which is well below the market price of 1,5-PDO. The most important process parameters include biomass loading for biomass fractionation, enzyme loading for enzymatic hydrolysis and fermentation, and overall achievable yields from C5 sugars to 1,5-PDO.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0bc9042ce66b2f6e859bc3dc738cc444
https://doi.org/10.1016/j.apenergy.2017.11.002

المؤلفون: David Martin, Ahmed Hussein, Arturo de la Escalera, Pablo Marin-Plaza

المساهمون: Comunidad de Madrid, Ministerio de Economía y Competitividad (España)

المصدر: Journal of Advanced Transportation, Vol 2018 (2018)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)

مصطلحات موضوعية: 0209 industrial biotechnology, Economics and Econometrics, Kinematics, Article Subject, Computer science, Strategy and Management, Robótica e Informática Industrial, Real-time computing, Ackermann model, Autonomous vehicles, 02 engineering and technology, Software prototyping, 020901 industrial engineering & automation, Software, 0202 electrical engineering, electronic engineering, information engineering, Sensitivity (control systems), Motion planning, Time elastic bands, business.industry, Mechanical Engineering, lcsh:TA1001-1280, Robotics, Intelligent campus automobile, Open-source robotics, Collision, lcsh:HE1-9990, Computer Science Applications, Automotive Engineering, Trajectory, Robot operating system, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Transportation engineering, lcsh:Transportation and communications, business

الوصف: The aim of this work is to integrate and analyze the performance of a path planning method based on Time Elastic Bands (TEB) in real research platform based on Ackermann model. Moreover, it will be proved that all modules related to the navigation can coexist and work together to achieve the goal point without any collision. The study is done by analyzing the trajectory generated from global and local planners. The software prototyping tool is Robot Operating System (ROS) from Open Source Robotics Foundation and the research platform is the iCab (Intelligent Campus Automobile) from University Carlos III. This work has been validated from a test inside the campus where the iCab has performed the navigation between the starting point and the goal point without any collision. During the experiment, we proved the low sensitivity of the TEB method to variations of the vehicle model configuration and constraints. This research is supported by Madrid Community Project SEGVAUTO-TRIES and by the Spanish Government CICYT Projects (TRA2013-48314-C3-1-R, TRA2015-63708-R, and TRA2016-78886-C3-1-R).

وصف الملف: text/xhtml; application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2360686b775697d14e6d30597e98524
https://doi.org/10.1155/2018/6392697

المؤلفون: Fredrik Lindberg, David Martin, Adam Taylor, Bevek Hutchinson, Ross K. W. Marceau, Håkan Thoors, Oskar Karlsson

المصدر: Materials Science and Technology. 33:497-506

مصطلحات موضوعية: 010302 applied physics, Materials science, Mechanical Engineering, Metallurgy, Vanadium, chemistry.chemical_element, 02 engineering and technology, 021001 nanoscience & nanotechnology, Condensed Matter Physics, Microstructure, 01 natural sciences, Galvanization, symbols.namesake, chemistry, Mechanics of Materials, Aluminium, Martensite, 0103 physical sciences, Ultimate tensile strength, symbols, General Materials Science, Tempering, 0210 nano-technology, Ductility

الوصف: Ultra-high strength steel sheets have been subjected to heat treatments that simulate the thermal cycles in hot-dip galvanising and galvannealing processes and evaluated with respect to their resulting mechanical properties and microstructures. The steels contained suitable contents of carbon (∼0.2%), manganese (1.2%) and chromium (0.4%) to ensure that they could be fully transformed to martensite after austenitisation followed by rapid cooling in a continuous annealing line, prior to galvanising. Different contents of vanadium (0–0.1%) and nitrogen (0.002–0.012%) were used to investigate the possible role of these microalloying elements on the strength of the tempered martensite. Vanadium, especially when in combination with a raised nitrogen content, helps to resist the effect of tempering so that a larger proportion of the initial strengthening is preserved after the galvanising cycle, giving tensile strength levels exceeding 1000 MPa. Different deoxidation practices using aluminium or silicon have als...

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::3290802ca232167489a33507f765fb61
https://doi.org/10.1080/02670836.2016.1235841

المؤلفون: David Martin, Nima Haghdadi, Peter Hodgson

المصدر: Materials & Design, Vol 106, Iss, Pp 420-427 (2016)

مصطلحات موضوعية: Materials science, Dual-phase steel, 020502 materials, Mechanical Engineering, Constitutive equation, Metallurgy, 02 engineering and technology, Work hardening, Mechanics, Strain hardening exponent, 021001 nanoscience & nanotechnology, Avrami equation, Hot working, 0205 materials engineering, Mechanics of Materials, lcsh:TA401-492, Dynamic recrystallization, lcsh:Materials of engineering and construction. Mechanics of materials, General Materials Science, 0210 nano-technology, Softening

الوصف: A detailed understanding of the hot deformation and work hardening behavior of LDX 2101 dual phase steel has been obtained through a wide range of hot compression tests with strain rates from 0.01 to 50 s−1 and temperatures from 900 to 1250 °C. In most of the cases, the material showed typical dynamic recrystallization (DRX) behavior i.e., a peak followed by a gradual decrease to a steady state stress. The work hardening rate showed a two stage behavior i.e., a transient sharp drop at low stress values followed by a gradual decrease at higher stresses. Using the work hardening rate behavior at the latter stage, the saturation stress was calculated for different hot working conditions. Regression methods were used to develop a hyperbolic-sine equation linking the saturated stress to the deformation conditions. A physically-based Estrin–Mecking (EM) constitutive equation was then employed to model the flow behavior in the work hardening (WH)-dynamic recovery (DRV) regime. Finally, the Avrami equation to describe the evolution of the softening fraction was coupled to the EM model to extend the model to the dynamic recrystallization region. The results show that the model which is based on the stress-strain and work hardening behavior accurately predicts the flow behavior of this microstructurally complex steel. Keywords: Duplex stainless steel, Dynamic recrystallization, Constitutive equation, Estrin–Mecking equation, Avrami equation

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01bfb5086b363891e949f4e6ec43796e
https://doi.org/10.1016/j.matdes.2016.05.118