TY - CHAP AU - Kiss, Domokos ED - Dunaev, Dmitriy ED - Vajk, István TI - RTR-C: Curvature-Bounded Sampling-Based Planning for Cars T2 - Proceedings of the Automation and Applied Computer Science Workshop 2021 PB - Budapesti Műszaki és Gazdaságtudományi Egyetem CY - Budapest SN - 9789634218524 PY - 2021 SP - 123 EP - 134 PG - 12 UR - https://m2.mtmt.hu/api/publication/32081043 ID - 32081043 LA - English DB - MTMT ER - TY - JOUR AU - Balogh, Attila AU - Domokos, András AU - Farkas, Balázs AU - Farkas, Attila AU - Rapi, Zsolt AU - Kiss, Domokos AU - Nyiri, Zoltán AU - Eke, Zsuzsanna AU - Szarka, Györgyi Éva AU - Örkényi, Róbert Zoltán AU - Mátravölgyi, Béla AU - Faigl, Ferenc AU - Marosi, György AU - Nagy, Zsombor Kristóf TI - Continuous end-to-end production of solid drug dosage forms: Coupling flow synthesis and formulation by electrospinning JF - CHEMICAL ENGINEERING JOURNAL J2 - CHEM ENG J VL - 350 PY - 2018 SP - 290 EP - 299 PG - 10 SN - 1385-8947 DO - 10.1016/j.cej.2018.05.188 UR - https://m2.mtmt.hu/api/publication/3381954 ID - 3381954 N1 - Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, Budapest, 1111, Hungary Department of Automation and Applied Informatics, Budapest University of Technology and Economics, Budapest, 1117, Hungary Joint Research and Training Laboratory on Separation Techniques, Eötvös Loránd University, Budapest, 1117, Hungary Polymer Chemistry Research Group, Research Centre for Natural Sciences, Hungarian Academy, Budapest, 1117, Hungary Cited By :44 CODEN: CMEJA Correspondence Address: Balogh, A.; Department of Organic Chemistry and Technology, Hungary; email: balogh.attila@mail.bme.hu Funding details: TÁMOP-4.2.1/B-09/1/KMR-2010-0002 Funding details: Hungarian Scientific Research Fund, OTKA, FIEK_16-1-2016-0007, K-112644, PD-121051 Funding details: Magyar Tudományos Akadémia, MTA Funding text 1: This work was supported by the New Széchenyi Plan (project ID: TÁMOP-4.2.1/B-09/1/KMR-2010-0002), OTKA grants K-112644, PD-121051, FIEK_16-1-2016-0007, and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences . LA - English DB - MTMT ER - TY - JOUR AU - Kiss, Domokos AU - Tevesz, Gábor TI - Autonomous Path Planning for Road Vehicles in Narrow Environments: An Efficient Continuous-Curvature Approach JF - JOURNAL OF ADVANCED TRANSPORTATION J2 - J ADV TRANSPORT VL - 2017 PY - 2017 SN - 0197-6729 DO - 10.1155/2017/2521638 UR - https://m2.mtmt.hu/api/publication/3283249 ID - 3283249 N1 - Funding Agency and Grant Number: New Szechenyi Plan [TAMOP-4.2.1/B-09/1/KMR-2010-0002] Funding text: This work is connected to the scientific program of the "Development of Quality-Oriented and Harmonized R + D + I Strategy and Functional Model at BME" project. This project is supported by the New Szechenyi Plan (Project ID: TAMOP-4.2.1/B-09/1/KMR-2010-0002). LA - English DB - MTMT ER - TY - CHAP AU - Kiss, Domokos AU - Papp, Dávid ED - Szakál, Anikó TI - Effective Navigation in Narrow Areas: A Planning Method for Autonomous Cars T2 - 2017 IEEE 15TH INTERNATIONAL SYMPOSIUM ON APPLIED MACHINE INTELLIGENCE AND INFORMATICS (SAMI) PB - IEEE CY - Budapest SN - 9781509056552 PY - 2017 SP - 423 EP - 429 PG - 7 DO - 10.1109/SAMI.2017.7880346 UR - https://m2.mtmt.hu/api/publication/3184325 ID - 3184325 N1 - Cited By :14 Export Date: 16 February 2023 AB - Development of driverless road vehicles is one of the most active research areas of robotics today. Path planning among obstacles is one of the challenging problems to be solved in order to achieve autonomous navigation. In this paper we present a geometric path planning approach for car-like robots, intended for generating good quality paths even in cluttered environments containing narrow areas. The presented planner is designed to cope with situations which need nontrivial maneuvering between obstacles. The resulting paths are similar to those a human driver would find and have continuous curvature profile, which makes them appropriate for application on real cars. A comparative analysis of our method with possible alternatives in the literature is presented to illustrate its effectiveness regarding path quality and computation time. LA - English DB - MTMT ER - TY - CHAP AU - Sreekrishna, Pandi AU - Frank, H P Fitzek AU - Christopher, Lehmann AU - David, Nophut AU - Kiss, Domokos AU - Kovács, Viktor AU - Nagy, Ákos AU - Csorvási, Gábor AU - Miklós, Tóth AU - Rajacsics, Tamás AU - Charaf, Hassan AU - Rainer, Liebhart TI - Joint Design of Communication and Control for Connected Cars in 5G Communication Systems T2 - 59th IEEE Global Communications Conference, GLOBECOM 2016 PB - IEEE Press CY - New York, New York SN - 1509013288 PY - 2016 PG - 7 DO - 10.1109/GLOCOMW.2016.7848940 UR - https://m2.mtmt.hu/api/publication/3192288 ID - 3192288 AB - This paper is advocating for joint design of communication and control in cyber physical systems, especially self driving automobiles, exploiting adaptive and next generation networking concepts such as mobile edge clouds in 5G communication systems. In this paper, we present our '5G connected-cars' testbed that was demonstrated in multiple international events including the Mobile World Congress, Barcelona in 2016. It constitutes a complete network architecture and cloud software services that facilitates custom built miniature cars to run autonomously on a track with an intersection without collisions by using hybrid car- to-car and car-to-infrastructure communication. We tackle the latency problem in classical connected cyber physical systems by the use of mobile edge cloud in the full blown emulated 5G air interface in the cmWave band in Nokia Airframe. Finally, presenting some measurements from the testbed, we advocate for a dedicated 5G air interface for reliable and scalable steering and control, as opposed to the use of ISM bands such as IEEE802.11P. LA - English DB - MTMT ER - TY - CHAP AU - Kiss, Domokos AU - Csorvási, Gábor AU - Nagy, Ákos ED - Ondřej, Ryšavý ED - Miroslav, Popović ED - Valentino, Vranić TI - A Planning Method to Obtain Good Quality Paths for Autonomous Cars T2 - 4th Eastern European Regional Conference on the Engineering of Computer Based Systems (ECBS-EERC) 2015 PB - IEEE CY - New York, New York SN - 9781467379670 PY - 2015 SP - 104 EP - 110 PG - 7 DO - 10.1109/ECBS-EERC.2015.24 UR - https://m2.mtmt.hu/api/publication/2934220 ID - 2934220 N1 - Cited By :3 Export Date: 16 February 2023 LA - English DB - MTMT ER - TY - CHAP AU - Csorvási, Gábor AU - Nagy, Ákos AU - Kiss, Domokos ED - Ivo, Petras ED - Igor, Podlubny ED - Jan, Kacur ED - Vásárhelyi, József TI - RTR+C*CS: An Effective Geometric Planner for Car-like Robots T2 - Proceedings of the 16th International Carpathian Control Conference PB - IEEE CY - Miskolc SN - 9781479973699 PY - 2015 SP - 85 EP - 90 PG - 6 DO - 10.1109/CarpathianCC.2015.7145051 UR - https://m2.mtmt.hu/api/publication/2929775 ID - 2929775 LA - English DB - MTMT ER - TY - CHAP AU - Nagy, Ákos AU - Csorvási, Gábor AU - Kiss, Domokos ED - Szakál, Anikó TI - Path Planning and Control of Differential and Car-like Robots in Narrow Environments T2 - 2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics PB - IEEE Hungary Section CY - Herlany SN - 9781479982219 PY - 2015 SP - 103 EP - 108 PG - 6 DO - 10.1109/SAMI.2015.7061856 UR - https://m2.mtmt.hu/api/publication/2823568 ID - 2823568 LA - English DB - MTMT ER - TY - CONF AU - Kiss, Domokos AU - Tevesz, Gábor TI - The RTR Path Planner for Differential Drive Robots T2 - Proceedings of the 16th international workshop on computer science and information technologies PB - Ufa State Aviation Technical University (USATU) PY - 2014 SP - 1 EP - 6 PG - 6 UR - https://m2.mtmt.hu/api/publication/2823564 ID - 2823564 LA - English DB - MTMT ER - TY - CHAP AU - Kiss, Domokos AU - Tevesz, Gábor ED - Petráš, Ivo ED - Podlubny, Igor ED - Kačur, Ján ED - Farana, Radim TI - A Steering Method for the Kinematic Car using C*CS Paths T2 - 2014 15th International Carpathian Control Conference (ICCC) PB - IEEE CY - New York, New York SN - 9781479935284 PY - 2014 SP - 227 EP - 232 PG - 6 DO - 10.1109/CarpathianCC.2014.6843602 UR - https://m2.mtmt.hu/api/publication/2699111 ID - 2699111 AB - A steering method for local path generation of car-like robots is presented in this paper. It is shown that in the absence of obstacles there are infinitely many solutions between two arbitrary configurations in the form of C*CS paths. This property facilitates the application of this class of paths in global planning algorithms where collisions with obstacles have to be avoided. In addition, we show that the steering method based on C*CS paths satisfies the topological property, hence a complete path planning algorithm can be constructed based on it. LA - English DB - MTMT ER -