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Design methodology of advanced driver assistance systems for urban electric vehicle

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Th e article presents the design methodology of Advanced Driver Assistance Systems (ADAS) for electric vehicles. As an example the Blind Spot Information System (BLIS) is described, which was created for an urban electric car - Bytel, the vehicle constructed within the Smart Power project. A specialized soft ware was used, TASS PreScan, the soft ware created for the purposes of advance driver’s assistance systems design. Th e article discusses the following stages of ADAS system creation - the needs analysis, the designing and the model testing. Within the needs analysis there are such subcategories as the needs defi nition, the project goals and the project planning . Th e designing part focuses on two aspects: choosing the proper tool for designing and testing ADAS model and creating the system model, including data processing system and control system. Th e model testing section includes test planning and testing procedure description. Th e article ends with conclusions and future directions of the proposed model development
Rocznik
Strony
25--29
Opis fizyczny
Bibliogr. 17 poz.
Twórcy
  • SAFETY ENGINEERING RESEARCH S.C. KONARZEWSKI, KIETLIŃSKI, PĘDZISZ, Królewicza Jakuba 13A, 02-956 Warsaw, Poland
autor
  • SILESIAN UNIVERSITY OF TECHNOLOGY, Konarskiego 18A, 44-100 Gliwice, Poland
Bibliografia
  • [1] AMMON D., SCHIEHLEN W.: Advanced road vehicles: Control technologies, driver assistance. In Schiehlen W. (ed.): Dynamical Analysis of Vehicle Systems. Theoretical Foundations and Advanced Applications, pp. 283-304. Springer, Wien, New York (2009)
  • [2] BELBACHIR A., et al.: Simulation-Driven Validation of Advanced Driving-Assistance Systems. Transport Research Arena – Europe 2012, vol. 48, pp. 1205–1214 (2012)
  • [3] CHOLEWA A., et al.: Electric Vehicle for the Students’ Shell Eco-Marathon Competition. Design of the Car and Telemetry System, in Mikulski J. (ed) Telematics in the Transport Environment, Springer Verlag, Berlin Heidelberg, CCIS 329, pp. 26-33 (2012)
  • [4] CICHOŃSKI K., et al.: The comparative study of drivetrain of high-performance electric vehicle. In: Diagnostyka 2014, vol. 15 no. 2, pp. 65-70 (2014)
  • [5] OTRĘBSKA M., et. al.: Designing safety systems for electric race car, in Mikulski J. (ed) Activities of Transport Telematics, Springer Verlag, Berlin Heidelberg, CCIS 395, pp. 139-146, (2013)
  • [6] COŞKUN F., et al.: Vision System Based Lane Keeping Assistance Evaluated in a Hardware-in-the-Loop Simulator. In: ASME ESDA 2010, Engineering Systems Design and Analysis Conference, pp. 289-297. İ stanbul, Turkey (2010)
  • [7] FLOREZ S. A. R., et al.: Multi-modal object detection and localization for high integrity driving assistance. Machine Vision and Applications, December 2011. Springer-Verlag (2011)
  • [8] GIETELINK O.J., PLOEG J., DE SCHUTTER B.: Development of a driver information and warning system with vehicle hardware-in-the-loop simulations. In: Mechatronics, The Science of Intelligent Machines, An International Journal, A journal of IFAC, The International Federation of Automatic Control, vol. 19, issue 7, pp. 1091-1104. (2009)
  • [9] JEZIERSKA-KRUPA K, KRYSIAK M., SKARKA W.: Comparison of two versions of blind spot information systems in Bytel and MuSHELLka two race vehicles. In: Zesz. Nauk. Inst. Pojaz. PWarsz. 2014 z. 3/99, pp. 119-124 (2014)
  • [10] PRZYSTAŁKA P., et al.: Velocity Planning of an Electric Vehicle Using an Evolutionary Algorithm, in Mikulski J. (ed), Activities of Transport Telematics, Springer Verlag, Berlin Heidelberg, CCIS 395, pp. 171-177, (2013)
  • [11] Shell. Rules and regulations chapter 1., http://www.shell.com/global/environment-society/ecomarathon/for-participants/generalinformation/rules.html [date of access: April 20,2014]
  • [12] SKARKA W.: Application of numerical inverse model to determine the characteristic of electric race car. In: Tools and Methods of Competitive Engineering (TMCE) Symposium, pp. 263-274. Budapest, Hungary (2014)
  • [13] SKARKA W., et al.: Advanced driver assistance systems for electric race car. In: Tools and Methods of Competitive Engineering (TMCE) Symposium, pp. 1487-1494. Budapest, Hungary (2014)
  • [14] TARGOSZ M., SKARKA W., PRZYSTALKA P.: Simulation And Optimization Methodology Of Prototype Electric Vehicle. In: Proceedings of the 13th International Design Conference DESIGN 2014 ed: Marjanović D., Štorga M., Pavković N., Bojčetić N., pp. 1349 – 1360. Dubrovnik, Croatia (2014)
  • [15] TASS International. Prescan: Simulation of adas and active safety.
  • [16] https://www.tassinternational.com/prescan [date of access: April 20,2014]
  • [17] WUA B.-F., et al.: A vision-based blind spot warning system for daytime and nighttime driver assistance. In: Computers and Electrical Engineering 39, pp. 846–862 (2013)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c8dbd319-58c0-4198-b13c-158378adb2f5
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