<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Masahiro Yamaura</style></author><author><style face="normal" font="default" size="100%">Nikos Arechiga</style></author><author><style face="normal" font="default" size="100%">Shinichi Shiraishi</style></author><author><style face="normal" font="default" size="100%">Scott Eisele</style></author><author><style face="normal" font="default" size="100%">Joseph Hite</style></author><author><style face="normal" font="default" size="100%">Neema, Sandeep</style></author><author><style face="normal" font="default" size="100%">Scott, Jason</style></author><author><style face="normal" font="default" size="100%">Theodore Bapty</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">ADAS Virtual Prototyping using Modelica and Unity Co-simulation  via OpenMETA</style></title><secondary-title><style face="normal" font="default" size="100%">Japanese Modelica Conference 2016</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2016</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">https://archive.isis.vanderbilt.edu/sites/default/files/yamaura.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">Linköping University Press</style></publisher><pub-location><style face="normal" font="default" size="100%">Tokyo, Japan</style></pub-location><abstract><style face="normal" font="default" size="100%">Automotive control systems, such as modern Advanced Driver Assistance Systems (ADAS), are becoming more complex and prevalent in the automotive industry. Therefore, a highly-efficient design and evaluation ethodology for automotive control system development is required. In this paper, we propose a closed-loop simulation framework that improves ADAS design and evaluation. The proposed simulation framework consists of four tools: Dymola, Simulink, OpenMETA and Unity 3D game engine. Dymola simulates vehicle dynamics models written in Modelica. Simulink is used for vehicle control software modeling. OpenMETA provides horizontal integration between design tools. OpenMETA also has the capability to improve design efficiency through the use of PET (Parametric Exploration Tool) and DSE (Design Space Exploration) tools. Unity provides the key functionality to enable interactive, or closed-loop ADAS simulation, which contains sensor models for ADAS, road environment models and provides visualization. </style></abstract></record></records></xml>