<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Han, Xingshuo</style></author><author><style face="normal" font="default" size="100%">Chen, Kangjie</style></author><author><style face="normal" font="default" size="100%">Zhou, Yuan</style></author><author><style face="normal" font="default" size="100%">Qiu, Meikang</style></author><author><style face="normal" font="default" size="100%">Chun Fan</style></author><author><style face="normal" font="default" size="100%">Yang Liu</style></author><author><style face="normal" font="default" size="100%">Zhang, Tianwei</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Unified Anomaly Detection Methodology for Lane-Following of Autonomous Driving Systems</style></title><secondary-title><style face="normal" font="default" size="100%">2021 IEEE Intl Conf on Parallel &amp;amp; Distributed Processing with Applications, Big Data &amp;amp; Cloud Computing, Sustainable Computing &amp;amp; Communications, Social Computing &amp;amp; Networking (ISPA/BDCloud/SocialCom/SustainCom)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">836–844</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>