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Standards Association","2025-09-04T14:58:21.566Z","2025-09-04T14:58:23.567Z","2025-09-04T14:58:23.554Z","100",{"id":979,"name":980,"alternativeText":13,"caption":13,"width":981,"height":981,"formats":982,"hash":993,"ext":845,"mime":848,"size":994,"url":995,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":996,"updatedAt":996},116,"IEEESAlogovert6501 (1).jpg",650,{"small":983,"thumbnail":988},{"ext":845,"url":984,"hash":985,"mime":848,"name":986,"path":13,"size":987,"width":600,"height":600},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/small_IEEES_Alogovert6501_1_80d0098a50.jpg","small_IEEES_Alogovert6501_1_80d0098a50","small_IEEESAlogovert6501 (1).jpg",18.18,{"ext":845,"url":989,"hash":990,"mime":848,"name":991,"path":13,"size":992,"width":572,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_IEEES_Alogovert6501_1_80d0098a50.jpg","thumbnail_IEEES_Alogovert6501_1_80d0098a50","thumbnail_IEEESAlogovert6501 (1).jpg",4.45,"IEEES_Alogovert6501_1_80d0098a50",24.28,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/IEEES_Alogovert6501_1_80d0098a50.jpg","2025-09-04T14:57:36.799Z",{"id":998,"variation":29,"button":999},51,[1000],{"id":368,"label":884,"size":33,"color":34,"style":13,"icon":35,"iconPosition":36,"url":1001,"newWindow":8,"downloadable":13,"shape":13},"https://standards.ieee.org/","-57",{"pagination":1004},{"page":5,"pageSize":211,"pageCount":5,"total":126},{"id":181,"heading":323,"pageHeader":1006,"sections":1007},{"id":181,"description":13,"showPageHeader":8,"backgroundColor":59,"image":13},[1008],{"id":392,"__component":1009,"componentVariation":1010,"contactsVariation":1011,"styles":13,"header":13,"sessionsGroup":1012},"content.sessions","Sessions Base","Card Contact Full",[1013],{"id":399,"groupTitle":13,"sessions":1014},[1015,1069,1124],{"id":120,"session":1016},{"id":399,"title":1017,"teaser":1018,"body":55,"createdAt":1019,"updatedAt":1020,"publishedAt":1021,"url_path_id":1022,"contacts":1023,"url_path":1068},"Still an Open Problem -- Cracking the Code of AV Safety and Validation  ","\u003Cp style=\"text-align:justify;\">Automated vehicle validation is still the big unsolved puzzle. We don't yet have a single method, metric, or standard that can prove an automated car is safe enough for the open road. Just piling on test miles won't cut it. Rare events are too rare, the real world is too messy, and software – and the world keeps changing after vehicles are deployed. &nbsp;\u003C/p>\u003Cp style=\"text-align:justify;\">The keynote will unpack why this problem remains open — from statistical limits and simulation credibility to shifting operational design domains, machine learning brittleness, and the headaches of over-the-air updates and cyber threats. &nbsp;\u003C/p>\u003Cp style=\"text-align:justify;\">Instead of pretending there's a silver bullet, the talk lays out a layered approach: combine scenario-based testing, credible simulation, safety cases, and continuous monitoring once cars are in the wild. &nbsp;\u003C/p>\u003Cp style=\"text-align:justify;\">Most importantly, it will challenge the community with the open tasks — practical things we can actually work on together: building ODD schemas, creating rare-event testing benchmarks, stress-testing perception, agreeing on sim-to-real playbooks, and designing transparent reporting after deployment. &nbsp;\u003C/p>","2025-09-15T15:15:51.087Z","2025-09-15T15:15:53.006Z","2025-09-15T15:15:53.000Z","104",[1024],{"id":1025,"name":1026,"committee":13,"position":13,"affiliation":1027,"email":13,"biography":1028,"createdAt":1029,"updatedAt":1029,"url_path_id":1030,"contactPhoto":1031,"socialLinks":1064,"url_path":1067},44,"Jan Becker","Apex.AI","\u003Cp style=\"text-align:justify;\">Jan Becker is an OG of autonomous driving — if a car has ever tried to drive itself in the last three decades, chances are Jan has been somewhere in the mix. He's been building, testing, teaching, and debugging self-driving technology long before the world believed it was possible. From autonomous driving for vehicle testing in the nineties over prototyping level 2 ADAS in the early 2000s to wrenching on code for the Stanford Racing Team in the DARPA Urban Challenge to teaching the next generation of innovators at Stanford University (where he's lectured on autonomous driving since 2010), Jan has seen it all — and usually had the fix ready before anyone else knew it was broken. &nbsp;\u003C/p>\u003Cp style=\"text-align:justify;\">When he's not in the classroom or shaping the future of mobility, Jan is collecting hardware for his shelf. In 2016, Automotive News named him one of the “60 people driving the self-driving movement.” In 2024, he won MotorTrend's Software-Defined Vehicle Innovator of the Year and also snagged the prestigious Automotive News PACE Award. &nbsp;\u003C/p>\u003Cp style=\"text-align:justify;\">With a PhD in Control Engineering, plus master's degrees in Mechanical and Aerospace and Electrical Engineering and research in the Stanford AI Lab, Jan blends academic rigor with real-world grit. And while his résumé includes leadership roles at Bosch, Faraday Future, and now as CEO &amp; Co-Founder of Apex.AI, it's his decades of hands-on experience in autonomous driving that make him a true pioneer. Simply put: when it comes to self-driving cars, Jan isn't just riding shotgun on the future — he's been in the driver's seat since day one.&nbsp;\u003C/p>","2025-09-15T15:15:04.560Z","103",{"id":1032,"name":1033,"alternativeText":13,"caption":13,"width":1034,"height":1035,"formats":1036,"hash":1060,"ext":845,"mime":848,"size":1061,"url":1062,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":1063,"updatedAt":1063},117,"221026_ApexAI_JanBecker_0235.jpg",3763,2510,{"large":1037,"small":1043,"medium":1049,"thumbnail":1054},{"ext":845,"url":1038,"hash":1039,"mime":848,"name":1040,"path":13,"size":1041,"width":634,"height":1042},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/large_221026_Apex_AI_Jan_Becker_0235_d7eec2c412.jpg","large_221026_Apex_AI_Jan_Becker_0235_d7eec2c412","large_221026_ApexAI_JanBecker_0235.jpg",37.04,667,{"ext":845,"url":1044,"hash":1045,"mime":848,"name":1046,"path":13,"size":1047,"width":600,"height":1048},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/small_221026_Apex_AI_Jan_Becker_0235_d7eec2c412.jpg","small_221026_Apex_AI_Jan_Becker_0235_d7eec2c412","small_221026_ApexAI_JanBecker_0235.jpg",12.93,334,{"ext":845,"url":1050,"hash":1051,"mime":848,"name":1052,"path":13,"size":1053,"width":647,"height":600},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/medium_221026_Apex_AI_Jan_Becker_0235_d7eec2c412.jpg","medium_221026_Apex_AI_Jan_Becker_0235_d7eec2c412","medium_221026_ApexAI_JanBecker_0235.jpg",23.31,{"ext":845,"url":1055,"hash":1056,"mime":848,"name":1057,"path":13,"size":1058,"width":1059,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_221026_Apex_AI_Jan_Becker_0235_d7eec2c412.jpg","thumbnail_221026_Apex_AI_Jan_Becker_0235_d7eec2c412","thumbnail_221026_ApexAI_JanBecker_0235.jpg",4.59,234,"221026_Apex_AI_Jan_Becker_0235_d7eec2c412",453.22,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/221026_Apex_AI_Jan_Becker_0235_d7eec2c412.jpg","2025-09-15T15:14:17.676Z",[1065],{"id":162,"url":1066,"platform":49},"https://www.linkedin.com/in/janbecker23/","-60","-61",{"id":399,"session":1070},{"id":51,"title":1071,"teaser":1072,"body":55,"createdAt":1073,"updatedAt":1074,"publishedAt":1075,"url_path_id":1076,"contacts":1077,"url_path":1123},"Probabilistic Risk Assessment for SAE Level 3 Highway Driving","\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"background-color:rgb(255,255,255);color:rgb(34,34,34);font-family:Arial, Helvetica, sans-serif;\">BMW's SIFAD—Safety Integrity Framework for Automated Driving—supports the safe deployment of one of the first SAE Level 3 Automated Highway Driving Systems. Central to this is a probabilistic risk assessment combining Bayesian analysis, designed experiments, and large-scale field data to quantify uncertainties, model residual risks, and demonstrate a Positive Risk Balance within the V-Model. The talk will conclude with insights on extending this approach to the complexities of urban automated driving scenarios.\u003C/span>\u003C/p>","2025-08-13T14:13:06.886Z","2025-08-13T14:13:23.150Z","2025-08-13T14:13:23.107Z","94",[1078],{"id":1079,"name":1080,"committee":13,"position":13,"affiliation":1081,"email":13,"biography":1082,"createdAt":1083,"updatedAt":1083,"url_path_id":1084,"contactPhoto":1085,"socialLinks":1119,"url_path":1122},40,"Moritz Werling","BMW","\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"background-color:rgb(255,255,255);color:rgb(0,0,0);font-family:Arial, Helvetica, sans-serif;\">Moritz Werling is a Principal Engineer at BMW with over 20 years of experience in automated driving.&nbsp;During his doctoral studies at the Karlsruhe Institute of Technology (KIT), he focused on motion planning and control and spent part of his PhD as a visiting researcher at Stanford University. The results of his research have been implemented in numerous production applications.&nbsp;Since 2011, he has been working as a developer for automated driving at BMW AG. He has also been a lecturer on automated driving at KIT since 2015 and at the Technical University of Munich (TUM) since 2024. Since 2019, his work has focused on developing processes and methods for the design, verification, and validation of safe automated driving systems.\u003C/span>\u003C/p>","2025-08-13T14:12:39.332Z","93",{"id":1086,"name":1087,"alternativeText":13,"caption":13,"width":1088,"height":1089,"formats":1090,"hash":1115,"ext":1092,"mime":848,"size":1116,"url":1117,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":1118,"updatedAt":1118},113,"DSC_0766-1.JPG",4288,2848,{"large":1091,"small":1098,"medium":1104,"thumbnail":1110},{"ext":1092,"url":1093,"hash":1094,"mime":848,"name":1095,"path":13,"size":1096,"width":634,"height":1097},".JPG","https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/large_DSC_0766_1_be86251674.JPG","large_DSC_0766_1_be86251674","large_DSC_0766-1.JPG",41.59,664,{"ext":1092,"url":1099,"hash":1100,"mime":848,"name":1101,"path":13,"size":1102,"width":600,"height":1103},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/small_DSC_0766_1_be86251674.JPG","small_DSC_0766_1_be86251674","small_DSC_0766-1.JPG",13.96,332,{"ext":1092,"url":1105,"hash":1106,"mime":848,"name":1107,"path":13,"size":1108,"width":647,"height":1109},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/medium_DSC_0766_1_be86251674.JPG","medium_DSC_0766_1_be86251674","medium_DSC_0766-1.JPG",26.2,498,{"ext":1092,"url":1111,"hash":1112,"mime":848,"name":1113,"path":13,"size":1114,"width":908,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_DSC_0766_1_be86251674.JPG","thumbnail_DSC_0766_1_be86251674","thumbnail_DSC_0766-1.JPG",4.81,"DSC_0766_1_be86251674",819.51,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/DSC_0766_1_be86251674.JPG","2025-08-13T14:12:28.631Z",[1120],{"id":132,"url":1121,"platform":49},"https://www.linkedin.com/in/moritzwerling/","-52","-53",{"id":57,"session":1125},{"id":392,"title":1126,"teaser":1127,"body":55,"createdAt":1128,"updatedAt":1129,"publishedAt":1130,"url_path_id":1131,"contacts":1132,"url_path":1180},"Unlocking the Safety Case Fallacy for Automated Driving","\u003Cp style=\"text-align:justify;\">There is a broad consensus that the safety approvals for automated driving systems will be done through safety case development and assessment. The UN Regulation and the Global Technical Regulation for Automated Driving that is being developed currently have taken a Claims, Argument and Evidence (CAE) based approach to safety cases. Variety of national and international standards provide guidance on different aspects of safety case making it a “golden bullet” of safety. However, no standards or guidance documents provides engineering level guidance on both structure and content of a safety case. Most remain at a high level leaving subjective expert judgement as a means of interpretation.\u003C/p>\u003Cp style=\"text-align:justify;\">This talk will uncover the safety case fallacy. While the safety case concept is sound it is not robust enough as a high level safety case will enable organizations to gloss over nuances critical to ensuring safety of automated driving. This talk will introduce a CAE based structure for safety case called Assurance 2.0 will a detailed decomposition frameworks providing detailed guidance to both developers as well as authorities assessing the safety case.\u003C/p>\u003Cp style=\"text-align:justify;\">It is easy to do a safety case. It is relatively challenging to do a “good” and “robust” safety case. The ecosystem needs to the latter!\u003C/p>","2025-08-19T16:47:29.169Z","2025-09-24T19:31:46.855Z","2025-08-19T16:47:30.827Z","98",[1133],{"id":883,"name":1134,"committee":13,"position":13,"affiliation":1135,"email":13,"biography":1136,"createdAt":1137,"updatedAt":1138,"url_path_id":1139,"contactPhoto":1140,"socialLinks":1174,"url_path":1179},"Siddartha Khastgir","University of Warwick","\u003Cp style=\"text-align:justify;\">Professor Siddartha Khastgir is the Head of Safe Autonomy at WMG, University of Warwick. With a research portfolio spanning over £17 million, he leads several collaborative R&amp;D projects with over 100 industrial and academic partners nationally and internationally. His research focuses on AI Safety and proving safety of autonomous transport across land, aviation and marine domains. He has been appointed as a member of the UK Govt’s Department for Transport’s Science Advisory Council. He is also a member of the Expert Advisory Panel for Automated Vehicle Implementation Programme for the UK Government.\u003C/p>\u003Cp style=\"text-align:justify;\">Siddartha is also the Director of Partners for Automated Vehicle Education United Kingdom (PAVE UK). PAVE UK is the country’s first initiative to deliver inclusive and accurate public awareness and education programmes to enable the public's trust and acceptance of Automated Vehicles.\u003C/p>\u003Cp style=\"text-align:justify;\">Siddartha represents the UK on various international standardisation and regulatory committees, including ISO, SAE and United Nations Economic Commission for Europe (UNECE) on safety of self-driving vehicles. He has served as the lead author for three ISO standards.\u003C/p>\u003Cp style=\"text-align:justify;\">He has received numerous national and international awards for his research contributions, including the prestigious UKRI Future Leaders Fellowship and a Forbes 30 Under 30 Europe list maker.\u003C/p>\u003Cp style=\"text-align:justify;\">Prior to joining WMG, Siddartha was with FEV GmbH in Germany, leading automotive software development series production projects. He has a PhD from WMG, University of Warwick, UK, and a B.Tech from Indian Institute of Technology (IIT) Kharagpur in Mechanical Engineering.\u003Cbr>&nbsp;\u003C/p>","2025-08-19T16:46:53.721Z","2025-08-19T16:50:02.534Z","97",{"id":1141,"name":1142,"alternativeText":13,"caption":13,"width":1143,"height":1144,"formats":1145,"hash":1170,"ext":845,"mime":848,"size":1171,"url":1172,"previewUrl":13,"provider":25,"provider_metadata":13,"createdAt":1173,"updatedAt":1173},115,"_LYF8317-2.jpg",2048,1463,{"large":1146,"small":1152,"medium":1158,"thumbnail":1164},{"ext":845,"url":1147,"hash":1148,"mime":848,"name":1149,"path":13,"size":1150,"width":634,"height":1151},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/large_LYF_8317_2_770854ba84.jpg","large_LYF_8317_2_770854ba84","large__LYF8317-2.jpg",69.48,714,{"ext":845,"url":1153,"hash":1154,"mime":848,"name":1155,"path":13,"size":1156,"width":600,"height":1157},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/small_LYF_8317_2_770854ba84.jpg","small_LYF_8317_2_770854ba84","small__LYF8317-2.jpg",18.65,357,{"ext":845,"url":1159,"hash":1160,"mime":848,"name":1161,"path":13,"size":1162,"width":647,"height":1163},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/medium_LYF_8317_2_770854ba84.jpg","medium_LYF_8317_2_770854ba84","medium__LYF8317-2.jpg",38.78,536,{"ext":845,"url":1165,"hash":1166,"mime":848,"name":1167,"path":13,"size":1168,"width":1169,"height":572},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/thumbnail_LYF_8317_2_770854ba84.jpg","thumbnail_LYF_8317_2_770854ba84","thumbnail__LYF8317-2.jpg",4.92,219,"LYF_8317_2_770854ba84",351.77,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iavvc25/LYF_8317_2_770854ba84.jpg","2025-08-19T16:44:37.857Z",[1175,1177],{"id":181,"url":1176,"platform":49},"https://www.linkedin.com/in/siddkhastgir/",{"id":168,"url":1178,"platform":922},"https://siddkhastgir.com/","-55","-56",{"data":1182,"meta":1183},{"id":181,"heading":323,"createdAt":328,"updatedAt":329,"publishedAt":330,"url_path_id":331,"url_path":324,"contentType":92},{},1778852512784]