BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210625T193546Z UID:288A05A6-B682-4529-AFC8-3BAED848E2A8 DTSTART;TZID=US/Eastern:20210616T000500 DTEND;TZID=US/Eastern:20210620T235900 DESCRIPTION:Automated vehicle technologies are developing rapidly\, and pro mise to improve driving safety. While these advanced technologies offer po tential benefits to drivers\, uncertainty remains about efficacy and usabi lity when users interact with these systems. IEEE Fundamentals of Autonomo us Vehicle Technology is a program that covers foundational and practical applications of autonomous\, connected\, and intelligent vehicle technolog ies\, including:\n\n- An overview of current state-of-the-art systems\, de ep learning algorithms\, and other intelligent approaches that promise saf er and easier driving\n- Advanced insight into recent developments made in human-centered design in mixed traffic scenarios\n- In-depth case studies that demonstrate how to test\, evaluate\, and refine systems in this next era of automation\n- A comprehensive look ahead at how self-driving vehic les will impact day-to-day business and operations for academic\, corporat e\, and government organizations\n\nPlease register no later than May 31\, 2021 !\n\nThe course will be open between June 16 and June 30\, 2021 !\n\ nCo-sponsored by: Educational Activities Board of the IEEE\n\nAgenda: \nTh is course program includes the following courses:\n\n- Cooperation in Auto nomous Vehicles\n- Developing and Validating Control Systems for Connected and Automated Vehicles\n- Human Factors in Vehicle Automation\n- Intellig ent Control of Connected and Automated Vehicles\n- Object Visual Detection for Intelligent Vehicles\n- Object Visual Recognition for Intelligent Veh icles\n- Sensors for Autonomous Vehicles\n\nBaltimore\, Maryland\, United States\, Virtual: https://events.vtools.ieee.org/m/270242 LOCATION:Baltimore\, Maryland\, United States\, Virtual: https://events.vto ols.ieee.org/m/270242 ORGANIZER:bgramat@jhmi.edu SEQUENCE:4 SUMMARY:IEEE Guide to Autonomous Vehicle Technology (individual online cour se from the ILN) URL;VALUE=URI:https://events.vtools.ieee.org/m/270242 X-ALT-DESC:Description: <br /><p>Automated vehicle technologies are develop ing rapidly\, and promise to improve driving safety. While these advanced technologies offer potential benefits to drivers\, uncertainty remains abo ut efficacy and usability when users interact with these systems.&nbsp\;IE EE Fundamentals of Autonomous Vehicle Technology is a program that covers foundational and practical applications of autonomous\, connected\, and in telligent vehicle technologies\, including:</p>\n<ul>\n<li>An overview of current state-of-the-art systems\, deep learning algorithms\, and other in telligent approaches that promise safer and easier driving</li>\n<li>Advan ced insight into recent developments made in human-centered design in mixe d traffic scenarios</li>\n<li>In-depth case studies that demonstrate how t o test\, evaluate\, and refine systems in this next era of automation</li> \n<li>A comprehensive look ahead at how self-driving vehicles will impact day-to-day business and operations for academic\, corporate\, and governme nt organizations</li>\n</ul>\n<p><span style="color: #ff0000\;"><span styl e="text-decoration: underline\;"><strong>Please register no later than May 31\, 2021&nbsp\;</strong></span>!&nbsp\;</span></p>\n<p><span style="text -decoration: underline\; color: #ff0000\; font-size: 12pt\;"><strong> The course will be open between June 16 and June 30\, 2021 !</strong></span></ p><br /><br />Agenda: <br /><p><strong>This course program includes the fo llowing courses:</strong></p>\n<ul>\n<li>Cooperation in Autonomous Vehicle s</li>\n<li>Developing and Validating Control Systems for Connected and Au tomated Vehicles</li>\n<li>Human Factors in Vehicle Automation</li>\n<li>I ntelligent Control of Connected and Automated Vehicles</li>\n<li>Object Vi sual Detection for Intelligent Vehicles</li>\n<li>Object Visual Recognitio n for Intelligent Vehicles</li>\n<li>Sensors for Autonomous Vehicles</li>\ n</ul> END:VEVENT END:VCALENDAR