Project: #96 F1/10 Autonomous Racing Course and Competition Progress Report - Reporting Period Ending: Sept. 30, 2018 Principal Investigator: Rahul Mangharam Status: Active Start Date: July 1, 2017 End Date: June 30, 2021 Research Type: None Grant Type: Education Grant Program: FAST Act - Mobility National (2016 - 2022) Grant Cycle: 2017 Mobility21 UTC Progress Report (Last Updated: Nov. 30, 2018, 7:59 p.m.) % Project Completed to Date: 100 % Grant Award Expended: 100 % Match Expended & Document: 100 USDOT Requirements Accomplishments We completed the course development, open-source software and reference hardware platform for the racecar. Following this, we successfully conducted the 2nd F1/10 Autonomous Racing Competition in Porto, Portugal (co-located with Cyber-Physical Systems Week) on April 10-11, 2018. The competition was attended by over 200 people with 9 participating teams from Korea, Czech Republic, Sweden, University of Connecticut, University of Virginia, University of Modena, etc. We conducted tutorials at CPSweek conferences 2018, ACM Sensys conference, and Embedded Systems Week conferences in 2017 and 2018. These events were very well attended with over 120 persons each day. Impacts We are hosting the competition twice a year in two conference venues - Cyber-Physical Systems Week (April) and Embedded Systems Week (October). This exposes us to over 800 people. The platform has been adopted by over 32 universities and companies who are actively doing research on autonomous vehicles - perception, planning, control, and coordination. The F1/10 autonomous racing car platform has been adopted by over 45 academic institutions, several major corporations and automakers (Toyota InfoTech, GM R&D, Intel, etc.). The course has been taught in University of Virginia, University of Pennsylvania, UT Austin, Clemson University. Other Website - http://f1tenth.org The website has details on how to Build, Drive and Race the autonomous vehicle platform. It is a collaborative and open-source effort with several university and industry partners. The course has been taught in University of Virginia, UT Austin, Clemson University, and several others. The competition participation is increasing at a very good rate and the community interest in joining the competition is very high. We are supplying new teams with a power-distribution board and a chassis, so they can get started in less than a day. Outcomes New Partners Nvidia autonomous driving University of Modena, Italy University of Porto, Portugal University of Virginia Clemson University UT Austin Oregon State University Intel Issues Project is has completed this phase and it ready to begin the next phase.