This letter is the second report from a series of IEEE TIV's Decentralized and Hybrid Workshops (DHWs) on Intelligent Vehicles for Education (IV4E). It outlines the prospect of Autonomous One, a future autonomous racing competition modeled after Formula One to advance IV4E by pushing the boundaries of artificial intelligence. Existing autonomous races are facing challenges, such as compromised fairness, low participant enthusiasm, and limited spectator engagement, thereby reducing the educational value of the races. To prevent similar flaws in Autonomous One, our focus lies in setting governance rules from an organizer's perspective. During these DHWs, we analyzed the rules of existing autonomous races before providing rule-making suggestions for Autonomous One. To improve fairness, we recommend a balanced scoring system with rigorous monitoring of participating teams' performance. To discourage consistent victories by a single team, we propose that leading teams share their source codes, thereby setting the championship-level performance as the baseline in the next season and accelerating the evolution of all participating teams' abilities. For enhancing suspense and spectator interest, an on-site adaptive rewarding scheme should be deployed to create thrilling turnarounds. Our strategies aim to maintain fairness, increase spectator interest, inspire competitiveness, and ultimately contribute to the advancement of IV4E.
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