International Automobile Federation (FIA)Announce, will introduce computer vision technology at the upcoming Abu Dhabi F1 race, using artificial intelligence technology to help clarify whether drivers have violated regulations such as crossing the line when challenging the fastest lap record.
In the past, organizers typically relied on manual review to determine if drivers had committed potential violations during the race, such as determining whether they had crossed the white line, thereby assessing whether a stoppage penalty was warranted. However, due to the often complex conditions on the track, sometimes the driver's violation could be due to pressure from opponents rather than deliberate violation, requiring considerable manpower and time to determine whether a driver had committed a deliberate violation.
In order to avoid discrepancies in judgment caused by manual review, the International Automobile Federation stated that it will introduce artificial intelligence technology from the upcoming Abu Dhabi F1 race to help clarify whether the driver has violated the rules through computer vision. At the same time, it can also avoid the possibility that too many details may affect the judgment results of previous manual reviews, leading to controversy in the final ruling.
However, the International Automobile Federation emphasized that just like using computer vision to check whether a patient has cancer, it is using artificial intelligence to filter out up to 80% of non-cancerous cases, and the remaining 20% is judged by professional medical personnel to determine whether it is cancer. It is expected that the number of suspected violations in subsequent races will be significantly reduced from about 1200 in a single race to only 50, mainly to eliminate violations that obviously do not require human review, and the remaining cases will be judged by professionals.
As for future development plans, the International Automobile Federation hopes to use artificial intelligence technology to achieve the goal of automated inspections of race violations, allowing the race to be conducted in a more efficient manner while also significantly reducing disputes in the review results.
