During the period from August 17th to 19th, in the culmination of the 18th National College Student Intelligent Vehicle Competition, numerous teams representing the College of Intelligent Systems Science and Engineering—namely Jihaizhuifeng and Jihaizhineng—achieved remarkable success. They clinched four national first prizes across various categories in the national finals: the single round group, complete model group, aerospace logistics group, and Baidu Intelligent group. Additionally, they secured two national second prizes in the three round camera group and iFlytek Creative group. Notably, our team earned second place in Baidu's complete model group. This nationwide competition garnered participation from over 50,000 college students spanning more than 500 universities and 3,138 teams hailing from eight major regions.

The Baidu Complete Model Group stands as the most intricate track within the realm of intelligent vehicle racing tasks. Emulating a smart agriculture scenario, this track simulates intelligent vehicle operations during the harvest season. Vehicles are tasked not only with navigating regular roads but also maneuvering through specialized zones including vehicle maintenance areas, farmland sectors, zones prone to animal infestations, ramps, and grain storage areas. The identification and recognition of track elements in car models demand the utilization of AI computing cards for inference and prediction. Additionally, the Baidu deep learning platform is employed for model design and training. Noteworthy is the independent creation by our school's Jihai Zhuifeng No. 7 team of a vehicle model motion control circuit board based on a domestic microcontroller. They autonomously completed software development within the model, thus capably accomplishing various tasks set forth by the competition.