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The rapid evolution of autonomous vehicles (AVs) has significantly influencedglobal transportation systems. In this context, we present ``Snow Lion'', anautonomous shuttle meticulously designed to revolutionize on-campustransportation, offering a safer and more efficient mobility solution forstudents, faculty, and visitors. The primary objective of this research is toenhance campus mobility by providing a reliable, efficient, and eco-friendlytransportation solution that seamlessly integrates with existing infrastructureand meets the diverse needs of a university setting. To achieve this goal, wedelve into the intricacies of the system design, encompassing sensing,perception, localization, planning, and control aspects. We evaluate theautonomous shuttle's performance in real-world scenarios, involving a1146-kilometer road haul and the transportation of 442 passengers over atwo-month period. These experiments demonstrate the effectiveness of our systemand offer valuable insights into the intricate process of integrating anautonomous vehicle within campus shuttle operations. Furthermore, a thoroughanalysis of the lessons derived from this experience furnishes a valuablereal-world case study, accompanied by recommendations for future research anddevelopment in the field of autonomous driving.

Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle "Snow Lion''