  The rapid evolution of autonomous vehicles (AVs) has significantly influenced
global transportation systems. In this context, we present ``Snow Lion'', an
autonomous shuttle meticulously designed to revolutionize on-campus
transportation, offering a safer and more efficient mobility solution for
students, faculty, and visitors. The primary objective of this research is to
enhance campus mobility by providing a reliable, efficient, and eco-friendly
transportation solution that seamlessly integrates with existing infrastructure
and meets the diverse needs of a university setting. To achieve this goal, we
delve into the intricacies of the system design, encompassing sensing,
perception, localization, planning, and control aspects. We evaluate the
autonomous shuttle's performance in real-world scenarios, involving a
1146-kilometer road haul and the transportation of 442 passengers over a
two-month period. These experiments demonstrate the effectiveness of our system
and offer valuable insights into the intricate process of integrating an
autonomous vehicle within campus shuttle operations. Furthermore, a thorough
analysis of the lessons derived from this experience furnishes a valuable
real-world case study, accompanied by recommendations for future research and
development in the field of autonomous driving.
