As autonomous guided vehicles (AGVs) become increasingly integral to modern logistics, ensuring their safety, precision, and adaptability is paramount. Through intelligent fusion algorithms, AGVs gain a comprehensive understanding of dynamic environments, enabling improved obstacle detection, localization, and decision-making. We examine key technical approaches, implementation strategies, and real-world benefits, outlining how multi-sensor fusion paves the way for safer, smarter autonomous logistics operations.