Autonomous Delivery Vehicle System Based on Multi-Sensor Data Fusion

With the rapid advancement of science and technology, people's yearning for a more convenient life has gradually become concrete, which has given rise to a huge logistics industry chain. At the same time, the ever-increasing labor costs have caused an urgent need for autonomous delivery vehicles. This paper presents the design and integration of an autonomous vehicle system for efficient indoor parcel delivery, addressing the challenges of navigating dynamic indoor environments. This vehicle system leverages a multi-sensor approach, integrating LiDAR, radar, Inertial Measurement Unit (IMU), GPS, and odometer data to provide comprehensive environmental perception and precise localization, which will contribute to the field by providing a practical application of autonomous vehicle technology in a constrained environment, offering a solution for the logistics industry's indoor delivery challenges.