Avoiding person-to-person transmission is an effective approach to control and prevent the covid-19 pandemic. Using an autonomous logistic vehicle to achieve contactless goods transportation could alleviate this issue. It can reduce the risk of virus transmission between the driver and customers. These demands have motivated researchers to develop the Hercules autonomous vehicle for contactless goods transportation during the COVID-19 pandemic. The vehicle is evaluated through real-world delivery tasks under various traffic conditions. The hardware system of the vehicle mainly consists of a fully functional drive-by-wire (DBW) chassis and autonomous driving-related devices. The electronic accessories control module includes some basic electronic accessories such as the vehicle’s lights and horns, which are controlled by the body control module (BCM). For the computation platform, the vehicle is equipped with an IPC that has an Intel i7-8700 CPU with six cores and 12 threads, 32-GB memory, and a 1050Ti NVIDIA graphics card. It is able to run deep learning-based algorithms.
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering