TY - JOUR
T1 - The Role of the Hercules Autonomous Vehicle during the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation
AU - Liu, Tianyu
AU - Liao, Qing Hai
AU - Gan, Lu
AU - Ma, Fulong
AU - Cheng, Jie
AU - Xie, Xupeng
AU - Wang, Zhe
AU - Chen, Yingbing
AU - Zhu, Yilong
AU - Zhang, Shuyang
AU - Chen, Zhengyong
AU - Liu, Yang
AU - Xie, Meng
AU - Yu, Yang
AU - Guo, Zitong
AU - Li, Guang
AU - Yuan, Peidong
AU - Han, Dong
AU - Chen, Yuying
AU - Ye, Haoyang
AU - Jiao, Jianhao
AU - Yun, Peng
AU - Xu, Zhenhua
AU - Wang, Hengli
AU - Huang, Huaiyang
AU - Wang, Sukai
AU - Cai, Peide
AU - Sun, Yuxiang
AU - Liu, Yandong
AU - Wang, Lujia
AU - Liu, Ming
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China, under grant U1713211, Collaborative Research Fund by Research Grants Council Hong Kong, under Project C4063-18G, and HKUST-SJTU Joint Research Collaboration Fund, under project SJTU20EG03, awarded to Prof. Ming Liu.
PY - 2021/3
Y1 - 2021/3
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85100487581&partnerID=8YFLogxK
U2 - 10.1109/MRA.2020.3045040
DO - 10.1109/MRA.2020.3045040
M3 - Journal article
AN - SCOPUS:85100487581
SN - 1070-9932
VL - 28
SP - 48
EP - 58
JO - IEEE Robotics and Automation Magazine
JF - IEEE Robotics and Automation Magazine
IS - 1
M1 - 9340284
ER -