An autonomous vehicle platform for parcel delivery

Yangzesheng Lu; Yuxiang  Liu; Qinglei Bu; Quan Zhang; Eng Gee Lim

doi:10.1109/ICAC57885.2023.10275203

An autonomous vehicle platform for parcel delivery

Yangzesheng Lu, Yuxiang Liu, Qinglei Bu, Quan Zhang, Eng Gee Lim

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

Due to its affordability, adaptability, and ease of deployment, autonomous freight vehicles are gaining popularity and offering creative solutions for last-mile distribution, transport from the nearest distribution hub to final destination. The design of a small, autonomous vehicle that can operate in both indoor and outdoor settings named “sidewalk robot” is the purpose of this study. The developed vehicle applies modular design. Its steering chassis integrates the ROS2 framework with autonomous algorithms like Cartographer mapping and Navigation2, using odometers, an IMU, LiDAR, and cameras for ambient awareness. The vehicle's navigation abilities based on the real-time map are encouraging. The testing results show the vehicle's promising potential, which provide technological guidance for projects of a similar nature.

Original language	English
Title of host publication	Proceedings of the 28 th IEEE International Conference on Automation and Computing (ICAC2023)
DOIs	https://doi.org/10.1109/ICAC57885.2023.10275203
Publication status	Published - 2023

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@inproceedings{34aec3e7c397446ead5a1925edb7588c,

title = "An autonomous vehicle platform for parcel delivery",

abstract = "Due to its affordability, adaptability, and ease of deployment, autonomous freight vehicles are gaining popularity and offering creative solutions for last-mile distribution, transport from the nearest distribution hub to final destination. The design of a small, autonomous vehicle that can operate in both indoor and outdoor settings named “sidewalk robot” is the purpose of this study. The developed vehicle applies modular design. Its steering chassis integrates the ROS2 framework with autonomous algorithms like Cartographer mapping and Navigation2, using odometers, an IMU, LiDAR, and cameras for ambient awareness. The vehicle's navigation abilities based on the real-time map are encouraging. The testing results show the vehicle's promising potential, which provide technological guidance for projects of a similar nature.",

author = "Yangzesheng Lu and Yuxiang Liu and Qinglei Bu and Quan Zhang and Lim, {Eng Gee}",

year = "2023",

doi = "10.1109/ICAC57885.2023.10275203",

language = "English",

booktitle = "Proceedings of the 28 th IEEE International Conference on Automation and Computing (ICAC2023)",

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AU - Lu, Yangzesheng

AU - Liu, Yuxiang

AU - Bu, Qinglei

AU - Zhang, Quan

AU - Lim, Eng Gee

PY - 2023

Y1 - 2023

N2 - Due to its affordability, adaptability, and ease of deployment, autonomous freight vehicles are gaining popularity and offering creative solutions for last-mile distribution, transport from the nearest distribution hub to final destination. The design of a small, autonomous vehicle that can operate in both indoor and outdoor settings named “sidewalk robot” is the purpose of this study. The developed vehicle applies modular design. Its steering chassis integrates the ROS2 framework with autonomous algorithms like Cartographer mapping and Navigation2, using odometers, an IMU, LiDAR, and cameras for ambient awareness. The vehicle's navigation abilities based on the real-time map are encouraging. The testing results show the vehicle's promising potential, which provide technological guidance for projects of a similar nature.

AB - Due to its affordability, adaptability, and ease of deployment, autonomous freight vehicles are gaining popularity and offering creative solutions for last-mile distribution, transport from the nearest distribution hub to final destination. The design of a small, autonomous vehicle that can operate in both indoor and outdoor settings named “sidewalk robot” is the purpose of this study. The developed vehicle applies modular design. Its steering chassis integrates the ROS2 framework with autonomous algorithms like Cartographer mapping and Navigation2, using odometers, an IMU, LiDAR, and cameras for ambient awareness. The vehicle's navigation abilities based on the real-time map are encouraging. The testing results show the vehicle's promising potential, which provide technological guidance for projects of a similar nature.

U2 - 10.1109/ICAC57885.2023.10275203

DO - 10.1109/ICAC57885.2023.10275203

M3 - Conference Proceeding

BT - Proceedings of the 28 th IEEE International Conference on Automation and Computing (ICAC2023)

ER -

An autonomous vehicle platform for parcel delivery

Abstract

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