Last Mile Delivery with Autonomous Shuttles: ROS-based Integration of Smart Cargo Cages

被引:0
|
作者
Ochs, Sven [1 ]
Lambing, Nico [1 ]
Abouelazm, Ahmed [1 ]
Zofka, Marc Rene [1 ]
Zoellner, J. Marius [1 ,2 ]
机构
[1] FZI Res Ctr Informat Technol, Dept Tech Cognit Syst, D-76131 Karlsruhe, Germany
[2] Karlsruhe Inst Technol KIT, Karlsruhe, Germany
来源
2024 35TH IEEE INTELLIGENT VEHICLES SYMPOSIUM, IEEE IV 2024 | 2024年
关键词
OPTIMIZATION; VEHICLES; IMPACTS; PEOPLE;
D O I
10.1109/IV55156.2024.10588467
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With consistently increasing amounts of transported goods, autonomous cargo transport has gained increasing interest as a potential solution. In addition to reliable autonomous driving functions, Autonomous cargo transport requires a wide range of additional software and hardware components to ensure a safe and efficient transport of cargo as well as a pleasant user experience for the customers. This work presents a general concept for an autonomous and flexible cargo transport system, targeting point-to-point transports in the range of the typical last mile. The proposed concept provides flexibility for demand-responsive passenger transport as a mixed cargo-passenger transport solution. Furthermore, the proposed concept is realized through designing a removable cargo hold with electronic locks, and software modules such as a Booking App, a Scanner App, and a central backend. The implementation was developed, deployed in an autonomous shuttle, and extensively tested in a peri-urban quarter of the Test Area Autonomous Driving Baden-Wurttemberg.
引用
收藏
页码:2923 / 2929
页数:7
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