Open Access
Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
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Article Number | 04013 | |
Number of page(s) | 5 | |
Section | Modern Logistics Management and Transportation Economic Analysis | |
DOI | https://doi.org/10.1051/e3sconf/202451204013 | |
Published online | 10 April 2024 |
- Abosuliman, S.S., Almagrabi, A.O. Routing and scheduling of intelligent autonomous vehicles in industrial logistics systems. Soft Comput 25, 11975–11988 (2021). [CrossRef] [Google Scholar]
- Wahrmann, D., Hildebrandt, AC., Schuetz, C. et al. An Autonomous and Flexible Robotic Framework for Logistics Applications. J Intell Robot Syst 93, 419–431 (2019). [CrossRef] [Google Scholar]
- Klumpp, M., Hesenius, M., Meyer, O. et al. Production logistics and human-computer interaction—state-of-the-art, challenges and requirements for the future. Int J Adv Manuf Technol 105, 3691–3709 (2019). [CrossRef] [Google Scholar]
- Metin, F., Evirgen, O., Yannier, S. et al. One Technology, Two Use Cases for Smart Mobility and Logistics. ATZ Worldw 123, 26–31 (2021). [CrossRef] [Google Scholar]
- Campbell M, Egerstedt M, How JP, Murray RM (2010) Autonomous driving in urban environments: approaches, lessons and challenges. Philos Trans R Soc A Math Phys Eng Sci 368(1928):4649 [CrossRef] [PubMed] [Google Scholar]
- Wu SS (2011) Unmanned vehicles and us product liability law. J Law Inf Sci 21(2):234 [Google Scholar]
- Wang, Y., Fathi, A., Kundu, A., Ross, D. A., Pantofaru, C., Funkhouser, T., & Solomon, J. (2020). Pillar-Based Object Detection for Autonomous Driving. Lecture Notes in Computer Science, 18–34. [Google Scholar]
- M. Zhang, H. Sun and L. M. Zhang, “Comparing key parameters of terminal unmanned logistics vehicles in the urban traffic environment and N1 type road vehicles,” 2021 4th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA), Suzhou, China, 2021, pp. 117-121 [Google Scholar]
- Wang, X., Qi, X., Wang, P., & Yang, J. (2021). Decision making framework for autonomous vehicles driving behavior in complex scenarios via hierarchical state machine. Autonomous Intelligent Systems, 1(1). [Google Scholar]
- Belbachir, A. An embedded testbed architecture to evaluate autonomous car driving. Intel Serv Robotics 10, 109–119 (2017). [CrossRef] [Google Scholar]
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