Semi-autonomous Truck Platooning with a Lean Sensor Package. Lakshmanan, S., Adam, C., Kleinow, T., Richardson, P., Ward, J., Stegner, E., Bevly, D., & Hoffman, M. In Murphey, Y. L., Kolmanovsky, I., & Watta, P., editors, AI-enabled Technologies for Autonomous and Connected Vehicles, pages 19–59. Springer International Publishing, Cham, 2023. ![Semi-autonomous Truck Platooning with a Lean Sensor Package [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex This chapter describes one method of approaching fuel-efficient truck platooning using a system called Cooperative Adaptive Cruise Control (CACC). The principal innovation in the system is its lean sensor package, including factory-ready standard ACC system utilizing a dual-beam radar, precision Global Positioning System (GPS), and a Vehicle-to-Vehicle (V2V) communication system. In other words, no imaging sensors such as camera or lidar, and no associated high-performance computing hardware such as Graphics Processing Units (GPU). Extensive test track and public road testing on class-8 semi-trucks, including edge case testing, reveals the efficacy and robustness of this system despite its leanness. Quantitative results are included in this chapter that trace cause and effect through the CACC system.
@incollection{lakshmanan_semi-autonomous_2023,
address = {Cham},
title = {Semi-autonomous {Truck} {Platooning} with a {Lean} {Sensor} {Package}},
isbn = {9783031067808},
url = {https://doi.org/10.1007/978-3-031-06780-8_2},
abstract = {This chapter describes one method of approaching fuel-efficient truck platooning using a system called Cooperative Adaptive Cruise Control (CACC). The principal innovation in the system is its lean sensor package, including factory-ready standard ACC system utilizing a dual-beam radar, precision Global Positioning System (GPS), and a Vehicle-to-Vehicle (V2V) communication system. In other words, no imaging sensors such as camera or lidar, and no associated high-performance computing hardware such as Graphics Processing Units (GPU). Extensive test track and public road testing on class-8 semi-trucks, including edge case testing, reveals the efficacy and robustness of this system despite its leanness. Quantitative results are included in this chapter that trace cause and effect through the CACC system.},
language = {en},
urldate = {2024-06-20},
booktitle = {{AI}-enabled {Technologies} for {Autonomous} and {Connected} {Vehicles}},
publisher = {Springer International Publishing},
author = {Lakshmanan, Sridhar and Adam, Cristian and Kleinow, Timothy and Richardson, Paul and Ward, Jacob and Stegner, Evan and Bevly, David and Hoffman, Mark},
editor = {Murphey, Yi Lu and Kolmanovsky, Ilya and Watta, Paul},
year = {2023},
doi = {10.1007/978-3-031-06780-8_2},
pages = {19--59},
}
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