The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Development of Autonomous Car—Part I: Distributed System Architecture and Development Process
Abstract
An autonomous car is a self-driving vehicle that has the capability to perceive the surrounding environment and navigate itself without human intervention. For autonomous driving, complex autonomous driving algorithms, including perception, localization, planning, and control, are required with many heterogeneous sensors, actuators, and computers. To manage the complexity of the driving algorithms and the heterogeneity of the system components, this paper applies distributed system architecture to the autonomous driving system, and proposes a development process and a system platform for the distributed system of an autonomous car. The development process provides the guidelines to design and develop the distributed system of an autonomous vehicle. For the heterogeneous computing system of the distributed system, a system platform is presented, which provides a common development environment by minimizing the dependence between the software and the computing hardware. A time-triggered network protocol, FlexRay, is applied as the main network of the software platform to improve the network bandwidth, fault tolerance, and system performance. Part II of this paper will provide the evaluation of the development process and system platform by using an autonomous car, which has the ability to drive in an urban area.
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Cites
Stanley: The robot that won the DARPA Grand Challenge
Thrun, S., Montemerlo, M., Dahlkamp, H., Stavens, D., Aron, A., Diebel, J., Fong, P., Gale, J., Halpenny, M., Hoffmann, G., et al. (2006) · Journal of Field Robotics · doi:10.1002/rob.20147 · Cited by 2,237
The worst-case execution-time problem—overview of methods and survey of tools
Wilhelm, R., Engblom, J., Ermedahl, A., Holsti, N., Thesing, S., Whalley, D., Bernat, G., Ferdinand, C., Heckmann, R., Mitra, T., et al. (2008) · ACM Transactions on Embedded Computing Systems · doi:10.1145/1347375.1347389 · Cited by 1,871
Autonomous driving in urban environments: Boss and the Urban Challenge
Urmson, C., Anhalt, J., Bagnell, D., Baker, C., Bittner, R., Clark, M. N., Dolan, J., Duggins, D., Galatali, T., Geyer, C., et al. (2008) · Journal of Field Robotics · doi:10.1002/rob.20255 · Cited by 1,555
The Robot That Won the DARPA Grand Challenge
Thrun, S. (2007) · Cited by 406
Development environments for autonomous mobile robots: A survey
Kramer, J., & Scheutz, M. (2007) · Autonomous Robots · doi:10.1007/s10514-006-9013-8 · Cited by 267
Robotics Middleware: A Comprehensive Literature Survey and Attribute-Based Bibliography
Elkady, A., & Sobh, T. (2012) · Journal of Robotics · doi:10.1155/2012/959013 · Cited by 185
Multisource Software on Multicore Automotive ECUs—Combining Runnable Sequencing With Task Scheduling
Monot, A., Navet, N., Bavoux, B., & Simonot-Lion, F. (2012) · IEEE transactions on industrial electronics (1982. Print) · doi:10.1109/tie.2012.2185913 · Cited by 110
FlexRay Network Parameter Optimization Method for Automotive Applications
Park, I., & Sunwoo, M. (2010) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2010.2049713 · Cited by 86
Self-citationBaronti, F., Petri, E., Saponara, S., Fanucci, L., Roncella, R., Saletti, R., D'Abramo, P., & Serventi, R. (2009) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2009.2029583 · Cited by 69
AUTOSAR – the Standardized Software Architecture
Bunzel, S. (2011) · Informatik-Spektrum · doi:10.1007/s00287-010-0506-7 · Cited by 62
Cited by
A Review of Motion Planning Techniques for Automated Vehicles
Gonzalez, D., Perez, J., Milanes, V., & Nashashibi, F. (2016) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2015.2498841 · Cited by 1,670
Kuutti, S., Fallah, S., Katsaros, K., Dianati, M., Mccullough, F., & Mouzakitis, A. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2812300 · Cited by 801
Autonomous Cars: Research Results, Issues, and Future Challenges
Hussain, R., & Zeadally, S. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2869360 · Cited by 631
An Overview of Lidar Imaging Systems for Autonomous Vehicles
Royo, S., & Ballesta-Garcia, M. (2019) · Applied Sciences · doi:10.3390/app9194093 · Cited by 494
A Systematic Review of Perception System and Simulators for Autonomous Vehicles Research
Rosique, F., Navarro, P. J., Fernández, C., & Padilla, A. (2019) · Sensors · doi:10.3390/s19030648 · Cited by 469
Metadata
- Authors
- Jo, K., Kim, J., Kim, D., Jang, C., & Sunwoo, M.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2014-12
- Volume
- 61
- Issue
- 12
- Pages
- 7131-7140
- ISSN
- 0278-0046 (ISSN-L)
- 1557-9948
- OpenAlex
- W2017358384
- Cited by
- 277
- References
- 11
- FWCI
- 16.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jo, K., Kim, J., Kim, D., Jang, C., & Sunwoo, M. (2014). Development of Autonomous Car—Part I: Distributed System Architecture and Development Process. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2014.2321342
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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