Computer vision at the hyundai autonomous challenge

Cerri, Pietro; Soprani, G.; Zani, Paolo; Choi, Jinseok; Lee, Junyung; Kim, Dong-Wook; Yi, Kyongsu; Broggi, Alberto

doi:10.1109/itsc.2011.6082859

Cited by 19 publications

(12 citation statements)

References 10 publications

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“…Nevertheless, the fact that six teams managed to complete the challenge attracted significant attention. After DARPA Urban Challenge, several more automated driving competitions such as [8]- [10] were held in different countries. Common practices in system architecture have been established over the years.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

et al. 2020

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Automated driving systems (ADSs) promise a safe, comfortable and efficient driving experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The full potential of ADSs cannot be realized unless the robustness of state-of-the-art improved further. This paper discusses unsolved problems and surveys the technical aspect of automated driving. Studies regarding present challenges, high-level system architectures, emerging methodologies and core functions: localization, mapping, perception, planning, and human machine interface, were thoroughly reviewed. Furthermore, the state-of-the-art was implemented on our own platform and various algorithms were compared in a real-world driving setting. The paper concludes with an overview of available datasets and tools for ADS

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Section: Introductionmentioning

confidence: 99%

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

et al. 2020

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“…In these, autonomous driving is more focused on cooperative driving and vehicle platooning. Countless other competitions have taken place around the world to test and demonstrate driverless vehicles' capabilities (e.g., [18]- [21]). In the last couple of years, autonomous vehicles have taken the next step by being released to the general public [22]- [24].…”

Section: B Backgroundmentioning

confidence: 99%

Spatial Model Predictive Control for Smooth and Accurate Steering of an Autonomous Truck

Lima

Nilsson

Trincavelli

et al. 2017

IEEE Trans. Intell. Veh.

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“…In the Hyundai Autonomous Challenge [11], that took place in Seoul in November 2010, contestants were required to build an autonomous vehicle capable of following a course and performing missions like avoiding obstacles, passing through gates and tunnels, stopping in front of a pedestrian crossing or a stop line, and slowing down in front of speed bumps. Such a challenge explicitly required the use of vision to detect patterns.…”

Section: Introductionmentioning

confidence: 99%

PROUD—Public Road Urban Driverless-Car Test

Broggi

Cerri

Debattisti

et al. 2015

IEEE Trans. Intell. Transport. Syst.

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This paper presents an autonomous driving test held in Parma on urban roads and freeways open to regular traffic. During this test, the vehicle not only performed simple maneuvers, but it had to cope with complex driving scenarios as well, including roundabouts, junctions, pedestrian crossings, freeway junctions, and traffic lights. The test demonstrated the ability of the current technology to manage real situations and not only the well-structured and predictable ones. A comparison of milestones, challenges, and key results in autonomous driving is presented to highlight the novelty and the specific purpose of the test. The whole system is described: the vehicle; the software architecture; details about high-, medium-, and low-level control; and details about perception algorithms. A conclusion highlights the achieved results and draws possible directions for future development.Alberto Broggi received the Dr.Ing. (master's) degree in electronic engineering and the Ph.D. degree in information technology both from the Università degli Studi di Parma, Parma, Italy, in 1990 and 1994, respectively. He is currently a Full Professor with the Università degli Studi di Parma, where he is also the President and CEO of the VisLab spinoff company. He is an author of more than 150 publications on international scientific journals, book chapters, and refereed conference proceedings. Dr. Broggi served as Editor-in-Chief of IEEE TRANSACTIONS ON IN-TELLIGENT TRANSPORTATION SYSTEMS for the term 2004-

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Computer vision at the hyundai autonomous challenge

Cited by 19 publications

References 10 publications

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

Spatial Model Predictive Control for Smooth and Accurate Steering of an Autonomous Truck

PROUD—Public Road Urban Driverless-Car Test

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