Zusammenfassung
The core of autonomous driving are intelligent algorithms that control real-time actions based on the recordings of on-board sensors which monitor the environment as well as the internal states of the car. Many open issues are to be solved before the vision of autonomously driving fleets of cars employing such algorithms will become reality. Amongst them is how to structure the process of developing the algorithms to meet functional and non-functional requirements.
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Abthoff, T. et al. (2017). Big data re-simulations for autonomous driving using DaSense. In: Isermann, R. (eds) Fahrerassistenzsysteme 2017. Proceedings. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-19059-0_21
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DOI: https://doi.org/10.1007/978-3-658-19059-0_21
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