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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Big data re-simulations for autonomous driving using DaSense
verfasst von : Tobias Abthoff, Nicoletta John, Katharina Kreplin, Jonas Lorenz, Andreas Pawlik, Tilmann Piffl, Jose Villaveces, Adrian Villwock
Erschienen in: Fahrerassistenzsysteme 2017
Verlag: Springer Fachmedien Wiesbaden
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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.