PRYSTINE - Technical Progress After Year 1

2019 22nd Euromicro Conference on Digital System Design (DSD) Pub Date : 2019-08-01 DOI:10.1109/DSD.2019.00063

N. Druml, O. Veledar, Georg Macher, G. Stettinger, Selim Solmaz, Jakob Reckenzaun, S. Diaz, M. Marcano, J. Villagrá, R. Beekelaar, Johannes Jany-Luig, Marta Maria Corredoira, P. Burgio, Christian Ballato, B. Debaillie, Lars van Meurs, A. Terechko, F. Tango, A. Ryabokon, A. Anghel, O. Icoglu, Sumeet S. Kumar, G. Dimitrakopoulos

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引用次数: 5

Abstract

Among the actual trends that will affect society in the coming years, autonomous driving stands out as having the potential to disruptively change the automotive industry as we know it today. For this, fail-operational behavior is essential in the sense, plan, and act stages of the automation chain in order to handle safety-critical situations by its own, which currently is not reached with state-of-the-art approaches also due to missing reliable environment perception and sensor fusion. PRYSTINE will realize Fail-operational Urban Surround perceptION (FUSION) which is based on robust Radar and LiDAR sensor fusion and control functions in order to enable safe automated driving in urban and rural environments. In this paper, we detail the vision of the PRYSTINE project and we showcase the results achieved during the first year.

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PRYSTINE -第一年之后的技术进步

在未来几年影响社会的实际趋势中，自动驾驶脱颖而出，因为它有可能颠覆性地改变我们今天所知道的汽车行业。为此，故障操作行为在自动化链的感知、计划和行动阶段至关重要，以便自行处理安全关键情况，由于缺乏可靠的环境感知和传感器融合，目前最先进的方法无法达到这一点。PRYSTINE将实现基于强大的雷达和激光雷达传感器融合和控制功能的故障操作城市环绕感知(FUSION)，以实现城市和农村环境中的安全自动驾驶。在本文中，我们详细介绍了PRYSTINE项目的愿景，并展示了第一年取得的成果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 22nd Euromicro Conference on Digital System Design (DSD)

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