Autonomous driving (AV) has been intensively researched over the last decade. In this paper, we introduce an open autonomous driving software stack to enable faster design …
Despite the numerous successes of machine learning over the past decade (image recognition, decision-making, NLP, image synthesis), self-driving technology has not yet …
While current research and development of autonomous driving primarily focuses on developing new features and algorithms, the transfer from isolated software components into …
M Teti, WE Hahn, S Martin, C Teti… - arXiv preprint arXiv …, 2018 - arxiv.org
Self-driving technology is advancing rapidly---albeit with significant challenges and limitations. This progress is largely due to recent developments in deep learning algorithms …
H Suk, Y Lee, T Kim, S Kim - Artificial Intelligence and …, 2024 - yonsei.elsevierpure.com
Despite ongoing beta tests and research, significant challenges still need to be addressed before fully autonomous driving can be commercialized. At levels 3 or higher, the …
J Geyer, Y Kassahun, M Mahmudi, X Ricou… - arXiv preprint arXiv …, 2020 - arxiv.org
Research in machine learning, mobile robotics, and autonomous driving is accelerated by the availability of high quality annotated data. To this end, we release the Audi Autonomous …
Over the past decade, many research articles have been published in the area of autonomous driving. However, most of them focus only on a specific technological area …
Boldly imagine an innovative way of traveling. For every journey, a passenger only need to step into the vehicle and relax—their route already plotted by using big data and …
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