دانلود رایگان مقاله رانندگی خودگردان در نقشه شهر-HD به عنوان چالش کلیدی در صنعت خودرو

ABSTRACT

This article provides in-depth insights into the necessary technologies for automated driving in future cities. State of science is reflected from different perspectives such as in-car computing and data management, road side infrastructure, and cloud solutions. Especially the challenges for the application of HD maps as core technology for automated driving are depicted in this article.

3. Summary

Autonomous driving is on its way to becoming a reality. Advanced driver assistance systems (ADAS) of the latest premium car generation already allow a self-driving experience on highways for a few seconds. This kind of feature is based on optical and radar sensors that are able to scan the near-car environment. The results are input to steering, accelerating, and breaking actuators that permit automated driving in situations with low complexity. This is the first step toward autonomous driving. When transferred into urban traffic situations, the information from these sensors is insufficient to enable fully autonomous driving. Additional input such as the exact location, speed, and direction of the car, as well as the current traffic situation and the behavior of other traffic participants, is required. The basic references for this multi-dimensional information are HD maps with an accuracy of ± 10 cm, enhanced by updates on the real-time status of the wider car environment (to a range of about 1 km). Thus, HD maps are a key challenge for the automotive industry, especially because this topic has not been known as a core competence of car manufacturers until now. This paper revealed some background information on the current state of research and provided an outlook on future scenarios.