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Mapping for Autonomous Driving: Opportunities and Challenges
IEEE Intelligent Transportation Systems Magazine ( IF 3.6 ) Pub Date : 2020-10-02 , DOI: 10.1109/mits.2020.3014152
Kelvin Wong , Yanlei Gu , Shunsuke Kamijo

This article provides a review of the production and uses of maps for autonomous driving and a synthesis of the opportunities and challenges. For many years, maps have helped human drivers make better decisions, and in the future, maps will continue to play a critical role in enabling safe and successful autonomous driving. There are, however, many technical, societal, economic, and political challenges to mapping that remain unresolved. While fully autonomous driving may be some distance in the future, intermediate steps to realize the technology can be taken. These include developing an efficient and reliable storage and dissemination infrastructure, defining minimum data quality requirements, and establishing an international mapping standard. The article closes with 11 open research challenges for mapping for autonomous driving.

中文翻译:

自动驾驶地图:机遇与挑战

本文回顾了自动驾驶地图的生产和使用情况,并总结了机遇与挑战。多年来,地图已帮助人类驾驶员做出更好的决策,并且在将来,地图将继续在实现安全成功的自动驾驶方面发挥关键作用。但是,地图绘制仍然面临许多技术,社会,经济和政治挑战,这些挑战仍未解决。尽管未来全自动驾驶可能还有一段距离,但可以采取一些中间步骤来实现该技术。其中包括开发高效,可靠的存储和分发基础架构,定义最低数据质量要求以及建立国际映射标准。文章结束时涉及自动驾驶制图的11项开放研究挑战。
更新日期:2020-10-02
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