软件部署
自治
工程类
订单(交换)
比例(比率)
系统工程
计算机科学
知识管理
过程管理
工程管理
风险分析(工程)
业务
软件工程
政治学
物理
财务
量子力学
法学
作者
Avinash Balachandran,Tiffany L. Bhattacharjee Chen,Jonathan Y. Goh,Stephen G. McGill,Guy Rosman,Simon Stent,John J. Leonard
出处
期刊:Lecture notes in mobility
日期:2022-07-09
卷期号:: 85-109
被引量:2
标识
DOI:10.1007/978-3-031-11112-9_8
摘要
Despite the benefits of autonomous vehicles, their many challenges have made their wide scale deployment and adoption slower than hoped for. In order to help spread the potential benefits of autonomy sooner, as well as to cater to people who will continue to prefer to drive themselves while improving safety, there is a need for intelligent interaction and collaboration between increasingly automated vehicles and humans. At Toyota Research Institute, we call this Human-Centric Intelligent Driving (HCID). HCID has many technical challenges, some of which are shared with fully autonomous driving. Due to the collaborative nature between humans and machines in HCID, some of these challenges are particularly important and potentially different from fully autonomous driving. This chapter focuses on Toyota Research Institute’s (TRI) approach to addressing some of these core challenges.
科研通智能强力驱动
Strongly Powered by AbleSci AI