Cognitive Based Platform for Advanced Driver Assistance Systems

高级驾驶辅助系统的认知平台

• 批准号: RGPIN-2015-05313
• 负责人: Karray, Fakhreddine
• 金额: $ 3.42万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637421
• 关键词: Cognitive; Based; Platform; Advanced; Driver

Major advances are made in the design and development of novel ground transportation infrastructure and intelligent vehicles systems. This is an integral part for building the next generation of intelligent transportation systems involving smart roads and highways, connected vehicles, intelligent sensors and actuators, advanced communication systems and autonomous vehicles equipped with the latest smart mechatronic devices and knowledge based software. At the same time, additional stringent requirements are made by the car manufacturers and insurance industries for achieving best possible performance in terms of fuel efficiency, driving safety, comfort and environment protection. Advanced driver assistance technologies are among the most notable advancements made towards these goals. This market alone is expected to grow to $260 billion by 2020, as the technologies become mainstream not only for luxury and executive vehicles, but also for higher volume product. Transportation authorities in several countries have already mandated such systems and large research budgets have been allocated for the development of next generation advanced driver assistance systems (ADAS).

在新型地面交通基础设施和智能车辆系统的设计和开发方面取得了重大进展。这是构建下一代智能交通系统的一个组成部分，涉及智能道路和高速公路，联网车辆，智能传感器和执行器，先进的通信系统以及配备最新智能机电设备和基于知识的软件的自动驾驶汽车。与此同时，汽车制造商和保险业对汽车提出了更严格的要求，以在燃油效率、驾驶安全性、舒适性和环保方面实现最佳性能。先进的驾驶辅助技术是实现这些目标的最显着进步之一。预计到2020年，仅这一市场就将增长到2600亿美元，因为该技术不仅成为豪华和行政车辆的主流，而且也成为更大批量产品的主流。一些国家的交通管理部门已经授权使用这种系统，并为下一代高级驾驶员辅助系统（ADAS）的开发分配了大量研究预算。