高级驾驶员辅助系统
背景(考古学)
计算机科学
智能手机应用
工程类
实时计算
人工智能
多媒体
生物
古生物学
作者
Manolo Dulva Hina,Assia Soukane,Amar Ramdane-Chérif
出处
期刊:Lecture notes in networks and systems
日期:2022-01-01
卷期号:: 923-931
标识
DOI:10.1007/978-3-031-09173-5_106
摘要
There is a need for an alternative ADAS (advanced driving assistance system) given that current ones are expensive and closed to proprietary constraints. CASA (CAr Safety App) is a low-cost, alternative ADAS which is deployable in a driver’s smartphone or tablet. Its cognition of driving context is based upon the fusion of various parameters representing the context of the environment, the driver, and the vehicle. The decisional system of CASA determines if there are situations (notification, alert, or danger) that must be mitigated. If so, the driving assistance takes effect, and the assistance message/signal is sent to the driver, the vehicle or both. This ADAS also contains a fuzzy logic system infers the driver’s profile based on the behavior of the person on the wheels and sends assistance messages suitable for such driver. Overall, this intelligent smartphone-based alternative ADAS is a tool that minimizes accident and keeps road navigation safe.
科研通智能强力驱动
Strongly Powered by AbleSci AI