講座名稱：Cooperate Automated Driving
講座人：Mohammed Atiquzzaman 教授
講座地點：ZOOM會議直播（会议ID：883 2103 5748 密码：DLyKm3）
Mohammed Atiquzzaman教授分别于1984年和1987年在曼彻斯特大学荣获电子工程硕士学位和博士学位。目前在俄克拉荷马大学计算机科学学院担任教授。此外，Mohammed Atiquzzaman还担任两个国际知名期刊Journal of Networks and Computer Applications和Vehicular Communications的主编，同时还兼任多个国际知名期刊的副编辑，其中包括 IEEE Communications Magazine, Real Time Imaging Journal, International Journal of Communication Networks and Distributed Systems and Journal of Sensor Networks以及International Journal of Communication Systems。Mohammed Atiquzzaman教授目前的研究方向主要集中在物联网、车联网、卫星通信、协同自动驾驶等。
Modern vehicles are equipped with lots of sensors for measurement of vehicle operating conditions and the surrounding, including weather conditions, and can be a viewed as a web of sensors on wheels. They can sense a range of information about the vehicle, such as location, speed, braking intensity, road traction, etc., some of which can represent road weather conditions. Lots of crashes happen due to the driver being unware of the surrounding road weather conditions, such as icy patches and frozen pavement. By facilitating vehicles within an area to exchange information between themselves in real-time, the drivers can be instantly alerted about road hazards and possibly avoid potential crashes. The talk will discuss ways to increase the safety of drivers and thus reduce crashes resulting from adverse road weather conditions. This was achieved by disseminating, in real-time, the information collected by a vehicle to its surrounding vehicles using state-of-the-art wireless communications between vehicles. The information was also communicated to road side infrastructure to increase driver safety; for example, the duration of the traffic signals at a junction can be changed dynamically in response to current road weather conditions transmitted by vehicles in the surrounding area. The talk will discuss how cloud/fog computing can be used to help disseminate information among vehicles for automated driving.