TASCC: Secure Cloud-based Distributed Control (SCDC) Systems for Connected Autonomous Cars
TASCC: Secure Cloud-based Distributed Control (SCDC) Systems for Connected Autonomous Cars
批准号:
EP/N01300X/2
负责人:
Mehrdad Dianati
金额:
$280.85万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Automotive industry and the consumers are eager for smart features on new cars and more efficient vehicles. Modern cars are not considered as mere means for travelling from point A to B anymore, but rather smart systems that offer personalised services and have the capability to adapt to the user's preferences and needs. They are expected to become intelligent agents that learn from their environments and exploit various sources of information to become increasingly autonomous systems that relieve the driver from tedious tasks, such as parking, and improve safety, efficiency, and desirability of the future cars. From a wider angle, today's land transportation systems claim about 1.3 million lives and 7 million injuries in road accidents, according to a recent report by CISCO. The increasing number of cars results in traffic jams costing about 90 billion of lost hours for the drivers and the passengers. In addition, transportation accounts for about 26% of the total greenhouse gas emission from human activities. While public transport can help, cars remain to be the desired means of transport according to a recent report by the Department of Transport in 2014. These market forces in addition to the environmental, economic and social impacts of transport systems demand a timely and transformative research to rethink the automotive control systems and revolutionise vehicle design for future cars. There have been two trends towards this objective in the past decade: in the one hand the research in autonomous systems, inspired by unmanned space vehicles, gave birth to driver-less concept cars such as Google robotic car; on the other hand, modern wireless communications enabled cars to talk to each other and the roadside infrastructures, resulting in the concept of connected cars. However, driver-less cars remain to be too expensive for commercial vehicles (Google's cars cost about £100,000 only for sensing equipment) and connected vehicles can offer little if not properly integrated into smart and autonomous features. This ambitious research is defined by a number of world-class academic institutions and leading industrial partners to work with Jaguar Land Rover, a market leader in high end cars, to design and validate a framework that combines the power of connected vehicles concept with the notion of autonomous systems and build a novel platform for cost-effective deployment of autonomous features and ultimately realisation of connected and fully autonomous cars. This can be made possible thanks to modern wireless technologies and the power of cloud computing that allows sharing expensive computing resources (hence, reducing costs per vehicle) and provides access to information that are only available on the cloud. To realise the ambition of the project, a number of key challenges in the areas of ultra-low-latency wireless technologies, cloud computing, distributed control systems, and human interaction issues will be addressed in this project. In addition, potential security threats will be identified and analysed to assess the potential risks for the public and reputational damage for car manufacturers should such technologies be commercialised. At the end of the project, the technical solutions will be integrated into a single framework and will be validated by example applications, characterising technical and service-level performance of the framework, and providing a basis for the future direction of enhanced automated services. While the objective here is to ultimately enable affordable driver-less cars, in the short term, this project aims to enable a number of demonstrable autonomous features in a test environment.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
Optimising driver profiling through behaviour modelling of in-car sensor and global positioning system data
通过车内传感器和全球定位系统数据的行为建模优化驾驶员分析
DOI:
10.1016/j.compeleceng.2021.107047
发表时间:
2021
期刊:
Computers & Electrical Engineering
影响因子:
4.3
作者:
[Ahmadi-Assalemi G]
通讯作者:
Ahmadi-Assalemi G
DOI:
10.1049/cp.2019.0141
发表时间:
2019
期刊:
Living in the Internet of Things (IoT 2019)
影响因子:
--
作者:
[U. Atmaca;Carsten Maple;M. Dianati]
通讯作者:
U. Atmaca;Carsten Maple;M. Dianati
Lane-Change Initiation and Planning Approach for Highly Automated Driving on Freeways
高速公路高度自动化驾驶的变道启动和规划方法
DOI:
10.1109/vtc2020-fall49728.2020.9348630
发表时间:
2020
期刊:
影响因子:
--
作者:
[Arbabi S]
通讯作者:
Arbabi S
DOI:
10.1109/ivs.2019.8813811
发表时间:
2019-06
期刊:
2019 IEEE Intelligent Vehicles Symposium (IV)
影响因子:
--
作者:
[Eduardo Arnold;Omar Y. Al-Jarrah;M. Dianati;Saber Fallah;David Oxtoby;A. Mouzakitis]
通讯作者:
Eduardo Arnold;Omar Y. Al-Jarrah;M. Dianati;Saber Fallah;David Oxtoby;A. Mouzakitis
DOI:
10.1109/lra.2021.3137888
发表时间:
2021-12
期刊:
IEEE Robotics and Automation Letters
影响因子:
5.2
作者:
[Eduardo Arnold;Sajjad Mozaffari;M. Dianati]
通讯作者:
Eduardo Arnold;Sajjad Mozaffari;M. Dianati
共 9 条
TASCC: Secure Cloud-based Distributed Control (SCDC) Systems for Connected Autonomous Cars
-
批准号:EP/N01300X/1
-
项目类别:Research Grant
-
资助金额:$331.43万
-
财政年份:2016
-
负责人:Mehrdad Dianati
-
依托单位:
海外基金