Applications of CPS technologies used in the planning, functional design, operation and management of facilities for any mode of transportation in order to provide for the safe, efficient, rapid, comfortable, convenient, economical, and environmentally compatible movement of people and goods.
2nd International Workshop on Safe Control of Autonomous Vehicles (SCAV 2018)
Hosted at Cyber-Physical Systems Week 2018 in Porto, Portugal
Autonomous vehicles (AV) of any kind (e.g. road, maritime, aerial, unmanned) and in any configuration (e.g. individual, connected, cooperative, traffic) will provide novel services having to fulfill strong safety requirements. For controllers of AVs and for control schemes of AV collectives,
we must guarantee safety and resilience in spite of, e.g.
Despite many advances in vehicle automation, much remains to be done: the best autonomous vehicle today still lags behind human drivers, and connected vehicle (V2V) and infrastructure (V2I) standards are only just emerging. In order for such cyber--physical systems to fully realize their potential, they must be capable of exploiting one of the richest and most complex abilities of humans, which we take for granted: seeing and understanding the visual world.
Explanation of Demonstration: Traffic waves will arise in the absence of bottlenecks as a result of human driving behavior alone. We conduct an experiment on a ring-road track to demonstrate the ability of a single autonomous vehicle in a flow of human-piloted vehicles to dampen these waves. In this demonstration, we presented a virtual reality video of the experiment.
Vehicle systems, being either ground/air/water vehicles, require hundreds/thousands of battery cells to meet their power and energy needs. In this project, we aim to develop comprehensive management solutions of such large-scale batteries with the joint consideration of peak power, operation time, and battery life for vehicle electrification.
Like today's autonomous vehicle prototypes, vehicles in the future will have rich sensors to map and identify objects in the environment. For example, many autonomous vehicle prototypes today come with lineofsight depth perception sensors like 3D cameras. These 3D sensors are used for improving vehicular safety in autonomous driving, but have fundamentally limited visibility due to occlusions, sensing range, and extreme weather and lighting conditions.
This project aims at accelerating the deployment of security measures for cyber-physical systems (CPSs) by proposing a framework that combines anomaly identification approaches, which emphasizes on the development of decentralized cyber-attack monitoring and diagnostic-like components, with robust control countermeasure to improve reliability and maintain system functionality. One of the main challenges for cyber physical systems is the security of transmitted data over the communication network.
