Position Papers

Archive of Accepted Position Papers

Visible to the public AutoPlug: An Open Experimental Platform for Automotive ECU Testing, Updates and Verification

In 2010, over 20.3 million vehicles were recalled. Software issues related to automotive controls such as cruise control, anti-lock braking system, traction control and stability control, account for an increasingly large percentage of the over-all vehicles recalled. There is a need for new and scalable methods to evaluate automotive controls in a realistic and open setting. We have developed AutoPlug, an automotive Electronic Controller Unit (ECU) test-bed to diagnose,


Visible to the public Time-Predictable Fault Tolerant Computing for Dependable Automotive Cyber-Physical Systems

Dependable and secure automotive cyber-physical systems (CPSs) are crucial as human’s lives are dependent on them. Many important subsystems in today’s automobiles such as the engine control system and the anti-brake system are hard real-time systems. If the CPUs in those systems have any fault, regardless of transient faults or hard faults, not only the computation results may be wrong, but also the results may be delivered late. Therefore, CPUs used in those systems must be able to handle two tasks: 1) detect and correct the errors, and 2) ensure that the error detection and correction can be done within the deadline so that the system can function correctly or have a grace period.


Visible to the public The Future of Autonomy and Safety in Mixed Traffic Urban Environments

We are at the mid-point of an NSF CPS Program supported project on Autonomous Driving in Urban Environments. The objective of this research is to “scale up” the capabilities of fully autonomous vehicles so they are capable of operating in mixed-traffic urban environments: realistic large-city driving situations with many other (mostly human-driven) vehicles. The approach is to integrate interdisciplinary advances in software, sensing and control, and modeling to address the most serious weaknesses in autonomous vehicle design revealed recently by, e.g., the DARPA Urban Challenge.


Visible to the public Trains, Planes, and Automobiles

Car and airplane designers each have lessons that they can teach the other. This paper concentrates on what we think automotive designers can learn from aircraft designers, with a short note on the converse. We will also consider some key issues that both disciplines need to work on.


Visible to the public Smart Mobility: Next Generation Transportation System

The goal of any transportation system is to increase safety and efficiency of transportation infrastructure without expanding the current infrastructure. Therefore, Intelligent Transportation System (ITS) was received great effort in recent years targeting at applying well-established technologies in communications,


Visible to the public Modeling and Verifying Intelligent Automotive Cyber-Physical Systems

Exhaustive state space exploration based verification of cyber-physical system designs remains a challenge despite five decades of active research into formal verification. On the other hand, models of intelligent automotive cyber-physical systems continue to grow in complexity. The testing of intelligent automotive models often uses human subjects, is expensive, and can not be performed unless the system has already been prototyped and is ready for human interaction. We propose the use of machine learning methods to learn stochastic models of human-vehicle interaction.