A workshop being held in conjunction with the [IEEE Intelligent Vehicles Symposium - IV2021](https://2021.ieee-iv.org), July 11th, 2021, Nagoya, Japan.
A workshop being held in conjunction with the [IEEE Intelligent Vehicles Symposium - IV2020](https://2020.ieee-iv.org), October 20th, 2020, Las Vegas, NV, United States.
Self-driving cars typically depend on high-definition (HD) maps for computing a driving strategy at areas inside and outside their field of view. Data in HD maps, however, can be outdated and erroneous. It is therefore of critical importance to …
This paper proposes a simplified hybrid model of a freight train equipped with an air brake. The control of such a system and the enforcement of numerous safety constraints constitute a relevant benchmark to evaluate tools for proving safety …
This paper presents a new control strategy for data centers that aims to optimize the trade-off between maximizing the payoff from the provided quality of computational services and minimizing energy costs for computation and cooling. The data center …
This paper presents a unified, coordinated, thermal-computational approach to the data center energy management problem. A data center is modeled as two coupled net-works: a computational and a thermal network. The first network describes the …
This paper presents a unified approach to data center energy management based on a modeling framework that characterizes the influence of key decision variables on computational performance, thermal generation, and power consumption. Temperature …