CarLab: Framework for Vehicular Data Collection and Processing

Abstract

Due to the growth of intelligent and self-driving vehicles, there are a multitude of data-driven applications such as user monitoring or traffic modeling and control. Each application often uses its own data-collection platform, leading to a scattered landscape of solutions for vehicular data-driven research and app development. We propose CarLab, a flexible and open vehicular data-collection platform which unifies this landscape of vehicular data-driven research and app development. In this paper, we survey the field of vehicular data collection, describe the system architecture of CarLab and related research issues.

Publication
In Proceedings of the 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services
Mert D. Pesé
Mert D. Pesé
Assistant Professor

My research interests include all sorts of automotive-related security and privacy, including on in-vehicle networks, connected car protocols, Android Automotive and adversarial machine learning against autonomous vehicles.