Autonomous driving is gaining popularity in research interest and industry investment over
the last decade, due to its potential to increase driving safety to avoid driver errors which …

Full autonomous vehicles for the general public are getting closer every year. Among all the
challenges to overcome, one of them is the acceptance of this technology which translates to …

Autonomous vehicle software is typically structured as a modular pipeline of individual
components (eg, perception, prediction, and planning) to help separate concerns into …

Safety is one of the major concerns of the current transportation system, which has propelled
research in controller design for automated vehicles (AVs). Here, every AV needs to …

Automated vehicles must be equipped with the ability to plan and execute trajectories in the
presence of uncertainties for safe and effective navigation in both on-and of-road …

Decision and control in all stack scenarios comprise a key issue in the design of automated
vehicle control systems. Thus, in higher level, automated vehicles, the decision and the form …

Autonomous vehicles are expected to have a significant impact on our societies by freeing
humans from the driving task, and thus eliminating the human factor in one of the most …

The paper explores the potential benefits of using Model Predictive Control (MPC) algorithm
to enhance the driving performance and safety of autonomous vehicles. MPC is a control …

Self-driving vehicles have attracted a lot of interest due to their potential to significantly
reduce traffic fatalities and transform people's lives. The reducing costs of advanced sensing …