Both path and speed planning play key roles in automated driving, specially when a certain
comfort level is required. This paper proposes a human-like speed planning method for …

This paper presents a path and speed planner for automated public transport vehicles in
unstructured environments. Since efficiency and comfort are two of the key issues in …

In this paper, we present a convex-optimization-based method to solve speed planning
problems over a fixed path for autonomous driving in both static and dynamic environments …

In this paper, we present a complete, flexible and safe convex-optimization-based method to
solve speed planning problems over a fixed path for autonomous driving in both static and …

Deterministic and real time calculation of safe and comfortable speed profiles is the main
topic of this paper. Using vehicle properties and road characteristics, such as friction and …

Real-time kinodynamic trajectory planning in dy-namic environments is critical yet
challenging for autonomous driving. In this paper, we propose an efficient trajectory plan …

This paper presents a framework for fast and robust motion planning designed to facilitate
automated driving. The framework allows for real-time computation even for horizons of …

Autonomous vehicles must be able to react in a timely manner to typical and unpredictable
situations in urban scenarios. In this connection, motion planning algorithms play a key role …

Predictive motion planning is the key to achieve energy-efficient driving, which is one of the
main benefits of automated driving. Researchers have been studying the planning of …

Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …