This paper shows a software stack capable of planning a minimum curvature trajectory for
an autonomous race car on the basis of an occupancy grid map and introduces a controller …

This paper shows the planning of time-optimal trajectories, which allows an autonomous
race car to drive at the handling limits, taking into account locally changing road friction …

Student competitions can play an important role in education: they promote interest and
engagement of the students, as well as of the teachers. In the case of engineering, one of …

Minimum lap time simulations are especially important in the design, optimisation and setup
of race vehicles. Such problems usually come in different flavours, eg quasi-steady state …

The paper begins with a survey of advances in state-of-the-art minimum-time simulation for
road vehicles. The techniques covered include both quasi-steady-state and transient vehicle …

The sustainable mobility trend touches the racing world as well, from the hybridization of
Formula 1 (F1) and Le Mans Hypercars to the fully electric Formula E racing class. In this …

With the evolution of self-driving cars, autonomous racing series like Roborace and the Indy
Autonomous Challenge are rapidly attracting growing attention. Researchers participating in …

Autonomous driving at at-limit handling represents a big challenge due to the nonlinear
behaviour of a vehicle. In this paper, a hierarchical control scheme composed of two …

This paper presents a framework to plan and execute autonomous parking maneuvers in
complex parking scenarios. We formulate a minimum-time optimal control problem for …

This article presents a hierarchical control framework for autonomous vehicle trajectory
planning and tracking, addressing the challenge of accurately following high-speed, at-limit …