In this paper, a review on road friction virtual sensing approaches is provided. In particular,
this work attempts to address whether the road grip potential can be estimated accurately …

This paper presents a comprehensive literature review on tyre force estimation and road grip
recognition approaches. With the development of modern automotive control systems, a …

The minimum-lap-time optimal control problem for a Formula One race car is solved using
direct transcription and nonlinear programming. Features of this work include significantly …

To achieve optimal robot behavior in dynamic scenarios we need to consider complex
dynamics in a predictive manner. In the vehicle dynamics community, it is well know that to …

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 …

In this paper, we quantify the impacts of model fidelity on the effectiveness of trajectory
optimization for autonomous vehicles when driving at the limits of friction through …

Dynamics and Optimal Control of Road Vehicles uniquely offers a unified treatment of tyre,
car and motorcycle dynamics, and the application of nonlinear optimal control to vehicle …

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 …

As a core part of an autonomous driving system, motion planning plays an important role in
safe driving. However, traditional model-and rule-based methods lack the ability to learn …

Drifting-operating a vehicle at a high sideslip angle-offers intriguing possibilities for
controlling autonomous vehicles in critical situations. While drifting is a very dynamic …