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 …

Lane change maneuver is one of the most conventional behaviors in driving. Unsafe lane
change maneuvers are key factor for traffic accidents and traffic congestion. For drivers' …

This paper proposes risk-informed decision-making and control methods for autonomous
vehicles (AVs) under severe driving conditions, where many vehicle interactions occur on …

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 emergency situations, autonomous vehicles will be forced to operate at their friction limits
in order to avoid collisions. In these scenarios, coordinating the planning of the vehicle's …

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 …

The complexity is increasing rapidly in many areas of the automotive industry. The design of
an automobile involves many different engineering disciplines, eg, mechanical, electrical …

We develop a real-time feasible mixed-integer programming-based decision-making (MIP-
DM) system for automated driving (AD). Using a linear vehicle model in a road-aligned …

This paper discusses some of the current state-of-the-art and remaining challenges in
research on path planning and vehicle control of autonomous vehicles. Reliable path …

Autonomous vehicle functions in safety-critical situations show promise in reducing the risk
and saving lives in accidents compared to existing safety systems. Consequently, it is from …