In this contribution, we suggest two proposals to achieve fast, real-time lane-kee** control
for Autonomous Ground Vehicles (AGVs). The goal of lane-kee** is to orient and keep the …

The following article presents a high-level overview of how Model Predictive Control (MPC)
is leveraged in passenger vehicles and their subsystems for improved performance. This …

In this contribution, we suggest two proposals to achieve fast, real-time lane-kee** control
for Autonomous Ground Vehicles (AGVs). The goal of lane-kee** is to orient and keep the …

In recent years, in-vehicle networks are increasingly being incorporated to self-driving cars
in order to interconnect spatially distributed devices such as sensors, actuators, and …

This paper proposes a joint adaptive estimation method of vehicle mass and road slope
considering road environment factors. This method aims at solving the problem that the …

To enable effective model-based control for autonomous vehicles, accurate vehicle states
and model parameters are required. Most of the state estimation and model-based control …

In this work, we consider the problem of fully autonomous navigation of a vehicle to reach its
desired goal in a constrained environment, specifically when the vehicle dynamics are …

In this work, we have implemented a SLAM-assisted navigation module for a real
autonomous vehicle with unknown dynamics. The navigation objective is to reach a desired …

Autonomous and assisted driving features such as lane centering, lane change, and evasive
maneuver assistance rely on two interconnected modules, trajectory planning and motion …

For intelligent vehicles, a fast and accurate estimation of road slope is of great significance
for many aspects, including the steering comfort, fuel economy, vehicle stability control …