[HTML][HTML] Model predictive path tracking control for automated road vehicles: A review
Thanks to their road safety potential, automated vehicles are rapidly becoming a reality. In
the last decade, automated driving has been the focus of intensive automotive engineering …
the last decade, automated driving has been the focus of intensive automotive engineering …
Autonomous vehicles on the edge: A survey on autonomous vehicle racing
The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are developing software and hardware for …
recent years: Autonomous racing. Researchers are developing software and hardware for …
On infusing reachability-based safety assurance within planning frameworks for human–robot vehicle interactions
K Leung, E Schmerling, M Zhang… - … Journal of Robotics …, 2020 - journals.sagepub.com
Action anticipation, intent prediction, and proactive behavior are all desirable characteristics
for autonomous driving policies in interactive scenarios. Paramount, however, is ensuring …
for autonomous driving policies in interactive scenarios. Paramount, however, is ensuring …
Contingency model predictive control for automated vehicles
We present Contingency Model Predictive Control (CMPC), a novel and implementable
control framework which tracks a desired path while simultaneously maintaining a …
control framework which tracks a desired path while simultaneously maintaining a …
Investigation on the model-based control performance in vehicle safety critical scenarios with varying tyre limits
In recent years the increasing needs of reducing the costs of car development expressed by
the automotive market have determined a rapid development of virtual driver prototyping …
the automotive market have determined a rapid development of virtual driver prototyping …
[HTML][HTML] Deep truck cruise control: Field experiments and validation of heavy duty truck cruise control using deep reinforcement learning
Building control systems for heavy duty trucks have historically been dependent on
availability of the details of the mechanical configuration of each target truck. This article …
availability of the details of the mechanical configuration of each target truck. This article …
A tricycle model to accurately control an autonomous racecar with locked differential
In this paper, we present a novel formulation to model the effects of a locked differential on
the lateral dynamics of an autonomous open-wheel racecar. The model is used in a Model …
the lateral dynamics of an autonomous open-wheel racecar. The model is used in a Model …
Contingency model predictive control for linear time-varying systems
JP Alsterda, JC Gerdes - arXiv preprint arXiv:2102.12045, 2021 - arxiv.org
We present Contingency Model Predictive Control (CMPC), a motion planning and control
framework that optimizes performance objectives while simultaneously maintaining a …
framework that optimizes performance objectives while simultaneously maintaining a …
Longitudinal deep truck: Deep longitudinal model with application to sim2real deep reinforcement learning for heavy‐duty truck control in the field
To develop cooperative adaptive cruise control (CACC), the choice of control approach often
influences and can limit the choice of model structure, and vice versa. For heavy‐duty trucks …
influences and can limit the choice of model structure, and vice versa. For heavy‐duty trucks …
Online calibration of a single-track ground vehicle dynamics model by tight fusion with visual-inertial odometry
H Li, J Stueckler - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
Wheeled mobile robots need the ability to estimate their motion and the effect of their control
actions for navigation planning. In this paper, we present ST-VIO, a novel approach which …
actions for navigation planning. In this paper, we present ST-VIO, a novel approach which …