Control of connected and automated vehicles: State of the art and future challenges
Autonomous driving technology pledges safety, convenience, and energy efficiency. Its
challenges include the unknown intentions of other road users: communication between …
challenges include the unknown intentions of other road users: communication between …
Review and performance evaluation of path tracking controllers of autonomous vehicles
M Rokonuzzaman, N Mohajer… - IET Intelligent …, 2021 - Wiley Online Library
Abstract Autonomous Vehicles (AVs) have shown indelible and revolutionary effects on
accident reduction and more efficient use of travel time, with outstanding socio‐economic …
accident reduction and more efficient use of travel time, with outstanding socio‐economic …
Collision avoidance and stabilization for autonomous vehicles in emergency scenarios
Emergency scenarios may necessitate autonomous vehicle maneuvers up to their handling
limits in order to avoid collisions. In these scenarios, vehicle stabilization becomes important …
limits in order to avoid collisions. In these scenarios, vehicle stabilization becomes important …
Velocity predictors for predictive energy management in hybrid electric vehicles
The performance and practicality of predictive energy management in hybrid electric
vehicles (HEVs) are highly dependent on the forecast of future vehicular velocities, both in …
vehicles (HEVs) are highly dependent on the forecast of future vehicular velocities, both in …
Planning and decision-making for connected autonomous vehicles at road intersections: A review
Planning and decision-making technology at intersections is a comprehensive research
problem in intelligent transportation systems due to the uncertainties caused by a variety of …
problem in intelligent transportation systems due to the uncertainties caused by a variety of …
Lateral vehicle trajectory optimization using constrained linear time-varying MPC
B Gutjahr, L Gröll, M Werling - IEEE Transactions on Intelligent …, 2016 - ieeexplore.ieee.org
In this paper, a trajectory optimization algorithm is proposed, which formulates the lateral
vehicle guidance task along a reference curve as a constrained optimal control problem …
vehicle guidance task along a reference curve as a constrained optimal control problem …
An optimal-control-based framework for trajectory planning, threat assessment, and semi-autonomous control of passenger vehicles in hazard avoidance scenarios
SJ Anderson, SC Peters, TE Pilutti… - … Journal of Vehicle …, 2010 - inderscienceonline.com
This paper formulates the vehicle navigation task as a constrained optimal control problem
with constraints bounding a traversable region of the environment. A model predictive …
with constraints bounding a traversable region of the environment. A model predictive …
SIND: A drone dataset at signalized intersection in China
Y Xu, W Shao, J Li, K Yang, W Wang… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
Intersection is one of the most challenging scenarios for autonomous driving tasks. Due to
the complexity and stochasticity, essential applications (eg, behavior modeling, motion …
the complexity and stochasticity, essential applications (eg, behavior modeling, motion …
Comparative study of trajectory tracking control for automated vehicles via model predictive control and robust H-infinity state feedback control
A comparative study of model predictive control (MPC) schemes and robust H_ ∞ H∞ state
feedback control (RSC) method for trajectory tracking is proposed in this paper. The main …
feedback control (RSC) method for trajectory tracking is proposed in this paper. The main …
Fast online computation of a model predictive controller and its application to fuel economy–oriented adaptive cruise control
The recent progress of advanced vehicle control systems presents a great opportunity for the
application of model predictive control (MPC) in the automotive industry. However, high …
application of model predictive control (MPC) in the automotive industry. However, high …