Connected and automated road vehicles: state of the art and future challenges

T Ersal, I Kolmanovsky, N Masoud, N Ozay… - Vehicle system …, 2020 - Taylor & Francis
The state of the art of modelling, control, and optimisation is discussed for automated road
vehicles that may utilise wireless vehicle-to-everything (V2X) connectivity. The appropriate …

Dynamic trajectory planning and tracking for autonomous vehicle with obstacle avoidance based on model predictive control

S Li, Z Li, Z Yu, B Zhang, N Zhang - Ieee Access, 2019 - ieeexplore.ieee.org
In this study, an obstacle avoidance controller based on nonlinear model predictive control
is designed in autonomous vehicle navigation. The reference trajectory is predefined using …

Coordinating tire forces to avoid obstacles using nonlinear model predictive control

M Brown, JC Gerdes - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
In order to safely navigate highly dynamic scenarios, automated vehicles must be able to
react quickly to changes in the environment and be able to understand trade-offs between …

Real-time identification and avoidance of simultaneous static and dynamic obstacles on point cloud for UAVs navigation

H Chen, P Lu - Robotics and Autonomous Systems, 2022 - Elsevier
Avoiding hybrid obstacles in unknown scenarios with an efficient flight strategy is a key
challenge for unmanned aerial vehicle applications. In this paper, we introduce a more …

Autonomous racing with multiple vehicles using a parallelized optimization with safety guarantee using control barrier functions

S He, J Zeng, K Sreenath - 2022 International conference on …, 2022 - ieeexplore.ieee.org
This paper presents a novel planning and control strategy for competing with multiple
vehicles in a car racing scenario. The proposed racing strategy switches between two …

Collision imminent steering at high speed using nonlinear model predictive control

J Wurts, JL Stein, T Ersal - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Collision imminent steering is an automotive active safety feature designed to perform an
aggressive lane change to avoid a forward collision in the event that the system determines …

Who's the boss? Arbitrating control authority between a human driver and automation system

A Bhardwaj, AH Ghasemi, Y Zheng, H Febbo… - … research part F: traffic …, 2020 - Elsevier
Progress toward the fully automated highway will first require that manual and automatic
control be successfully combined. Determining a combination that preserves the best …

To smart city: Public safety network design for emergency

S Wan, J Lu, P Fan, KB Letaief - IEEE access, 2017 - ieeexplore.ieee.org
In smart cities, there are always unpredicted emergencies, which must be handled to
maintain the regular order. Then a smart system is needed to detect threats and deal with …

Terrain adaptive trajectory planning and tracking on deformable terrains

J Dallas, MP Cole, P Jayakumar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this work, a novel single-level adaptive trajectory planner and tracking controller is
developed for off-road autonomous vehicles operating on deformable terrains. Trajectory …

MPC-based unified trajectory planning and tracking control approach for automated guided vehicles

J Li, M Ran, H Wang, L Xie - 2019 IEEE 15th International …, 2019 - ieeexplore.ieee.org
Autonomous navigation of Automated Guided Vehicles (AGVs) in manufacturing
environment is an important part of industrial automation. This paper presents an MPC …