A review of motion planning for highway autonomous driving

L Claussmann, M Revilloud, D Gruyer… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …

A markov decision process framework to incorporate network-level data in motion planning for connected and automated vehicles

X Liu, N Masoud, Q Zhu, A Khojandi - Transportation Research Part C …, 2022 - Elsevier
Autonomy and connectivity are expected to enhance safety and improve fuel efficiency in
transportation systems. While connected vehicle-enabled technologies, such as coordinated …

A novel multimode hybrid control method for cooperative driving of an automated vehicle platoon

Y Ma, Z Li, R Malekian, S Zheng… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
A multimode hybrid automaton is proposed for setting vehicle platoon modes with velocity,
distance, length, lane position, and other state information. Based on a vehicle platoon shift …

Conjunctive operation of interbasin transferred water and local water in a multisource diversion-supply-allocation system

Y Ma, J Chang, A Guo, L Chen… - Journal of Water …, 2021 - ascelibrary.org
Interbasin water transfer (IBWT) projects are of great practical significance for alleviating
water shortages due to the nonuniform spatiotemporal distribution of water resources. An …

A hierarchical control framework for autonomous decision-making systems: Integrating HMDP and MPC

XF Wang, J Jiang, WH Chen - arXiv preprint arXiv:2401.06833, 2024 - arxiv.org
This paper proposes a comprehensive hierarchical control framework for autonomous
decision-making arising in robotics and autonomous systems. In a typical hierarchical …

Artificial intelligence-based trajectory planning for driverless vehicles—a review

AG Menon, S Bindu - Recent Advances in Hybrid and Electric Automotive …, 2022 - Springer
One of the hurdles in implementing self-driving automobiles is their precise decision-making
in uncertain traffic conditions. The paper reviews various Artificial Intelligence-based …

Occlusion-aware Perception and Planning for Automated Vehicles

Y Zhong - 2023 - deepblue.lib.umich.edu
The perception system is a key component of automated vehicles, as it relies on onboard
sensors to gather information. However, the system faces challenges due to occlusions that …

Decision making for autonomous vehicles: Combining safety and optimality

JJ Verbakel, M Fusco, DMC Willemsen… - IFAC-PapersOnLine, 2020 - Elsevier
In this paper, we propose a novel decision maker design for an autonomous vehicle driving
on a highway, considering safety and optimality, and which is scalable, ie, remains …

Vehicle-Human Interactive Behaviors in Emergency: Data Extraction from Traffic Accident Videos

W Liu, D Luo, C Wu, M Zheng - 2020 American Control …, 2020 - ieeexplore.ieee.org
Currently, studying the vehicle-human interactive behavior in the emergency needs a large
amount of datasets in the actual emergent situations that are almost unavailable. Existing …

A Model Predictive Control-Based Lane Changing Strategy for Autonomous Highway Driving

JH Chang - 2020 - oaktrust.library.tamu.edu
This study proposes a highway driving strategy for autonomous vehicles. First, a model
predictive control (MPC)-based trajectory planner is built based on a kinematic model. A …