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 …
that they will sell their driving automation modes in the 2020s. This technology raises …
A review of motion planning techniques for automated vehicles
Intelligent vehicles have increased their capabilities for highly and, even fully, automated
driving under controlled environments. Scene information is received using onboard …
driving under controlled environments. Scene information is received using onboard …
A motion planning and tracking framework for autonomous vehicles based on artificial potential field elaborated resistance network approach
This paper presents a novel motion planning and tracking framework for automated vehicles
based on artificial potential field (APF) elaborated resistance approach. Motion planning is …
based on artificial potential field (APF) elaborated resistance approach. Motion planning is …
[HTML][HTML] Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions
Currently autonomous or self-driving vehicles are at the heart of academia and industry
research because of its multi-faceted advantages that includes improved safety, reduced …
research because of its multi-faceted advantages that includes improved safety, reduced …
Developing a deep Q-learning and neural network framework for trajectory planning
VSR Kosuru, AK Venkitaraman - European Journal of Engineering and …, 2022 - ej-eng.org
Autonomy field, every vehicle is occupied with some kind or alter driver assist features in
order to compensate driver comfort. Expansion further to fully Autonomy is extremely …
order to compensate driver comfort. Expansion further to fully Autonomy is extremely …
Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
industrial research because of various advantages such as safety improvement, lower …
Connected and automated road vehicles: state of the art and future challenges
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 …
vehicles that may utilise wireless vehicle-to-everything (V2X) connectivity. The appropriate …
Real-time trajectory planning for autonomous urban driving: Framework, algorithms, and verifications
This paper focuses on the real-time trajectory planning problem for autonomous vehicles
driving in realistic urban environments. To solve the complex navigation problem, we adopt …
driving in realistic urban environments. To solve the complex navigation problem, we adopt …
Development of a new integrated local trajectory planning and tracking control framework for autonomous ground vehicles
This study proposes a novel integrated local trajectory planning and tracking control
(ILTPTC) framework for autonomous vehicles driving along a reference path with obstacles …
(ILTPTC) framework for autonomous vehicles driving along a reference path with obstacles …
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 …