Self-driving cars: A survey

C Badue, R Guidolini, RV Carneiro, P Azevedo… - Expert systems with …, 2021 - Elsevier
We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …

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 …

[HTML][HTML] Perception, planning, control, and coordination for autonomous vehicles

SD Pendleton, H Andersen, X Du, X Shen, M Meghjani… - Machines, 2017 - mdpi.com
Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …

A review of motion planning techniques for automated vehicles

D González, J Pérez, V Milanés… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Intelligent vehicles have increased their capabilities for highly and, even fully, automated
driving under controlled environments. Scene information is received using onboard …

Research advances and challenges of autonomous and connected ground vehicles

A Eskandarian, C Wu, C Sun - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

A motion planning and tracking framework for autonomous vehicles based on artificial potential field elaborated resistance network approach

Y Huang, H Ding, Y Zhang, H Wang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
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 …

[HTML][HTML] Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions

C Katrakazas, M Quddus, WH Chen, L Deka - Transportation Research Part …, 2015 - Elsevier
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 …

Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach

X Qu, Y Yu, M Zhou, CT Lin, X Wang - Applied Energy, 2020 - Elsevier
It has been well recognized that human driver's limits, heterogeneity, and selfishness
substantially compromise the performance of our urban transport systems. In recent years, in …

[HTML][HTML] A review of motion planning algorithms for intelligent robots

C Zhou, B Huang, P Fränti - Journal of Intelligent Manufacturing, 2022 - Springer
Principles of typical motion planning algorithms are investigated and analyzed in this paper.
These algorithms include traditional planning algorithms, classical machine learning …

Baidu apollo em motion planner

H Fan, F Zhu, C Liu, L Zhang, L Zhuang, D Li… - arXiv preprint arXiv …, 2018 - arxiv.org
In this manuscript, we introduce a real-time motion planning system based on the Baidu
Apollo (open source) autonomous driving platform. The developed system aims to address …