A human-like model to understand surrounding vehicles' lane changing intentions for autonomous driving

Y Xia, Z Qu, Z Sun, Z Li - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Autonomous vehicles have to share the road with human-driven ones for a prolonged period
in the near future. Thus, they should have the ability to understand the lane changing …

Machine learning and evolutionary techniques in interplanetary trajectory design

D Izzo, CI Sprague, DV Tailor - … in Space Engineering: State of the Art and …, 2019 - Springer
After providing a brief historical overview on the synergies between artificial intelligence
research, in the areas of evolutionary computations and machine learning, and the optimal …

Fast evaluation of low-thrust transfers via multilayer perceptions

Y Zhu, YZ Luo - Journal of Guidance, Control, and Dynamics, 2019 - arc.aiaa.org
The design of low-thrust-based multitarget interplanetary missions requires a method to
quickly and accurately evaluate the low-thrust transfer between any two visiting targets …

Thinking tomorrows' space–Research trends of the ESA advanced concepts team 2002–2012

L Summerer - Acta Astronautica, 2014 - Elsevier
This paper presents technological and conceptual visions beyond the traditional planning
horizon of space agencies. It relies on the research and reflections within the larger …

Special issue featuring selected papers from the International Workshop on Bio-Inspired Robots (Nantes, France, 6–8 April 2011)

F Boyer, C Stefanini, F Ruffier… - Bioinspiration & …, 2012 - iopscience.iop.org
We are very pleased and honoured to present this special issue of Bioinspiration &
Biomimetics that gathers a set of nine peer-reviewed articles whose results were in large …

Fast Evaluation of Low-Thrust Transfers via Deep Neural Networks

Y Zhu, Y Luo - arXiv preprint arXiv:1902.03738, 2019 - arxiv.org
The design of low-thrust-based multitarget interplanetary missions requires a method to
quickly and accurately evaluate the low-thrust transfer between any two visiting targets …