MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control

Boris Ivanovic; Amine Elhafsi; Guy Rosman; Adrien Gaidon; Marco Pavone

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control

Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Pages (from-to)	2243-2256
Number of pages	14
Journal	Proceedings of Machine Learning Research
Volume	155
Publication status	Published - 2020
Externally published	Yes
Event	4th Conference on Robot Learning, CoRL 2020 - Virtual, Online, United States Duration: Nov 16 2020 → Nov 18 2020

ASJC Scopus Subject Areas

Artificial Intelligence
Software
Control and Systems Engineering
Statistics and Probability

Keywords

Autonomous Vehicles
Learning Dynamical Systems
Motion Planning
Trajectory Forecasting

Cite this

@article{0018a330ad1f435191f431cc79e501c4,

title = "MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control",

keywords = "Autonomous Vehicles, Learning Dynamical Systems, Motion Planning, Trajectory Forecasting",

author = "Boris Ivanovic and Amine Elhafsi and Guy Rosman and Adrien Gaidon and Marco Pavone",

note = "Publisher Copyright: {\textcopyright} 2020 Proceedings of Machine Learning Research. All rights reserved.; 4th Conference on Robot Learning, CoRL 2020 ; Conference date: 16-11-2020 Through 18-11-2020",

year = "2020",

language = "English",

volume = "155",

pages = "2243--2256",

journal = "Proceedings of Machine Learning Research",

issn = "2640-3498",

}

TY - JOUR

T1 - MATS

T2 - 4th Conference on Robot Learning, CoRL 2020

AU - Ivanovic, Boris

AU - Elhafsi, Amine

AU - Rosman, Guy

AU - Gaidon, Adrien

AU - Pavone, Marco

PY - 2020

Y1 - 2020

KW - Autonomous Vehicles

KW - Learning Dynamical Systems

KW - Motion Planning

KW - Trajectory Forecasting

UR - http://www.scopus.com/inward/record.url?scp=85100367436&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85100367436&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85100367436

SN - 2640-3498

VL - 155

SP - 2243

EP - 2256

JO - Proceedings of Machine Learning Research

JF - Proceedings of Machine Learning Research

Y2 - 16 November 2020 through 18 November 2020

ER -

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control

ASJC Scopus Subject Areas

Keywords

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