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Learning to Segment and Represent Motion Primitives from Driving Data
  for Motion Planning Applications

Learning to Segment and Represent Motion Primitives from Driving Data for Motion Planning Applications

17 September 2018
Boyang Wang
Jian-wei Gong
Ruizeng Zhang
Huiyan Chen
ArXiv (abs)PDFHTML

Papers citing "Learning to Segment and Represent Motion Primitives from Driving Data for Motion Planning Applications"

3 / 3 papers shown
Title
Multimodal Driver State Modeling through Unsupervised Learning
Multimodal Driver State Modeling through Unsupervised Learning
A. Tavakoli
Arsalan Heydarian
45
27
0
04 Oct 2021
Dynamic Movement Primitives in Robotics: A Tutorial Survey
Dynamic Movement Primitives in Robotics: A Tutorial Survey
Matteo Saveriano
Fares J. Abu-Dakka
Aljaz Kramberger
L. Peternel
107
174
0
07 Feb 2021
Regeneration and Joining of the Learned Motion Primitives for Automated
  Vehicle Motion Planning Applications
Regeneration and Joining of the Learned Motion Primitives for Automated Vehicle Motion Planning Applications
Boyang Wang
Jian-wei Gong
Wenli Liang
Huiyan Chen
11
2
0
04 Jul 2019
1