61 citations · 89 across the 4 of their papers we have counts for
Showing 2020Show all
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cs.LG2020★ 6 cited
A Generic Framework for Clustering Vehicle Motion Trajectories
Fazeleh S. Hoseini, Sadegh Rahrovani, Morteza Haghir Chehreghani
The development of autonomous vehicles requires having access to a large amount of data in the concerning driving scenarios. However, manual annotation of such driving scenarios is…
cs.CV2020★ 61 cited
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories
Andreas Demetriou, Henrik Alfsvåg, Sadegh Rahrovani +1
We propose a unified deep learning framework for the generation and analysis of driving scenario trajectories, and validate its effectiveness in a principled way. To model and gene…