2021
DOI: 10.48550/arxiv.2107.12674
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Vision-Guided Forecasting -- Visual Context for Multi-Horizon Time Series Forecasting

Abstract: Autonomous driving gained huge traction in recent years, due to its potential to change the way we commute. Much effort has been put into trying to estimate the state of a vehicle. Meanwhile, learning to forecast the state of a vehicle ahead introduces new capabilities, such as predicting dangerous situations. Moreover, forecasting brings new supervision opportunities by learning to predict richer a context, expressed by multiple horizons. Intuitively, a video stream originated from a front facing camera is ne… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 35 publications
(56 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?