Title
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty
Abstract
The ability to make educated predictions about their surroundings, and associate them with certain confidence, is important for intelligent systems, like autonomous vehicles and robots. It allows them to plan early and decide accordingly. Motivated by this observation, in this letter we utilize information from a video sequence with a narrow field-of-view to infer the scene at a wider field-of-vie...
Year
DOI
Venue
2021
10.1109/LRA.2021.3067848
IEEE Robotics and Automation Letters
Keywords
DocType
Volume
Uncertainty,Extrapolation,Estimation,Cameras,Logic gates,Image synthesis,Three-dimensional displays
Journal
6
Issue
ISSN
Citations 
3
2377-3766
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Liqian Ma11346.90
Stamatios Georgoulis200.34
Xu Jia300.34
Luc Van Gool4275661819.51