Weather Classification by Utilizing Synthetic Data
Weather prediction from real-world images can be termed a complex task when targeting classification using neural networks. Moreover, the number of images throughout the available datasets can contain a huge amount of variance when comparing locations with the weather those images are representing....
Main Authors: | Ehsan, S. (Author), Hernández-Sabaté, A. (Author), Khanam, Z. (Author), McDonald-Maier, K. (Author), Minhas, S. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
WeatherEye-Proposal of an Algorithm Able to Classify Weather Conditions from Traffic Camera Images
by: Khouloud Dahmane, et al.
Published: (2021-06-01) -
Research on the fuel consumption conservation potential of ADAS on passenger cars
by: Qian Guogang, et al.
Published: (2021-01-01) -
Collision Imminent Steering at High Speeds on Curved Roads Using One-Level Nonlinear Model Predictive Control
by: John Wurts, et al.
Published: (2021-01-01) -
Automatic Information and Safety Systems for Driving Assistance
by: Miguel Riem Oliveira
Published: (2014-06-01) -
Collision Avoidance via Adaptive Trajectory Control in Case of a Sudden Decrease in the Maximum Road Friction Coefficient
by: Hasan Şahin
Published: (2017-10-01)