Shadow Removal for Enhanced Nighttime Driving Scene Generation
Autonomous vehicles depend on robust vision systems capable of performing under diverse lighting conditions, yet existing models often exhibit substantial performance degradation when applied to nighttime scenarios after being trained exclusively on daytime data. This discrepancy arises from the lac...
Saved in:
| Main Authors: | Heejun Yang, Oh-Hyeon Choung, Yuseok Ban |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/23/10999 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Combining the Improved RGB Water-Filling Algorithm With Penumbra Removal Technique for Shadow Removal From Digitized Images
by: You-Chang Liu, et al.
Published: (2025-01-01) -
A Nighttime Driving-Scene Segmentation Method Based on Light-Enhanced Network
by: Lihua Bi, et al.
Published: (2024-10-01) -
Feature separation and non-shadow information-guided shadow removal network
by: HUANG Ying, et al.
Published: (2024-05-01) -
Dataset for small object detection with shadow (SODwS)Mendeley Data
by: Shahbe Mat-Desa, et al.
Published: (2025-06-01) -
Enhancing Building Segmentation With Shadow-Aware Edge Perception
by: Ying Yu, et al.
Published: (2025-01-01)