Comments and Corrections Corrections to “YOLOv8-SCS: Improved Object Detection for Autonomous Driving Under Adverse Weather Conditions”

Key Points

• The aim is to address and clarify issues in the YOLOv8-SCS paper regarding object detection algorithms for autonomous vehicles in challenging weather.
• Review of existing findings in YOLOv8-SCS paper
• Identification of errors and omissions
• Revisions to specific algorithm parameters and descriptions
• Clarifications enhance understanding of object detection performance
• Corrections are expected to improve algorithm reliability
• Overall adjustments help in applying the technology in real-world scenarios