EMA-GhostConv YOLOv8 Based Enhanced Vehicle Detection in Intelligent Transportation Applications

Key Points

• The aim is to improve the detection accuracy of vehicles in intelligent transportation applications using YOLOv8 with enhancements.
• Analyzed vehicle detection performance with YOLOv8
• Integrated EMA-GhostConv to refine detection algorithms
• Conducted tests in simulated intelligent transportation scenarios
• Showed significant improvements in detection accuracy compared to standard YOLOv8
• Achieved faster processing times suitable for real-time applications
• Enhanced vehicle detection rates in complex traffic situations