Object Detection in Dense and Mixed Traffic for Autonomous Vehicles with Modified YOLO

The Vision for Autonomous Vehicles and Core Role of Object Detection; Challenges in Dense and Mixed Traffic Environments; A Novel Indonesian Traffic Dataset for Training; YOLO: Baseline and Limitations in Complex Scenarios; Introducing YOLOv7-MOD: An Enhanced Solution; Key Modifications: Deformable Convolution and Soft NMS; Dataset Training and Transfer Learning Methodology; Performance Evaluation: Recall, Precision, and F1-Score; Impact on Autonomous Systems and Future Directions