Object Detection in Specific Traffic Scenes using YOLOv2
This work is incremental, applying an existing method to new, artificially designed traffic scenes without demonstrating real-world impact.
The paper applied the YOLOv2 object detection framework to four artificially designed traffic scenes (single-car, single-person, frontperson-rearcar, frontcar-rearperson) for autonomous driving, but did not report any specific performance results or numbers.
object detection framework plays crucial role in autonomous driving. In this paper, we introduce the real-time object detection framework called You Only Look Once (YOLOv1) and the related improvements of YOLOv2. We further explore the capability of YOLOv2 by implementing its pre-trained model to do the object detecting tasks in some specific traffic scenes. The four artificially designed traffic scenes include single-car, single-person, frontperson-rearcar and frontcar-rearperson.