Dave Ferguson’s scientific contributions

... Han et al (15) proposed a fusion system combining LIDAR and color camera for detection., and improved the detection accuracy by improving the YOLO algorithm. Kuang et al (16) effectively improved the performance of pedestrian detection by extending the original YOLOv3 structure and newly defining the loss function.Sermanet al (17) proposed a convolutional sparse coding unsupervised model for pedestrian detection.Angelova et al. (18) merged the concept of fast cascades and depth networks to achieve pedestrian detection. Li et al (19) detect pedestrians using multiple built-in subnet adaptive scales.Cai et al (20) combined highly diverse features of complexity in order to design a complex perceptual cascade detector that could be used for detecting pedestrians.Wang et al (21) suggested a definition for the Repulsion loss function, which could be utilized for detecting pedestrians who are occluded. ...

Reference:

Pedestrian detection algorithm based on improved YOLOv3