The development of autonomous vehicle is an important and active research area. In the last
few years, pedestrian detection methods for a moving camera have been severely …

Safety is of utmost importance for perception in automated driving (AD). However, a prime
safety concern in state-of-the-art object detection is that standard evaluation schemes utilize …

Pedestrian detection is an increasingly interest research in computer vision with the
challenging problem under complex background and occluded appearance in real world …

This paper presents an image processing based pedestrian detection system for day and
night contributing to Advance Driver Assistance System (ADAS). The process, Histogram of …

In image processing, detecting and tracking air targets (especially drones) is attainable. The
present study focuses on drone detection using the combination of optical flow and …

False identification of pedestrian detection in autonomous driving can potentially lead to
traffic accidents. The traditional visible light detection method is difficult to detect accurately …

I would first like to thank my thesis advisor Professor Robert X. Gao, who is also the chair of
Mechnical and Aerospace Engineering (EMAE) department at Case Western Reserve …

Detecting pedestrians in an image is a useful technique in the development of the Intelligent
Transportation System (ITS). Histogram of Oriented Gradient (HOG) is widely used as a …

Monocular vision robots use a single camera to process information about its environment.
By analyzing this scene, the robot can determine the best navigation direction. Many modern …

The aim of this chapter is to introduce background information, existing problem and
research objective that lead to comprehend an importance of this dissertation, which entitled …