Survey of Pedestrian Detection forAdvanced Driver Assistance Systems

Survey of Pedestrian Detection for

Advanced Driver Assistance Systems

Advanced driver assistance systems (ADASs), and particularly pedestrian protection systems (PPSs), have become an

active research area aimed at improving traffic safety. The major challenge of PPSs is the development of reliable on-board pedestrian

detection systems. Due to the varying appearance of pedestrians (e.g., different clothes, changing size, aspect ratio, and dynamic

shape) and the unstructured environment, it is very difficult to cope with the demanded robustness of this kind of system. Two

problems arising in this research area are the lack of public benchmarks and the difficulty in reproducing many of the proposed

methods, which makes it difficult to compare the approaches. As a result, surveying the literature by enumerating the proposals

one-after-another is not the most useful way to provide a comparative point of view. Accordingly, we present a more convenient

strategy to survey the different approaches. We divide the problem of detecting pedestrians from images into different processing

steps, each with attached responsibilities. Then, the different proposed methods are analyzed and classified with respect to each

processing stage, favoring a comparative viewpoint. Finally, discussion of the important topics is presented, putting special emphasis

on the future needs and challenge.

Read more : https://www.researchgate.net/publication/44617776_Survey_of_Pedestrian_Detection_for_Advanced_Driver_Assistance_Systems