Open AccessA Literature Review on Pedestrian’s Intent Detection
Author(s) -
Kishanprasad Gunale
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.38571
Subject(s) - pedestrian , computer science , task (project management) , automotive industry , pedestrian crossing , transport engineering , engineering , systems engineering , aerospace engineering
The ability to predict the intent of the human beings walking on the street or crossing the road is one of the important safety features for intelligent cars. It has drawn the attention of automotive industry in the past few years. Estimating whether the pedestrian is going to cross the road or not is a very challenging task because there are multiple factors involved such as the speed at which the pedestrian is walking, whether he/she is walking alone or walking with someone, are they aware of the vehicle or not, etc. In this paper, we explore the different factors that affects the pedestrian’s intent while walking or crossing the road. We also explore how different techniques are used to predict the intent of the pedestrian considering those factors. This study will be helpful for designing the system which predicts pedestrian’s intent as good as the human ability to interpret the behaviour of the pedestrian. Keywords: Predict, Intent, Pedestrian, Behaviour, Interpret