Prediction of Pedestrian Road Crossing Intention Using Deep Learning: A Review

Abstract

Nowadays, Pedestrian are the most vulnerable road users which are highly prone to road accidents with vehicles. Pedestrian road crossing intention recognition plays a crucial role in ensuring the safety of both pedestrians and drivers. In Advanced Driver Assistance System (ADAS) in vehicles, Detection and Prediction is the challenging task in this system we proposed advanced Deep Learning and Computer vision-based model for pedestrian detection and prediction. A You Only Look Once (YO-LO) algorithm is used for detection of pedestrian. Convolutional Neural Network (CNN) used to predict the intention of pedestrian. JAAD Dataset is used for system training and testing.