PIP-Net: Pedestrian Intention Prediction in the Wild

arXiv:2402.12810v1 Announce Type: cross
Abstract: Accurate pedestrian intention prediction (PIP) by Autonomous Vehicles (AVs) is one of the current research challenges in this field. In this article, we introduce PIP-Net, a novel framework designed to predict pedestrian crossing intentions by AVs in real-world urban scenarios. We offer two variants of PIP-Net designed for different camera mounts and setups. Leveraging both kinematic data and spatial features from the driving scene, the proposed model employs a recurrent and temporal attention-based solution, outperforming …

abstract article arxiv autonomous autonomous vehicles challenges cs.ai cs.cv cs.ne current eess.iv framework novel pedestrian pip prediction research stat.ml type urban variants vehicles world