Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

13 May 2020

Papers citing "Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs"

10 / 10 papers shown

Title
GTransPDM: A Graph-embedded Transformer with Positional Decoupling for Pedestrian Crossing Intention Prediction Chen Xie Ciyun Lin Xiaoyu Zheng Bowen Gong Dayong Wu ViT 33 0 0 30 Sep 2024
Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review Mohsen Azarmi Mahdi Rezaei He Wang Ali Arabian 24 1 0 11 Sep 2024
Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior Chenchao Zhou Ghassan AlRegib Armin Parchami Kunjan Singh 37 2 0 14 Jan 2023
Is attention to bounding boxes all you need for pedestrian action prediction? Lina Achaji Julien Moreau Thibault Fouqueray François Aioun François Charpillet 16 30 0 16 Jul 2021
Coupling Intent and Action for Pedestrian Crossing Behavior Prediction Yu Yao E. Atkins Matthew Johnson-Roberson Ram Vasudevan Xiaoxiao Du 21 33 0 10 May 2021
Detecting 32 Pedestrian Attributes for Autonomous Vehicles Taylor Mordan Matthieu Cord P. Pérez Alexandre Alahi 22 22 0 04 Dec 2020
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction Tiffany Yau Saber Malekmohammadi Amir Rasouli P. Lakner Mohsen Rohani Jun-Jie Luo 14 21 0 03 Dec 2020
Multi-Modal Hybrid Architecture for Pedestrian Action Prediction Amir Rasouli Tiffany Yau Mohsen Rohani Jun-Jie Luo 29 43 0 16 Nov 2020
Recognition and 3D Localization of Pedestrian Actions from Monocular Video Jun Hayakawa Behzad Dariush 19 10 0 03 Aug 2020
Agreeing to Cross: How Drivers and Pedestrians Communicate Amir Rasouli Iuliia Kotseruba John K. Tsotsos 3DV 43 198 0 12 Feb 2017