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Local and Global Contextual Features Fusion for Pedestrian Intention
  Prediction

Local and Global Contextual Features Fusion for Pedestrian Intention Prediction

1 May 2023
Mohsen Azarmi
Mahdi Rezaei
Tanveer Hussain
Chenghao Qian
ArXivPDFHTML

Papers citing "Local and Global Contextual Features Fusion for Pedestrian Intention Prediction"

5 / 5 papers shown
Title
Feature Importance in Pedestrian Intention Prediction: A Context-Aware
  Review
Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review
Mohsen Azarmi
Mahdi Rezaei
He Wang
Ali Arabian
24
1
0
11 Sep 2024
A Survey of Modern Deep Learning based Object Detection Models
A Survey of Modern Deep Learning based Object Detection Models
Syed Sahil Abbas Zaidi
M. S. Ansari
Asra Aslam
N. Kanwal
M. Asghar
Brian Lee
VLM
ObjD
59
728
0
24 Apr 2021
Pedestrian Intention Prediction: A Multi-task Perspective
Pedestrian Intention Prediction: A Multi-task Perspective
Smail Ait Bouhsain
Saeed Saadatnejad
Alexandre Alahi
26
27
0
20 Oct 2020
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory
  and Practice
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice
Amir Rasouli
John K. Tsotsos
46
607
0
30 May 2018
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
201
7,902
0
13 Jun 2015
1