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RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features

RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features

J. Lorenzo
Ignacio Parra
F. Wirth
Christoph Stiller
David Fernández Llorca
Miguel Ángel Sotelo
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Papers citing "RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features"

6 / 6 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
44
1
0
11 Sep 2024
On-Board Pedestrian Trajectory Prediction Using Behavioral Features
On-Board Pedestrian Trajectory Prediction Using Behavioral Features
Phillip Czech
Markus Braun
U. Kressel
Bin Yang
21
8
0
21 Oct 2022
Testing predictive automated driving systems: lessons learned and future recommendations
Testing predictive automated driving systems: lessons learned and future recommendations
Ruben Izquierdo Gonzalo
Carlota Salinas Maldonado
J. Ruiz
Ignacio Parra Alonso
David Fernández Llorca
Miguel Ángel Sotelo
32
10
0
25 Apr 2022
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
348
10,237
0
16 Nov 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
469
15,657
0
02 Nov 2015
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
239
7,921
0
13 Jun 2015