CAPformer: Pedestrian Crossing Action Prediction Using Transformer

CAPformer: Pedestrian Crossing Action Prediction Using Transformer

Anticipating pedestrian crossing behavior in urban scenarios is a challenging task for autonomous vehicles. Early this year, a benchmark comprising JAAD and PIE datasets have been released. In the benchmark, several state-of-the-art methods have been ranked. However, most of the ranked temporal mode...

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Bibliographic Details
Main Authors: Javier Lorenzo, Ignacio Parra Alonso, Rubén Izquierdo, Augusto Luis Ballardini, Álvaro Hernández Saz, David Fernández Llorca, Miguel Ángel Sotelo
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
pedestrian
prediction
action classification
transformer
deep learning
autonomous vehicles
Online Access:https://www.mdpi.com/1424-8220/21/17/5694

Internet

https://www.mdpi.com/1424-8220/21/17/5694

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