hybrid-feature-fusion

Developed by

https://arxiv.org/abs/2203.02489

Code repository

Readme

Documentation

Created: 17/02/2022

Published: 10/04/2022

This software has a level 3 in FAIR practice.

Overview

PyTorch implementation of paper Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion by Dongxu Guo , Taylor Mordan and Alexandre Alahi. The project is conducted within École Polytechnique Fédérale de Lausanne (EPFL), Visual Intelligence for Transportation (VITA).

Feature list

Processing

Supporting Data

pedestrian-transition-dataset

Dataset used to train and test the model (videos)

Technical Details

Software requirements

Programming languages

Contact & Support

Authors & publications

Alexandre Alahi

EPFL

Dongxu Guo

None

Taylor Mordan

None

A project by