Social LSTM implementation in PyTorch
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Updated
Apr 26, 2020 - Python
Social LSTM implementation in PyTorch
[ITS'21] Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.
Social LSTM using PyTorch for Vehicle Data
PyTorch implementation for Social-LSTM, which is built to predict multi-vessel trajectories.
Intelligent Robot Navigation in Crowded Environments
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