Human Trajectory Prediction in Socially Interacting Crowds Using a CNN-based Architecture
-
Updated
Mar 24, 2019 - Python
Human Trajectory Prediction in Socially Interacting Crowds Using a CNN-based Architecture
A traffic simulation software based on SUMO that incorporates driver behavior.
In this repository, one can find the code for my master's thesis project. The main goal of the project was to study and improve attention mechanisms for trajectory prediction of moving agents.
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.
This is the codebase for our ICRA 2020 submission, GraphRQI: Classifying Driver Behaviors Using Graph Spectrums.
A tool set for trajectory prediction, ready for pip install
Analysing Adversarial Loss of Social GAN
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)
A python implementation of multi-model estimation algorithm for trajectory tracking and prediction, research project from BMW ABSOLUT self-driving bus project.
(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving
The project involves building a scenario consisting of a Thrower and a Goalie robot arms. The thrower moves to the desired position and throws the ball while the task of the goalie is to intercept and block the incoming ball from making a goal.
The official repository for the CVPR 2019 paper "Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction"
lstm-rnn, seq2seq model and attention-seq2seq model for vessel trajectory prediction.
Building on the work of Social STGCNN we introduce Multi-Class Social STGCNN to include class information into trajectory prediction to improve the accuracy.
PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"
Code for "Transformer Networks for Trajectory Forecasting"
The official PyTorch code implementation of "Human Trajectory Prediction via Counterfactual Analysis" in ICCV 2021.
An implementation of LaneGCN (Learning Lane Graph Representations for Motion Forecasting)
Add a description, image, and links to the trajectory-prediction topic page so that developers can more easily learn about it.
To associate your repository with the trajectory-prediction topic, visit your repo's landing page and select "manage topics."