Contains the code for "Generative Modeling of Multimodal Multi-Human Behavior" by Boris Ivanovic, Edward Schmerling, Karen Leung, and Marco Pavone.
-
Updated
Feb 10, 2019 - Jupyter Notebook
Contains the code for "Generative Modeling of Multimodal Multi-Human Behavior" by Boris Ivanovic, Edward Schmerling, Karen Leung, and Marco Pavone.
Human Trajectory Prediction in Socially Interacting Crowds Using a CNN-based Architecture
Robot Navigation in Crowds via Meta-learning
Use HMM to solve the problem of vehicle trajectory prediction
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.
A deep generative model to predict aircraft actual trajectories using high dimensional weather data
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
Modelling marine traffic in the ice-covered Baltic Sea using AIS data
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.
Dataset from the paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction"
A repository to work on ECE 285 project, Spring 2020 at UCSD.
A trajectories dataset with associated occupancy maps
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."