Skip to main content

DistNav crowd navigation toolbox

Project description

Introduction

This repository contains related code for the RSS 2021 paper "Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation" by Muchen Sun, Francesca Baldini, Pete Trautman and Todd Murphey.

Tutorials

We provide a Jupyter notebook tutorials for our algorithm. You can find them under the "notebooks" directory.

  • Tutorial 1: distribution space coupling in one-dimensional space: In the first tutorial, we will build from scratch on a one-dimensional two-agents toy example to show how DistNav optimization works. We will show both the analytical solution with numerical integration and approximated solution with sampling and Monte-Carlo integration, and how they can match with each other. You can find a copy of the notebook in Google Colaboratory here.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

distnav-0.0.1.tar.gz (2.9 kB view hashes)

Uploaded Source

Built Distribution

distnav-0.0.1-py3-none-any.whl (15.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page