Trajectory Learning

Some elements on trajectory learning (clustering), the results of which are motion patterns

Methods

TBD

Resources

Literature

• A survey of vision-based trajectory learning and analysis for surveillance, Brendan Tran Morris, Mohan Manubhai Trivedi https://pdfs.semanticscholar.org/770f/736020c916e69c1e07252ba5f8473319f765.pdf
• Past work http://n.saunier.free.fr/saunier/data/saunier07itsc.html http://n.saunier.free.fr/saunier/stock/12-06-13-sticanada.pdf
  • PhD work by Mohamed Gomaa Mohamed https://publications.polymtl.ca/1784/ (chapter 3.3.2 and results in 4.4) https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2017-48.pdf (technical report)
• Alternative work by Heather Twaddle http://mediatum.ub.tum.de/node?id=1366878 (chapter 4)
• MSc thesis by Laurent Boucaud on motion prediction (to be published)

Data

• Sample in the Traffic Intelligence project https://bitbucket.org/Nicolas/trafficintelligence/downloads/laurier.sqlite
• Intersection of Guy and René Lévesque, collected by Mohamed Gomaa Mohamed
• Former projects: roundabout safety, partially and completely stop-sign controlled intersections
• Public_Transportation_Datasets, including argoverse, HighD and NGSIM trajectories https://catalog.data.gov/dataset/next-generation-simulation-ngsim-vehicle-trajectories/resource/1c4179aa-cfbf-4de6-a20a-4ba8cb92f481

Tools

• PythonResources, in particular scikit-learn for machine learning
• Traffic Intelligence for trajectory loading from various formats (in particular the tracker from the Traffic Intelligence project) https://bitbucket.org/Nicolas/trafficintelligence/