Trajectory Learning
De Transport
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/
