PedestrianDynamics / PedestrianDynamics/PedPy
Jitter removal
Nobody has claimed this yet.
- Dominant language
- Pascal
- Stars
- 35
- Forks
- 18
- Avg merge
- 1d 14h
- Merged PRs (30d)
- 2
Description
Summary
Introduce built-in trajectory smoothing utilities to reduce positional jitter in pedestrian trajectory data, giving users a choice between a simple moving-average filter and a Savitzky-Golay filter before running downstream analyses.
Background / Context
Recorded and simulated trajectory data often contains small frame-to-frame position noise that distorts derived quantities like speed and acceleration. Currently users must smooth data manually outside PedPy. This epic adds first-class, consistent smoothing support to the trajectory API.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the existing trajectory API and tracing how positional data reaches downstream analyses. Define the requirements for selectable moving-average and Savitzky-Golay smoothing, including how users choose a filter and how completion will be verified for both options.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100