Trajectory

A Trajectory specialized for trajectory data representing the evolution of a traffic participant. A trajectory is a collection of :py:class:`Pose`s.

Serialization / IO / conversion

Trajectory.from_csv(file[, indices])	Read a dictionary-alike object from a .csv file as a pandas DataFrame.
Trajectory.as_geo([position, aggregate])	Convert the trajectory to a geometric representation

Indexing

Trajectory.att(timestamps[, columns])
TrajectoryDataset.trajectory(index[, inverse])	Select trajectory data for specific indices, or exclude them if inverse is set to True.

Filtering

Trajectory.during(since, until[, include_until])

Select rows within a specific time range (include "since", exclude "until").

Analysis

Trajectory.most_likely_class

Attributes

Trajectory.attributes	Returns the dataset attributes
Trajectory.id	Returns the id in the pose
Trajectory.interval	Returns the time interval this object spans
Trajectory.timestamps	The unique timestamps in the dataframe

Note

All pandas DataFrame methods are also available.