Release Notes
Unreleased
Breaking Changes
New Features
Bug Fixes
Map Parser
Fixed bugs in XODR and OSM parsers.
Improvements
Template
## Version X.Y.Z
[Date]
A concise description that overviews the changes in this release.
### Breaking Changes
A complete list of breaking changes (preferably there are none, unless this is a major version).
### New Features
Describe the new feature and when/why to use it. Add some pictures! Call out any caveats/warnings? Is it a beta feature?
### Bug Fixes
Call out any existing feature/functionality that now works as intended or expected.
### Improvements
Improvements/enhancements to a workflow, performance, logging, error messaging, or user experience
Version 0.1.6
April 1st, 2024
The first release of the project.
New Features
Dataset Parser
Support parsing maps and trajectories from the following datasets:
- HighD
- InD
- RounD
- ExiD
- Argoverse
- Dragon Lake Parking (DLP)
- INTERACTION
- NuPlan
- WOMD
Map Parser
Support parsing maps in the following formats:
- OpenStreetMap (OSM)
- OpenStreetMap annotated in Lanelet2
- OpenDRIVE (XODR)
Math Interpolation Algorithms
Support the following interpolation algorithms:
- B-Spline
- Bezier
- Cubic
- Spiral
- Dubins
- Reeds Shepp
Traffic Participant
The following traffic participants are implemented:
- Vehicle
- Cyclist
- Pedestrian
For each traffic participants, a set of parameters are available to configure the behavior.
Physics Model
The following physics model of traffic participants are supported:
- Bicycle model (Kinematic): recommended for cyclists and low-speed vehicles
- Bicycle model (Dynamic): recommended for cyclists and high-speed vehicles
- Point mass (Kinematic): recommended for pedestrians
- Single-track drift model (Dynamic): recommended for vehicles
Road Element
The following road elements are implemented:
- Lane
- Area
- Junction
- Road line
- Base class of traffic regulations
Traffic Event Detection
- Static collision detection
- Dynamic collision detection
- Arrival event detection
Sensor
- Bird-eye-view (BEV) semantic segmentation RGB image
- Single-line LiDAR point cloud