https://github.com/carla-simulator/carla
- HEAD
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Tip revision: 3939762c2e25b7d5090da11d2792bcc6d6e5231b authored by Xavier Solé Nogués on 19 February 2024, 10:13:48 UTC
Merge branch 'xavisolesoft/make-pythonapi-compatible-with-anaconda' of https://github.com/carla-simulator/carla into xavisolesoft/make-pythonapi-compatible-with-anaconda
Merge branch 'xavisolesoft/make-pythonapi-compatible-with-anaconda' of https://github.com/carla-simulator/carla into xavisolesoft/make-pythonapi-compatible-with-anaconda
Tip revision: 3939762
ecosys_synkrotron.md
<img src="../img/synkrotron.jpg" alt= “synkrotron_logo” style="display: block; margin-left: auto; margin-right: auto; width: 70%;">
# Synkrotron simulation solutions
Synkrotron provides advanced solutions for autonomous driving simulation built on top of CARLA. Synkrotron's product suite OASIS supports a broad range of applications including scenario generation, sensor modelling, traffic simulation and data management. Based on a flexible architecture OASIS can be deployed on the cloud at scale, or in a developer's local environment for prototyping.
---
<img src="../img/oasis_logo.png" alt= “synkrotron_logo” style="display: block; margin-left: auto; margin-right: auto; width: 70%;">
<div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; max-width: 100%; height: auto;">
<iframe src="https://www.youtube.com/embed/YRI67aar3S0" frameborder="0" allowfullscreen style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;"></iframe>
</div>
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## [__OASIS simulation platform__](https://www.synkrotron.ai/sim.html)
OASIS Sim is a fully-fledged, scalable simulation platform with CARLA at its core. It supports the complete life-cycle of AD simulation:
- scenario import & editing with a graphical user interface
- sensor configuration
- distributed task management
- diagnosis through rich simulation data and logs
Both cloud and local deployment are available through containerized packaging. Comprehensive APIs are exposed for integration with DevOps too. You can [request a trial](https://synkrotron.ai/contact.html) from Synkrotron.
## [__OASIS data platform__](https://www.synkrotron.ai/data.html)
OASIS Data is a platform for managing the high volume of data flowing through the autonomous driving R&D pipeline. Data-driven development of AD systems are made possible with OASIS Data via the following functionalities:
* data acquisition and anonymization
* multi-stage filtering based on structured data (CAN bus signals, active-safety triggering, etc.) and unstructured data (sensor readings)
* information mapping and environment reconstruction with LIDAR and/or vision-only strategy
* auto-labeling of data with pre-trained perception models
* scenario tagging and reconstruction with OpenX format output
The processed data from the platform supports downstream applications such as scenario re-simulation with Oasis Sim, retraining of perception models with new labeled data and operational fleet management.
## __Synkrotron Tools and Services__
In addition to the complete solutions introduced above, Synkrotron also offers the following developer tools and services to facilitate AD simulation development.
| Product/service | Description |
| -----------| ------ |
| __Sensor model__: fish-eye camera | Fisheye camera with configurable distortion parameters |
| __Sensor model__: LIDAR | Advanced lidar model with configurable shutter mode and material reflections |
| __SOTIF__ scenario generation tool | Given the ODD description from user, identify important scenario elements and generate critical scenarios to help uncover unknown unsafe domains of the autonomous driving systems, achieved by using an ontology-based method combined with iterative optimizations against evaluations in Carla |
| __Map creation__ | Given lidar scan data (can also provide road-test data collection equipments & service), create HD maps for the user and output OpenDrive files which can be loaded in Carla for PnC tests or logsim |
| __Sensor model__: physics models for camera | Supports CMOS simulations and outputs 12bit raw sensor data, for customers who develop ISP algorithms or who has ECUs that need raw data from camera instead of RGBs |
| __Static scene creation__ | Combined HD mapping, 3D asset development and procedural modeling to create 3D static scenes/digital twins for users |
| __Dynamic scenario reconstruction__ | On top of static scenes, also detect and track various traffic participants from user's road-test data; the recovered trajectories/behaviors are turned into OpenScenario 1.0 files and can be re-simulated in CARLA |