“synkrotron_logo” # 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. --- “synkrotron_logo”

## [__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 |