O.N.E. for Development
"O.N.E. for Development" goes beyond pure data exchange features of a generic middleware. The platform provides:
- Deterministic data exchange
- Distributed scheduling
- Native tooling
- Cloud support
- Real-time capability
- Many HW/SW Interfaces
It has been extensively used in in testing & validation applications within aerospace and automotive industries.
Applications and data exchange are scheduled to ensure 100% test reproducibility.
Applications can access data without knowledge of data location and routing
Pub / Sub relationship can be statically configured and dynamically modified during runtime
System configuration with minimal manual effort.
Benefits and Features
Save time with O.N.E.
Due to the abstraction provided by O.N.E., system topology and HW components can be chosen and changed freely as a system matures.
Typically, an application architecture is initially developed on a single PC or a network of several PCs and then transferred to the target system. O.N.E. enables this transition with an effort close to zero.
The same low effort applies to transition from development stage to large scale real world deployment.
with built-in tooling
- Automate testing
- Evaluate performance
- Record and replay data
- Fault/Error insertion during runtime
- Automatic system configuration
- Interactive custom made panels
- System health monitoring
Build development platforms
according to your needs
For development of autonomous driving functions simply connect O.N.E. with any of your required (3rd party) components. For example:
- Environment simulation (CarMaker, aiSim etc.)
- Vehicle model
- Test Environment
- Sensor models
- AI Algorithms
- Scenario Database
O.N.E. will take care of scheduled, deterministic, real-time communication between all participants, regardless whether they are present as SW or HW.
ROS 2 interface
Benefit from O.N.E features for your ROS 2 based applications.
Unlimited scalability for your scenario based testing.
Achieve sufficient mileage for verification of your driving functions fast by executing test scenarios in parallel on a large number of cloud computers.