Compare Simulink vs. Tronis

Develop and test your system using Simulink prior to implementing it on actual hardware. This allows you to explore and apply innovative designs that might typically be overlooked, all without the need to engage in C, C++, or HDL programming. By modeling both the system you are testing and the physical plant, you can investigate a broader design landscape. Your entire team can benefit from a unified multi-domain platform that simulates the interactions of all system components. You can also package and share your simulation results with team members, suppliers, and clients for collaborative feedback. This approach helps minimize costly prototypes by allowing you to experiment with scenarios that might otherwise be deemed too risky or impractical. Use hardware-in-the-loop testing and rapid prototyping to confirm your design's effectiveness. With this method, you can ensure traceability throughout the process, from requirements gathering to design and code development. Rather than manually crafting thousands of lines of code, you can automatically generate high-quality C and HDL code that mirrors your original Simulink model. Finally, deploy this code directly onto your embedded processor or FPGA/ASIC for seamless integration and operation. This comprehensive approach not only streamlines development but also enhances overall project efficiency.

Tronis serves as a platform for virtual prototyping and for ensuring the safety of driver assistance technologies, particularly in the realm of highly automated or fully autonomous vehicles. Utilizing an advanced 3D game engine, it allows for the effective simulation of real-world driving conditions and traffic situations, which can be utilized for testing purposes, such as assessing camera and radar-based environmental perception. This innovative approach can greatly expedite the development process of these systems while minimizing the reliance on physical prototypes. Consequently, it offers a cost-effective solution that enhances the efficiency of creating safer autonomous driving technologies.