Leading automotive companies and Tier 1 suppliers are using Collimator to stay ahead of their competition and get the most out of their ADAS systems, EVs and autonomous vehicles. From designing new EV and autonomous driving systems, to retrofitting to existing vehicles, Collimator accelerates innovation for their engineering teams.
Integrate the design of your full system into one place - navigation, guidance, controls - to gain insight into end-to-end performance
Model your vehicle in hours - not days - using our reusable function blocks, e.g., BMS, powertrain, vehicle dynamics models
Use our system design tools including PID control and MPC, automated tuning, model linearization, linear analysis, etc. to gain insights into your system faster
Derisk earlier using rapid prototyping and testing thousands of design concepts before narrowing down your specifications and system architecture
Simulate millions of runs to optimize your system's performance and test changes as you iterate e.g., tweaking BMS parameters to understand how your decisions affect size, weight, power, noise, etc.
Generate high quality embedded code directly from your model and have any system changes propagate down to the target hardware
Deploy your algorithms to service oriented architectures like ROS and dSpace with the click of a button
Reuse legacy code by integrating existing C code and test cases into your new design
Directly embed trained neural networks in your model to get end-to-end insight into your system's performance. AI and ML applications can vary from autonomous driving, ADAS, driving range estimations, etc.
Co-simulate your vehicle with unreal engine simulators such as CARLA and AirSim over millions of system level tests so you can gain confidence in your system’s performance
Perform closed loop SIL, MIL, HIL, DIL tests and store TBs of simulation results directly in your database for analysis at a later date
Get traceability of requirements down to hardware implementation and generate pass/fail reports to use as certification artifacts
Use your design as a digital twin to simulate and test OTA updates to your embedded software, train your ML and optimize performance of your vehicle
Connect to your CI/CD pipeline, e.g., Github, Jenkins, to push updated firmware to your fleet, make continuous performance improvements
Automatically generate C code for your embedded system controller
Continuously build, test and deploy updates to embedded systems
Import neural networks to deploy in your system design
Reduce risk using modeling, simulation and end-to-end traceability
Generate and export synthetic data to train neural networks
Simplify data exploration and insights gathering through automated tests