Automotive R&D Tools

Automotive R&D Tools

The Cross-Domain Automotive and Robotics Developer Platform, or XDP for short, aims to redefine the landscape of automotive software development.

XDP contains:

  • PAMAS – Industrial Process Automation with GenAI Multi-Agent System – Especially in automotive R&D, we find a large number of processes that are text-based and therefore require a lot of manual effort, such as requirements engineering, test case creation, documentation and reporting.


  • NIMsys – Networked Intelligent Mobile System for HAD Testing – Connecting simulation and proving ground: Design and verify test scenarios in the simulation, then transfer them to automated test vehicles and robots on the proving ground.

  • AIBOX – Automotive IoT Box for Testing: The AIBOX connects the car to the cloud, or in a test car the ECUs-under-test. With this the engineers in the lab can immediately check and keep track of the system parametrization and status without all accompanying the vehicle.

  • INtest – Automotive ECU Injection Testing: Man-in-the-middle data injection and manipulation between ECUs to test behavior of algorithms to added or removed objects.

  • Scenario Recorder – Event-trigger for Scenario Recording: With the AIBox in the car we not only enable access to the vehicle on the road but also facilitate selective data recording: no need to record 100s of km to capture that one corner case. The intelligent trigger with a ring buffer records the minute before and after the trigger.

  • ROS Live Browser – ROS architecture and data flow visualization over-the-air: dynamic visualization of the architecture, explore the nodes and the data flow on the edges. Configuring 2D, 3D and Text widgets to keep on track. Parameter Database and history for deterministic testing.

  • ADS – Architecture Design Studio (Tool and Middleware), AUTOSAR and SW-Architecture in one single tool, connected with runtime middleware for immediate execution and testing out of the design tool. Deployment to different target OS and middlewares.


Bridging different AI Ecosystems

XDP integrates several different AI Ecosystems, such as, but not limited to Nvidia and Horizon Robotics TogetherOS. By this we strive to make the systems comparable to enable our customers to make educated decisions. Furthermore, we want to enable our customers to cross-deploy one AI algorithm on different AI Ecosystems with as low porting effort as possible.

Exploring the Key Features of XDP

• Graphical architecture design
• Code generation for different frameworks
• Compatibility with ROS, TogetherOS (Horizon Robotics AI Middleare and Ecosystem), Autoware© and Autosar
• Middleware integration and configuration – even connecting different middleware in on system
• Functional Safety Middleware
• SW components live monitoring in simulation or re-simulation, live visualization of communication data
• Interactive architecture visualization which is connected to the live system
• Device management, remote data access to the target ECUs or devices for over-the-air flashing and configuration
• Remote debugging over-the-air with various protocols like XCP and also by using physical debuggers remotely
• AI-aided design, code analysis and debugging by applying design wizards
• API to JIRA, automated specification and documentation to ease the integration with the project management

At Nisar, our mission is to empower developers with tools that enhance productivity and enable innovation. XDP stands as a testament to this commitment. Whether you’re a seasoned developer or a newcomer to the field, XDP’s intuitive interface and robust functionalities cater to a spectrum of expertise levels.