Automotive Digital Thread
Autonomous Vehicle Development
Discover a safe, secure, scalable and cost-efficient solution for ADAS and AV system development, testing and optimization to enable traceability and continuous learning so that your engineers can confidently overcome the challenges involved.
Advance autonomous vehicle design
Design, test, refine, optimize and validate autonomous vehicle performance continuously. With the functional digital twin, simulation, scenario recording and engineering, sensor integration, continuous optimization and closed-loop validation, you can accelerate the delivery of safe, effective and compliant ADAS and AV systems.
Transform autonomous vehicle development
Add agility and efficiency to the ADAS and AV development process. Merging the real and virtual worlds with a functional digital twin enables you to continually design, test, refine, optimize and validate system and vehicle performance with the most extensive possible set of critical scenarios.
Traceability
Providing complete traceability between requirements, test cases and technical safety requirements. (MobileDrive)
Years to develop, train and exchange technology
Reduce the ADAS product timeline before a physical prototype is even built. (MobileDrive)
Reduced simulation time
Reduce simulation time for human body behavior from days to hours. (EDAG)
Build trustworthy ADAS and AV systems
Collaborate and maintain all critical information in trustworthy models through closed-loop virtual verification and validation, as well as optimizing system behavior before and after the vehicle is manufactured.
There are three paths to revolutionize autonomous vehicle development.
Multidisciplinary collaboration ensures that different teams can work together to validate that your design functions perfectly across systems, subsystems, and external environments. The functional digital twin is composed of accurate engineering models, where you can capture and update targets, requirements and scenarios to-
- Establish full traceability and verification coverage.
- Define vehicle goals and functionalities upfront to maximize autonomous features.
- Make better decisions about hardware, software and relevant scenarios.
There isn’t enough time or money to capture all unsafe scenarios using real-world recordings alone. Elevate the most applicable information while discounting irrelevant data to speed up development and ensure AD system compliance with solutions that help you—
- Optimize the behavior of your autonomous systems.
- Annotate and organize real-world recordings.
- Create new scenarios by adjusting parameters and adding actors to scenes in a digital environment.
Before autonomous vehicles can be deployed on the road, you must be confident they will perform flawlessly in every situation. Establish maximum active and passive safety and full regulatory compliance by leveraging a closed-loop verification and validation process to—
- Deliver safe autonomy and accelerate certification.
- Verify requirements and validate that they are being met.
- Reduce the risk of real-world failures by testing virtually against a growing database of critical scenarios.
OEM's advance autonomous vehicle design with Siemens
Leverage our software
The top 95% of automotive electronic control unit (ECU) suppliers leverage Siemens software.
Top 23 OEMs
The top 23 global automotive OEMs have adopted Siemens Xcelerator.
Top 20 EV brands
The top 20 electric vehicle brands leverage Siemens Xcelerator.
MobileDrive
Using model-based systems engineering to develop a comprehensive digital twin of ADAS features
Company:MobileDrive
Industry:Automotive & transportation
Location:Amsterdam, Netherlands
Siemens Software:Polarion, Simcenter 3D Solutions, Simcenter Amesim, Simcenter Prescan
Thanks to our collaboration with Siemens, we are able to bring our products to market in a much more streamlined, efficient manner.
Explore our resource library
Deliver trustworthy and compliant ADAS and AV systems that function effectively in the widest possible range of conditions.
Streamline safe ADAS and AV development
Systems engineering
E/E systems development
Performance engineering
IC Design
Application lifecycle management
Requirements & verification management
Frequently asked questions
Autonomous vehicle development focuses on creating self-driving cars that can operate without human intervention. This involves integrating technologies like artificial intelligence and various sensors, such as cameras and LiDAR, to help vehicles perceive their surroundings, make decisions and navigate safely. Key aspects include gathering environmental data, identifying objects and obstacles, accurately determining location, planning routes and managing control systems for steering and braking. The process also emphasizes rigorous safety testing and compliance with legal standards. Ultimately, the goal is to improve safety, reduce traffic congestion and enhance transportation efficiency.
The future of autonomous vehicles is set to transform transportation significantly. We can expect widespread adoption, with self-driving cars becoming integral to personal and public transport. Improved AI and sensor technology will enhance safety by reducing accidents while developing smart infrastructure and facilitating better communication between vehicles and their surroundings.
Autonomous vehicles offer several key benefits, including improved safety by reducing human error, a major cause of accidents. They can enhance efficiency through optimized driving patterns and better traffic management, leading to less congestion and lower fuel consumption. These vehicles also promote accessibility for individuals who cannot drive, such as the elderly or disabled, while many are electric, contributing to reduced emissions and cleaner air.
In the long run, autonomous vehicles may lower costs associated with accidents and insurance and encourage shared transportation models, reducing the need for personal vehicles. Their development can spur innovation and economic growth, creating new job opportunities in technology and related sectors. Overall, autonomous vehicles have the potential to transform transportation into a safer, more efficient and more accessible system.
Autonomous vehicles require several key technologies:
- Sensors: LiDAR, cameras, radar and ultrasonic sensors for environmental detection.
- AI and Machine Learning: For computer vision, object recognition and decision-making.
- Mapping and Localization: High-definition maps and GPS for precise positioning.
- Control Systems: Algorithms to translate perception into driving actions.
- Connectivity: V2X communication and cloud computing for data sharing.
- Safety Systems: Redundancies in critical components for reliability.
- Cybersecurity: Protection against cyber threats.
- Human-Machine Interface (HMI): Systems for passenger interaction and information display.
Learn more
Watch
On-demand webinar | Autonomous vehicle development forum
On-demand webinar | Develop successful AV technology with systems engineering technology
On-demand webinar | Validation and verification of physics-based sensor simulation