Autonomous Engineering

Road accidents account for more than a million deaths and almost $1T in damages, injury and loss of life. Autonomous vehicle technology promises a solution.

A Safer, More Efficient World with Autonomous Systems

The Society of Automotive Engineers (SAE) has clearly defined guidelines for automotive “autonomy levels” from Level 1 “Driver Only” to Level 5 “Fully Automated.” Current advanced driver assistance systems (ADAS) are estimated to be able to prevent more than a third of all passenger vehicle crashes. These advanced systems generally fall in SAE guidelines Level 2 “Assisted Driving.”

Completely autonomous vehicles have the potential to nearly eliminate passenger vehicle crashes and the attendant damages to people and property. The benefits of automated driving are obvious, but real-world vehicles will need to overcome a lot of technical hurdles to reach Level 5 autonomy. Even reaching Level 3 “Partially Automated” driving technology requires huge leaps forward in automotive and AI technology. Moving the autonomous industry forward will require a mix of simulation and real-world testing.

Autonomy's Limitless Potential Requires Unprecedented Engineering Innovation

Safe Autonomous Vehicles (AV) Require Lots of Testing

Autonomous vehicles would need to be driven for billions of miles to show performance across real-world scenarios.

AVs Will Need to be Accessible to the General Public

The cost of ADAS and AV sensors and software will need to decrease to be affordable for consumers.

AVs Require an Order-of-Magnitude Increase in Complexity

Modern cars have roughly 100 million lines of embedded software code. Estimates suggest that AVs will need 1 billion lines of code.

Time to Production is Limited and Demand is High

With 45% of vehicles sold by 2030 projected to be highly automated, significant automation improvements are required in the next 10 years..

Autonomy Through Simulation

With so many technical barriers between modern vehicle systems and full automation, simulation is necessary to solve critical design challenges in the areas of autonomy system definition, hardware development, software development and especially system validation.

Ansys simulation software can help engineers solve these problems in record time and with minimal cost by automatically generating code, demonstrating safety standards compliance and by minimizing the number of real-world miles required to prove efficacy.

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Autonomous Sensor Development

Ansys provides a comprehensive autonomous vehicle sensor simulation capability that includes lidar, radar and camera design and development.

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Autonomous System Validation

Ansys model-based simulation solutions enable autonomous vehicle testing and validation for software-in-loop, hardware-in-loop and driver-in-loop analysis.

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Autonomous System Development

Model-based safety and cybersecurity assessments using Ansys simulation help to accelerate autonomous system development and certification.

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Autonomous Software Development

Develop, validate and auto-generate autonomous vehicle software that complies with key standards ISO 26262 and DO-178C.

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Engineering What’s Ahead: ADAS & Autonomous Vehicles

Autonomy opens the door to ubiquitous mobility.

Autonomy is Ready to Expand. Engineers Must Lead the Way.

The opportunity before autonomy innovators is unlimited, but critical market demands must be overcome by those who want to win the race to market.

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Ansys Autonomy provides a high-fidelity multiphysics simulation solution from the component to the system, including:

Automatic generation of safety certified embedded software and functional safety analysis.
An open environment for optimization, simulation data and process management, workflow customization, access to cloud, and high-performance capacity.
Support of third-party integration for deployment across the enterprise.

All backed by the world’s leading center of simulation expertise, providing customer enablement through technical support, services and training.

Vehicle makers are under pressure to develop safe, cost-effective ADAS and automated driving technology. For traditional automotive companies, it is a race for market share. For new mobility companies, time-to-market is a make-or-break factor.

Consumers Want AVs: Simulation Can Get Us There

Consumer appetite for autonomous vehicles is strong, with 80% of consumers expecting to ride in self-driving vehicles in their lifetime and 55% saying they’d be comfortable doing so in the next five years. Innovators who successfully break the technological barriers separating us from autonomous mobility will capture a huge opportunity.

Autonomous Vehicles

Engineering Whats Ahead

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1,000x More Scenarios Examined

Simulation enables 1,000x as many scenarios to be studied

The efficiency of simulation in producing and capturing high-value data make it indispensable in solving the complex problems of engineering autonomous vehicles.

76% of Consumers Want Autonomous Vehicles

Most consumers expect that AVS will improve their quality of life

Consumers are optimistic about the benefits of autonomous vehicles, including minimized road rage, increased productivity and a more restful commute.

43% of Drivers Expect Reduced Stress

Almost half of surveyed drivers expect AVs to reduce stress

The top expected benefit of AVs cited by survey respondents is reduced stress, indicating that AVs are expected to improve travel experience as well as road safety.

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How Ansys and NI came together to solve ADAS/AD HIL validation

Join this webinar to hear about how Ansys and National Instruments came together to create a streamlined development process to smoothly progress from virtual simulation to hardware- and vehicle-in-the-loop simulation.

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