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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Développement de capteur autonome

Ansys offre une fonctionnalité de simulation de capteur de véhicule autonome exhaustive, incluant conception et développement de lidar, de radar et de caméra.

Validation de système autonome

Les solutions de simulation Ansys basées sur des modèles permettent le test et la validation de véhicules autonomes pour les analyses de type Logiciel dans la boucle, Matériel dans la boucle et Conducteur dans la boucle.

Développement de système autonome

Les évaluations de la sécurité et de la cybersécurité basées sur des modèles s'appuyant sur la simulation Ansys aident à accélérer le développement de système autonome ainsi que la certification.

Développement de logiciels autonomes

Développez, validez et générez automatiquement un logiciel de véhicule autonome conforme aux normes de référence ISO 26262 et DO-178C.

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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WEBINARS

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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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Novel, Efficient Antenna System Design Using HPC Capabilities in Ansys HFSS

This webinar will chart the progress of HFSS with respect to antenna design and how it has evolved into the established leader in the field.

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Featured Resources

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CASE STUDIES

Validation of ADAS using Reliability Analysis Methods to Save a Factor of 1000 Simulations Per Scenario

Find out how Mercedes Benz uses Ansys technology to develop and test the reliability advanced driver assistance systems (ADAS).

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Prepared to Be a Passenger: Consumer Perceptions of Autonomous Vehicles

Consumers around the world were surveyed on their perceptions of autonomous cars and aircraft. Learn how comfortable they are with autonomous technology.