Download our Free E-book: Virtual Test Drive 2020

Download our Free E-book: Virtual Test Drive 2020
11
Feb

Ensuring Safer ADAS and Autonomous Vehicle Design using Simulation

The Autonomous Vehicle Industry has come a long way in the past decade or so. Truly futuristic progress has taken place where self-driving vehicles are concerned. A lot of resources and testing are being spent on road testing which has been deemed as a very important part of the process. However, road testing alone is simply not adequate and not feasible when it comes to ensuring the safety of humans and vehicles on road. It would take us about a century to complete the testing of one self-driving vehicle model if we only rely on physical testing.

With our e-book on autonomous driving, we hope readers will gain valuable insights on recent Research and Development in the self-driving space. The book also endeavors to shed some light on why autonomous driving is important and what is realistically achievable in the next 5 to 10 years.

Every year, 1.24 million people die in traffic accidents and 50 million are injured worldwide (WHO data, 2013), and over 90% of these collisions are due to human error. The deployment of Level 5 autonomous vehicles can potentially save hundreds of thousands of lives every year. Simulation has a big role to play in accelerating the development of this sector. Industry leaders across the globe including companies like General Motors, BMW, Audi, Volkswagen are leveraging virtual testing to validate and to verify Advanced Driver Assistant Systems (ADAS) and autonomous driving systems.

This is where MSC Software wants to make a significant contribution through solutions like VTD where we experiment every relevant driving condition, including system faults and errors. Companies like Waymo is running a fleet of 25,000 virtual cars 24/7, simulating 13 million kilometers per day. Simulation is critical to us for achieving billions of miles of testing for automated driving development. With our e-book on autonomous driving, we hope the readers will gain valuable insights on recent Research and Development in the self-driving space. The book also endeavors to shed some light on why autonomous driving is important and what is realistically achievable in the next 5 to 10 years.

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