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Simulation based Verification & Validation of AEBS
ADAS and AV technologies are going to disrupt the entire transportation industry, as we know it, with a profound impact on human life. They promise to enhance human lives by providing a safer and much more accessible transportation ecosystem to all of society. However, to deliver on all of its promi...
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Main Authors: | , , , |
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Format: | Report |
Language: | English |
Online Access: | Request full text |
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Summary: | ADAS and AV technologies are going to disrupt the entire transportation industry, as we know it, with a profound impact on human life. They promise to enhance human lives by providing a safer and much more accessible transportation ecosystem to all of society. However, to deliver on all of its promises, they need to be at least as good as a ‘good’ human driver. Therefore, they need to be very safe and robust, with the ability to perform in a variety of driving scenarios, and be very secure, being immune from any external cyberattacks. Hence, such technologies need to be tested very extensively. However, from various studies, it has been found that, to declare a full AV as good as a human driver, the AV will be required to drive more than a billion miles on real roads, taking tens and sometimes hundreds of years to drive those miles, considering even the most aggressive testing assumptions. Every small update to the AV will require another billion miles of testing to be approved for real world use. Moreover, the more advanced the technology becomes, the more miles will need to de driven. Real word testing plays a very crucial role in ADAS and AV development and testing. Nevertheless, relying only on real world testing will significantly slow down the development and testing of such technologies. This is where simulation comes into play. Simulation allows exposing various control algorithms and sensor models to a range of complex driving scenarios in a virtual environment and assess the results of vehicle performance with respect to control system development and validation.
This paper demonstrates the methodology followed to perform simulation based V&V of an Automatic Emergency Braking System, which promises to reduce crash severity or eliminate them by automatically applying the brakes in emergency situations. |
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ISSN: | 0148-7191 2688-3627 |
DOI: | 10.4271/2021-26-0128 |