Driving without a human driver is not a new idea. Ever since cars were invented, mankind has dreamt of self-driving cars or driverless cars. However, these dreams have so far not come true and automated vehicles have not been deployed on our roads. Not yet, at least.
Nowadays, this situation seems to be rapidly changing as the technology needed for automated driving is starting to become available. At the same time, there is increasing societal and political pressure to solve the problems related to human driven cars - such as traffic accidents, pollution and congestion. Many car makers already have prototypes of automated vehicles on the road today, and commercial market introduction doesn’t seem far away. Or does it?
Automated driving systems consist of complex technology. Various different sensor technologies - such as radar, camera, lidar and V2X communication – should provide a complete image of what is going on around the vehicle. This can only be reliably done with very advanced sensor data processing algorithms. Sophisticated decision and control algorithms then have to make sure the car reacts correctly to the practically infinite amount of events that can happen in real-world traffic.
But how to design, validate, and certify these automated driving systems? Which scenarios should be tested until a system can be released? How many kilometers need to be driven to prove that a system is robust and fail-safe? When is a system “good enough”? And should we re-test all scenarios after a hardware- or software-update? Even though there is no general consensus yet about the answers to these questions, it is clear that relying on traditional test-methods (i.e. road testing and test-track testing) will lead to a time-consuming and cost-intensive process.
TASS International’s vision is that the most effective way to develop and validate automated driving systems is by using a combination of simulation, laboratory experiments and real-world testing. Simulation results are used to define the physical experiments, whereas experimental results are used to validate the simulations. Our methodology and tool-suite enables our customers to validate automated driving systems at a much earlier stage and for much smaller investments. In addition to this, TASS International also provides a wide range of engineering and consultancy services for automated vehicle development.
" The PreScan software is used at VisLab during the algorithm design phase of our autonomous vehicles. Its usage allowed us to make very fast design iterations and contributed to a robust algorithm design and a successful road demonstration of our autonomous vehicles (www.vislab.it/proud). "
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Dedicated and customer focused solutions using global engineering capability. With over 30 years of experience in facing automotive challenges and strong partnerships with renowned institutes.Read more