Artificial Intelligence (AI) has become a key element in the development of driving simulators in recent years. With the help of advanced algorithms and machine learning, driving simulators are now able to offer extremely realistic experiences that not only simulate driving, but also actively learn and adapt to the driver’s behaviour.
Deep learning and autonomous driving
One of the most exciting applications of AI in driving simulators is the development of autonomous driving systems. Deep learning, a subcategory of machine learning, is particularly useful in processing and analysing the large amounts of data collected by autonomous vehicle sensors. This allows vehicles to “see” and understand their environment and make decisions in real time¹.
Classification of autonomous driving
Driving simulators use different levels of autonomous driving, ranging from assistance systems that help with braking or starting (Level 1) to fully autonomous vehicles where humans have no influence on the driving (Level 5)¹.
Neural network architectures
Convolutional neural networks (CNNs) are often used to simulate autonomous driving and are extremely efficient at image classification and obstacle or lane detection. Recurrent neural networks (RNNs) are used to capture temporal dynamics and track relevant information¹.
The role of AI in driving simulators
AI driving simulators enable better understanding and analysis of driving conditions, leading to improved safety and driving performance. AI helps with environmental sensing, data processing and problem solving, which is key to the development of autonomous vehicles².
Conclusion
The use of AI in driving simulators opens up new opportunities for driver education and training, the development of autonomous vehicles and improving road safety. With the further development of AI technology, we can expect even more advanced and efficient simulators that will have a significant impact on the future of transport. In practice, Sim 83, already offers its own innovative AI driver education programmes.