Overcoming Limitations of AI and Machine Learning in AVs – TU Automotive

Autonomous vehicles are dependent on historical and real-time data, without which artificial intelligence and machine learning would be impossible. They aren't plug-and-play because not all of the potential scenarios can possibly be predicted by the software developers, simulators or data modelers. Simulators, and to a degree connected and autonomous vehicles (CAVs) themselves, are also only as good as their algorithms and the data inputted into them. Consequently, AI and machine learning in autonomous vehicles can be limited, so nobody should expect them to instantly be able to cope with every potential scenario. Their development has to be taken with a sense of caution to prevent unintended consequences from occurring.