Potentials for cross-industry fleet learning
Whether in transportation, logistics, individual transport, or local public transport – transport is achieving ever higher levels of automation thanks to Artificial Intelligence. Automated driving can help increase traffic safety, optimize traffic flows, and reduce pollutant emissions. Increasingly powerful AI and machine learning techniques are improving automated driving technology so that it works in real-world tests in more than 99 percent of situations. A residual risk for possible misbehavior occurs in so-called edge and corner cases. AI systems may not be sufficiently trained and tested for these rarely occurring special cases. To tap the potential of cross-industry fleet learning, the experts of the working group Mobility and intelligent Transport Systems of Plattform Lernende Systeme therefore propose the establishment of a collaborative AI mobility data platform. This platform should enable the exchange of mobility data and contribute to risk minimization in automated driving.