Master's Thesis: Infrastructure Support for Black-Box End-to-End Autonomous Driving – Strategies, Scenarios and Benchmarking

Kurzbeschreibung

The Chair of Robotics, Artificial Intelligence and Real-Time Systems offers a thesis on supporting vehicle end-to-end (E2E) driving systems with roadside infrastructure perception. The vehicle's driving function is treated as a closed black box. The thesis identifies the situations in which infrastructure knowledge improves driving safety and the integration strategies through which it can do so without access to the model's internals.