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Willi Poh

2 papers indexed

arxivcs.CVcs.AIcs.RO2026-07-01

Creating Impactful Autonomous Driving Datasets: A Strategic Guide from Research Gap to Benchmark

Richard Schwarzkopf, Jonas Merkert, Frank Bieder, Annika Bätz, Alexander Blumberg, Carlos Fernandez, et al.

Well-designed autonomous driving datasets have fundamentally shaped research progress, yet existing literature primarily describes what datasets contain rather than how to strategically design impactful ones. This is especially limiting for small and medium-sized labs and startup…

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arxivcs.RO2026-06-29

Learning High-Level Decision Making with an Interaction-Aware Attention-Based Network in Autonomous Driving

Marcelo Contreras, Willi Poh, Christoph Stiller, Ehsan Hashemi

Reliable learning-based high-level decision making for lane changes and speed control in automated driving must accommodate dynamically sized inputs due to varying scene traffic flow. DeepSet and its variants represent the state of the art among shared-encoder approaches; however…

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