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cs.CV2026
EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving
Finn Rasmus Schäfer, Yuan Gao, Dingrui Wang +5
While Vision-Language Models (VLMs) have advanced high-level reasoning in autonomous driving, their ability to ground this reasoning in the underlying physics of ego-motion remains…
cs.CV2026
Future Dynamic 3D Reconstruction: Toward 3D World Modeling with Disentangled Ego-Motion
Nils Morbitzer, Jonathan Evers, Artem Savkin +4
Forecasting the evolution of dynamic environments is crucial for autonomous agents. While generative world models have achieved high photorealism in 2D video synthesis by mixing eg…