3 papers
cs.CV2026
Multimodal Scenario Similarity Search for Autonomous Driving
Tamás Matuszka, András Tamásy, Balázs Szolár
Large-scale autonomous-driving datasets contain vast numbers of recorded scenarios, creating a need for efficient retrieval methods that can identify situations similar to a given…
cs.CV2026
Zero-shot 3D General Obstacle Detection via Multimodal Foundation Models and Geometry
Tamás Matuszka, Péter Hajas, Dávid Szeghy
Detecting general obstacles is critical for autonomous driving, especially in long-tail scenarios with rare or unseen objects. Existing methods rely on supervision or predefined ca…
cs.CV2025
Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving
Sándor Kunsági-Máté, Levente PetÅ, Lehel Seres +1
3D detection of traffic management objects, such as traffic lights and road signs, is vital for self-driving cars, particularly for address-to-address navigation where vehicles enc…