Filippo Ghilotti — accepted AI-conference papers

2026

TruckDrive: Long-Range Autonomous Highway Driving Dataset

Filippo Ghilotti, Edoardo Palladin, Samuel Brucker, Adam Sigal, Mario Bijelic, Felix Heide

CVPR 2026

Safe highway autonomy for heavy trucks remains an open and unsolved challenge: due to long braking distances, scene understanding of hundreds of meters is required for anticipatory planning and to allow safe braking margins. However, existing driving datasets primarily cover urban scenes, with perce

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2025

Self-Supervised Sparse Sensor Fusion for Long Range Perception

Edoardo Palladin, Samuel Brucker, Filippo Ghilotti, Praveen Narayanan, Mario Bijelic, Felix Heide

ICCV 2025poster

Outside of urban hubs, autonomous cars and trucks have to master driving on intercity highways. Safe, long-distance highway travel at speeds exceeding 100 km/h demands perception distances of at least 250 m, which is about five times the 50-100m typically addressed in city driving, to allow sufficie…

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