aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception

3 code implementations • 17 Nov 2022 • Tamás Matuszka, Iván Barton, Ádám Butykai, Péter Hajas, Dávid Kiss, Domonkos Kovács, Sándor Kunsági-Máté, Péter Lengyel, Gábor Németh, Levente Pető, Dezső Ribli, Dávid Szeghy, Szabolcs Vajna, Bálint Varga

The dataset consists of 176 scenes with synchronized and calibrated LiDAR, camera, and radar sensors covering a 360-degree field of view.

3D Object Detection Autonomous Driving +2

Deep Weighted Monte Carlo: A hybrid option pricing framework using neural networks

1 code implementation • 30 Aug 2022 • Sándor Kunsági-Máté, Gábor Fáth, István Csabai, Gábor Molnár-Sáska

Recent studies have demonstrated the efficiency of Variational Autoencoders (VAE) to compress high-dimensional implied volatility surfaces into a low dimensional representation.