Ayoub Raji — accepted AI-conference papers

2025

BETTY Dataset: A Multi-Modal Dataset for Full-Stack Autonomy

Micah Nye, Ayoub Raji, Andrew Saba, Eidan Erlich, Robert Exley, Aragya Goyal +6

ICRA 2025

We present the BETTY dataset, a large-scale, multi-modal dataset collected on several autonomous racing vehicles, targeting supervised and self-supervised state estimation, dynamics modeling, motion forecasting, perception, and more. Existing large-scale datasets, especially autonomous vehicle datas

Cited by 1 Source ↗code ↗Scholar ↗

2024

A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data

Adrian Remonda, Nicklas Hansen, Ayoub Raji, Nicola Musiu, Marko Bertogna, Eduardo E. Veas +1

NeurIPS 2024poster

Despite the availability of international prize-money competitions, scaled vehicles, and simulation environments, research on autonomous racing and the control of sports cars operating close to the limit of handling has been limited by the high costs of vehicle acquisition and management, as well as…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗