Micah Nye
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View article: BETTY Dataset: A Multi-modal Dataset for Full-Stack Autonomy
BETTY Dataset: A Multi-modal Dataset for Full-Stack Autonomy Open
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. Exist…
View article: TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks
TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks Open
We present TartanDrive 2.0, a large-scale off-road driving dataset for self-supervised learning tasks. In 2021 we released TartanDrive 1.0, which is one of the largest datasets for off-road terrain. As a follow-up to our original dataset, …
View article: Fast and Modular Autonomy Software for Autonomous Racing Vehicles
Fast and Modular Autonomy Software for Autonomous Racing Vehicles Open
Autonomous motorsports aim to replicate the human racecar driver with\nsoftware and sensors. As in traditional motorsports, Autonomous Racing Vehicles\n(ARVs) are pushed to their handling limits in multi-agent scenarios at\nextremely high …