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CARNet: A Dynamic Autoencoder for Learning Latent Dynamics in Autonomous Driving Tasks. (arXiv:2205.08712v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
Autonomous driving has received a lot of attention in the automotive industry
and is often seen as the future of transportation. Passenger vehicles equipped
with a wide array of sensors (e.g., cameras, front-facing radars, LiDARs, and
IMUs) capable of continuous perception of the environment are becoming
increasingly prevalent. These sensors provide a stream of high-dimensional,
temporally correlated data that is essential for reliable autonomous driving.
An autonomous driving system should effectively use the information collected
from the various sensors in …
arxiv autoencoder autonomous autonomous driving driving dynamics learning