NMR: Neural Manifold Representation for Autonomous Driving. (arXiv:2205.05551v1 [cs.CV])

Autonomous driving requires efficient reasoning about the Spatio-temporal
nature of the semantics of the scene. Recent approaches have successfully
amalgamated the traditional modular architecture of an autonomous driving stack
comprising perception, prediction, and planning in an end-to-end trainable
system. Such a system calls for a shared latent space embedding with
interpretable intermediate trainable projected representation. One such
successfully deployed representation is the Bird's-Eye View(BEV) representation
of the scene in ego-frame. However, a fundamental assumption for an undistorted
BEV is the …

arxiv autonomous autonomous driving cv driving manifold representation