Understanding Bird's-Eye View of Road Semantics using an Onboard Camera. (arXiv:2012.03040v2 [cs.CV] UPDATED)

Autonomous navigation requires scene understanding of the action-space to
move or anticipate events. For planner agents moving on the ground plane, such
as autonomous vehicles, this translates to scene understanding in the
bird's-eye view (BEV). However, the onboard cameras of autonomous cars are
customarily mounted horizontally for a better view of the surrounding. In this
work, we study scene understanding in the form of online estimation of semantic
BEV maps using the video input from a single onboard camera. We …

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