Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe. (arXiv:2209.05324v2 [cs.CV] UPDATED)

Learning powerful representations in bird's-eye-view (BEV) for perception
tasks is trending and drawing extensive attention both from industry and
academia. Conventional approaches for most autonomous driving algorithms
perform detection, segmentation, tracking, etc., in a front or perspective
view. As sensor configurations get more complex, integrating multi-source
information from different sensors and representing features in a unified view
come of vital importance. BEV perception inherits several advantages, as
representing surrounding scenes in BEV is intuitive and fusion-friendly; and
representing objects in …

arxiv evaluation perception recipe review