Abstract: Many multi-view camera-based 3D object detection models transform the image features into Bird’s-Eye-View (BEV) via the Lift-Splat-Shoot (LSS) mechanism, which “lifts” 2D camera-view ...
Neural rendering-based urban scene reconstruction methods commonly rely on images collected from driving vehicles with cameras facing and moving forward. Although these methods can successfully ...
Abstract: 3D object detection, a sought-after feature for connected and autonomous vehicles (CAVs), offers precise localization and classification of obstacles by estimating their spatial attributes ...
MapAnything is an open-source research framework for universal metric 3D reconstruction. At its core is a simple, end-to-end trained transformer model that directly regresses the factored metric 3D ...
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