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Strong demand for autonomous vehicles and the wide availability of 3D sensorsare continuously fueling the proposal of novel methods for 3D object detection.In this paper, we provide a comprehensive survey of recent developments from2012-2021 in 3D object detection covering the full pipeline from input data,over data representation and feature extraction to the actual detectionmodules. We introduce fundamental concepts, focus on a broad range of differentapproaches that have emerged over the past decade, and propose asystematization that provides a practical framework for comparing theseapproaches with the goal of guiding future development, evaluation andapplication activities. Specifically, our survey and systematization of 3Dobject detection models and methods can help researchers and practitioners toget a quick overview of the field by decomposing 3DOD solutions into moremanageable pieces.

Survey and Systematization of 3D Object Detection Models and Methods