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RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving [article]

Jean Marie Uwabeza Vianney, Shubhra Aich, Bingbing Liu
2019 arXiv   pre-print
In this paper, we strive for solving the ambiguities arisen by the astoundingly high density of raw PseudoLiDAR for monocular 3D object detection for autonomous driving.  ...  Both the strategies assist the standard 3D detector gain better performance over the raw PseudoLiDAR baseline using only ~5% of its points on the KITTI object detection benchmark, thus making our monocular  ...  nostic sparsifications demonstrate the necessity of data orchestration alongside architectural enhancement, especially for generated data like PseudoLiDAR.  ... 
arXiv:1911.09712v1 fatcat:hkujln2w35awbjgcram6cx6a6a

Monocular 3D Object Detection: An Extrinsic Parameter Free Approach [article]

Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, Qinhong Jiang
2021 arXiv   pre-print
Monocular 3D object detection is an important task in autonomous driving. It can be easily intractable where there exists ego-car pose change w.r.t. ground plane.  ...  The perturbation of objects is very popular in most autonomous driving cases for industrial products.  ...  Refinedmpl: Refined monocular pseudolidar for [31] J Krishna Murthy, GV Sai Krishna, Falak Chhaya, and 3d object detection in autonomous driving. arXiv preprint K Madhava Krishna.  ... 
arXiv:2106.15796v2 fatcat:gobjw2dp2ffifgzndlsfmkmiay