Simulated LiDAR Repositioning: a novel point cloud data augmentation method

A characterization of ten hidden-surface algorithms

I. E. Sutherland, R. F. Sproull, and R. A. Schumacker · 1974

Earlier work this paper cites.

Statistics of range images

J. Huang, A. B. Lee, and D. Mumford · 2000

Earlier work this paper cites.

Natural image statistics and neural representation

E. P. Simoncelli and B. A. Olshausen · 2001

Earlier work this paper cites.

Range image statistics can explain the anomalous perception of length

C. Q. Howe and D. Purves · 2002

Earlier work this paper cites.

Statistical correlations between two-dimensional images and three-dimensional structures in natural scenes

B. Potetz and T. S. Lee · 2003

Earlier work this paper cites.

A statistical explanation of visual space

Z. Yang and D. Purves · 2003

Earlier work this paper cites.

Visual perception and the statistical properties of natural scenes

W. S. Geisler · 2008

Earlier work this paper cites.

Python 3 Reference Manual

G. Van Rossum and F. L. Drake · 2009

Earlier work this paper cites.

Are we ready for autonomous driving? the KITTI vision benchmark suite

A. Geiger, P. Lenz, and R. Urtasun · 2012

Earlier work this paper cites.

Indoor segmentation and support inference from rgbd images

N. Silberman, D. Hoiem, P. Kohli, and R. Fergus · 2012

Cited alongside, same era.

Perceived depth in natural images reflects encoding of low-level luminance statistics

E. A. Cooper and A. M. Norcia · 2014

Cited alongside, same era.

Paris-rue-madame database: a 3d mobile laser scanner dataset for benchmarking urban detection, segmentation and classification methods

A. Serna, B. Marcotegui, F. Goulette, and J.-E. Deschaud · 2014

Cited alongside, same era.

Terramobilita/iqmulus urban point cloud analysis benchmark

B. Vallet, M. Brédif, A. Serna, B. Marcotegui, and N. Paparoditis · 2015

Cited alongside, same era.

The Southampton-York natural scenes (SYNS) dataset: Statistics of surface attitude

W. J. Adams, J. H. Elder, E. W. Graf, J. Leyland, A. J. Lugtigheid, and A. Muryy · 2016

Cited alongside, same era.

Open3D: A modern library for 3D data processing

Original

Q.-Y. Zhou, J. Park, and V. Koltun · 2018

Later among the works it cites.

Deep learning for 3d point clouds: A survey

Y. Guo, H. Wang, Q. Hu, H. Liu, L. Liu, and M. Bennamoun · 2020

Later among the works it cites.

Array programming with NumPy

C. R. Harris, K. J. Millman, S. J. van der Walt, R. Gommers, P. Virtanen, D. Cournapeau, E. Wieser, J. Taylor, S. Berg, N. J. Smith, R. Kern, M. Picus, S. Hoyer, M. H. van Kerkwijk, M. Brett, A. Haldane, J. F. del R’ıo, M. Wiebe, P. Peterson, P. G’erard-Marchant, K. Sheppard, T. Reddy, W. Weckesser, H. Abbasi, C. Gohlke, and T. E. Oliphant · 2020

Later among the works it cites.

PandaSet by Hesai and Scale AI: High-quality open-source dataset for autonomous driving

Hesai and Scale AI · 2020

Later among the works it cites.

Toronto-3D: A large-scale mobile lidar dataset for semantic segmentation of urban roadways

W. Tan, N. Qin, L. Ma, Y. Li, J. Du, G. Cai, K. Yang, and J. Li · 2020

Later among the works it cites.