Automatic Labeled LiDAR Data Generation based on Precise Human Model

Automatic Labeled LiDAR Data Generation based on Precise Human Model

14 February 2019

Masayuki Tanaka

Masatoshi Okutomi

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Papers citing "Automatic Labeled LiDAR Data Generation based on Precise Human Model"

6 / 6 papers shown

Title
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud Bichen Wu Alvin Wan Xiangyu Yue Kurt Keutzer 3DPC 92 806 0 19 Oct 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 234 8,488 0 17 Jun 2017
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks? Matthew Johnson-Roberson Charlie Barto Rounak Mehta S. N. Sridhar Karl Rosaen Ram Vasudevan 117 617 0 06 Oct 2016
Playing for Data: Ground Truth from Computer Games Stephan R. Richter Vibhav Vineet Stefan Roth V. Koltun VLM 124 2,012 0 07 Aug 2016
Deep Convolutional Neural Fields for Depth Estimation from a Single Image Fayao Liu Chunhua Shen Guosheng Lin MDE 180 892 0 24 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 209 2,683 0 18 Nov 2014