Improving Map Re-localization with Deep 'Movable' Objects Segmentation
on 3D LiDAR Point Clouds

Improving Map Re-localization with Deep 'Movable' Objects Segmentation on 3D LiDAR Point Clouds

8 October 2019

Francesc Moreno-Noguer

Alberto Sanfeliu

ArXiv (abs)PDF HTML

Papers citing "Improving Map Re-localization with Deep 'Movable' Objects Segmentation on 3D LiDAR Point Clouds"

10 / 10 papers shown

Title
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud Bichen Wu Xuanyu Zhou Sicheng Zhao Xiangyu Yue Kurt Keutzer 3DPC 71 623 0 22 Sep 2018
BirdNet: a 3D Object Detection Framework from LiDAR information Jorge Beltrán Carlos Guindel Francisco Miguel Moreno Daniel Cruzado F. García A. D. L. Escalera 3DPC 201 252 0 03 May 2018
Frustum PointNets for 3D Object Detection from RGB-D Data C. Qi Wen Liu Chenxia Wu Hao Su Leonidas Guibas 3DPC 161 2,271 0 22 Nov 2017
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection Yin Zhou Oncel Tuzel 3DPC 129 3,732 0 17 Nov 2017
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 161 5,219 0 10 Nov 2017
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 94 806 0 19 Oct 2017
3D Fully Convolutional Network for Vehicle Detection in Point Cloud Bo Li 3DPC 101 461 0 24 Nov 2016
SegMatch: Segment based loop-closure for 3D point clouds Renaud Dubé Daniel Dugas E. Stumm Juan I. Nieto Roland Siegwart Cesar Cadena 3DV 231 323 0 25 Sep 2016
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks Martin Engelcke Dushyant Rao Dominic Zeng Wang Chi Hay Tong Ingmar Posner 3DPC 258 522 0 21 Sep 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 167 7,503 0 24 Feb 2016

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