ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1709.02128
  4. Cited By
CNN for Very Fast Ground Segmentation in Velodyne LiDAR Data

CNN for Very Fast Ground Segmentation in Velodyne LiDAR Data

7 September 2017
Martin Velas
M. Spanel
Michal Hradiš
A. Herout
    3DPC
ArXiv (abs)PDFHTML

Papers citing "CNN for Very Fast Ground Segmentation in Velodyne LiDAR Data"

12 / 12 papers shown
UNRealNet: Learning Uncertainty-Aware Navigation Features from
  High-Fidelity Scans of Real Environments
UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments
S. Triest
David D. Fan
Sebastian Scherer
Ali-Akbar Agha-Mohammadi
257
7
0
11 Jul 2024
Traversability Analysis for Autonomous Driving in Complex Environment: A
  LiDAR-based Terrain Modeling Approach
Traversability Analysis for Autonomous Driving in Complex Environment: A LiDAR-based Terrain Modeling Approach
Hanzhang Xue
Hao Fu
Liang Xiao
Yiming Fan
Dawei Zhao
Bin Dai
234
33
0
05 Jul 2023
No GPU? No problem: an ultra fast 3D detection of road users with a
  simple proposal generator and energy-based out-of-distribution PointNets
No GPU? No problem: an ultra fast 3D detection of road users with a simple proposal generator and energy-based out-of-distribution PointNetsJournal of Big Data (J Big Data), 2022
Alvari Seppänen
Eerik Alamikkotervo
Risto Ojala
Giacomo Dario
Kari Tammi
3DPC
269
0
0
06 Jun 2022
On Enhancing Ground Surface Detection from Sparse Lidar Point Cloud
On Enhancing Ground Surface Detection from Sparse Lidar Point CloudIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Bo Li
95
12
0
25 May 2021
Road Segmentation on low resolution Lidar point clouds for autonomous
  vehicles
Road Segmentation on low resolution Lidar point clouds for autonomous vehiclesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), 2020
L. Gigli
B. R. Kiran
Thomas Paul
A. Serna
Nagarjuna Vemuri
B. Marcotegui
Santiago Velasco-Forero
3DPC
125
9
0
27 May 2020
Lidar for Autonomous Driving: The principles, challenges, and trends for
  automotive lidar and perception systems
Lidar for Autonomous Driving: The principles, challenges, and trends for automotive lidar and perception systemsIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2020
You Li
J. Ibañez-Guzmán
251
732
0
17 Apr 2020
3D Object Detection on Point Clouds using Local Ground-aware and
  Adaptive Representation of scenes' surface
3D Object Detection on Point Clouds using Local Ground-aware and Adaptive Representation of scenes' surface
Arun C. S. Kumar
Dishaan Ahuja
Ashwath Aithal
3DPC
70
0
0
02 Feb 2020
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional
  Auto-Encoder for Interest Point Detection and Feature Description
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description
Deyu Yin
Qian Zhang
Jingbin Liu
Xinlian Liang
Yunshen Wang
Jyri Maanpää
Hao Ma
Juha Hyyppa
Ruizhi Chen
3DPC
379
21
0
06 Jan 2020
SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for
  Autonomous Driving
SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving
E. Aksoy
Saimir Baci
Selçuk Çavdar
3DPC
228
166
0
18 Sep 2019
Deep Generative Modeling of LiDAR Data
Deep Generative Modeling of LiDAR Data
Lucas Caccia
H. V. Hoof
Aaron Courville
Joelle Pineau
3DPC
620
97
0
04 Dec 2018
Real-time Dynamic Object Detection for Autonomous Driving using Prior
  3D-Maps
Real-time Dynamic Object Detection for Autonomous Driving using Prior 3D-Maps
Ravi Kiran
Luis Rold˜ao
Be˜nat Irastorza
R. Verastegui
Sebastian S¨uß
S. Yogamani
V. Talpaert
A. Lepoutre
Guillaume Trehard
3DPC
245
64
0
28 Sep 2018
CNN for IMU Assisted Odometry Estimation using Velodyne LiDAR
CNN for IMU Assisted Odometry Estimation using Velodyne LiDAR
Martin Velas
M. Spanel
Michal Hradiš
A. Herout
3DPC
165
78
0
18 Dec 2017
1
Page 1 of 1