ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.01395
  4. Cited By
TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation

TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation

3 June 2024
Antonio Santo
J. J. Cabrera
David Valiente
C. Viegas
Arturo Gil
    3DPC
    3DV
ArXivPDFHTML

Papers citing "TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation"

4 / 4 papers shown
Title
ScaTE: A Scalable Framework for Self-Supervised Traversability
  Estimation in Unstructured Environments
ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments
Junwon Seo
Taekyung Kim
K. Kwak
Jihong Min
Inwook Shim
36
33
0
14 Sep 2022
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,103
0
02 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
294
75,834
0
18 May 2015
1