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. 2006.09761
  4. Cited By
Evaluation of 3D CNN Semantic Mapping for Rover Navigation

Evaluation of 3D CNN Semantic Mapping for Rover Navigation

17 June 2020
S. Chiodini
Luca Torresin
M. Pertile
S. Debei
ArXiv (abs)PDFHTML

Papers citing "Evaluation of 3D CNN Semantic Mapping for Rover Navigation"

4 / 4 papers shown
Title
Enabling In-Situ Resources Utilisation by leveraging collaborative
  robotics and astronaut-robot interaction
Enabling In-Situ Resources Utilisation by leveraging collaborative robotics and astronaut-robot interaction
Silvia Romero-Azpitarte
Cristina Luna
Alba Guerra
Mercedes Alonso
Pablo Romeo Manrique
...
Daniel Olayo
Almudena Moreno
Pablo Castellanos
Fernando Gandía
Gianfranco Visentin
16
3
0
06 Nov 2023
CISRU: a robotics software suite to enable complex rover-rover and
  astronaut-rover interaction
CISRU: a robotics software suite to enable complex rover-rover and astronaut-rover interaction
Silvia Romero-Azpitarte
Alba Guerra
Mercedes Alonso
Marina López-Seoane
Daniel Olayo
Almudena Moreno
Pablo Castellanos
Cristina Luna
Gianfranco Visentin
33
0
0
06 Nov 2023
An Active and Contrastive Learning Framework for Fine-Grained Off-Road
  Semantic Segmentation
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation
Biao Gao
Xijun Zhao
Huijing Zhao
97
12
0
18 Feb 2022
Multi-Modal Loop Closing in Unstructured Planetary Environments with
  Visually Enriched Submaps
Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps
Riccardo Giubilato
Mallikarjuna Vayugundla
Wolfgang Sturzl
M. J. Schuster
A. Wedler
Rudolph Triebel
54
6
0
05 May 2021
1