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. 2011.01872
  4. Cited By
Predicting Terrain Mechanical Properties in Sight for Planetary Rovers
  with Semantic Clues

Predicting Terrain Mechanical Properties in Sight for Planetary Rovers with Semantic Clues

3 November 2020
Ruyi Zhou
Wenhao Feng
Huaiguang Yang
Haibo Gao
Nan Li
Z. Deng
L. Ding
ArXivPDFHTML

Papers citing "Predicting Terrain Mechanical Properties in Sight for Planetary Rovers with Semantic Clues"

1 / 1 papers shown
Title
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
235
2,056
0
07 Jun 2016
1