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. 2403.05964
  4. Cited By
RadCloud: Real-Time High-Resolution Point Cloud Generation Using
  Low-Cost Radars for Aerial and Ground Vehicles

RadCloud: Real-Time High-Resolution Point Cloud Generation Using Low-Cost Radars for Aerial and Ground Vehicles

9 March 2024
David Hunt
Shaocheng Luo
Amir Khazraei
Xiao Zhang
S. Hallyburton
Tingjun Chen
Miroslav Pajic
ArXivPDFHTML

Papers citing "RadCloud: Real-Time High-Resolution Point Cloud Generation Using Low-Cost Radars for Aerial and Ground Vehicles"

2 / 2 papers shown
Title
RQR3D: Reparametrizing the regression targets for BEV-based 3D object detection
RQR3D: Reparametrizing the regression targets for BEV-based 3D object detection
Ozsel Kilinc
Cem Tarhan
102
0
0
23 May 2025
High Resolution Point Clouds from mmWave Radar
High Resolution Point Clouds from mmWave Radar
Akarsh Prabhakara
Tao Jin
Arnav M. Das
Gantavya Bhatt
Lilly Kumari
E. Soltanaghaei
J. Bilmes
Swarun Kumar
Anthony G. Rowe
29
52
0
18 Jun 2022
1