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. 2203.10174
  4. Cited By
Are We Ready for Radar to Replace Lidar in All-Weather Mapping and
  Localization?

Are We Ready for Radar to Replace Lidar in All-Weather Mapping and Localization?

18 March 2022
Keenan Burnett
Yuchen Wu
David J. Yoon
Angela P. Schoellig
T. Barfoot
ArXivPDFHTML

Papers citing "Are We Ready for Radar to Replace Lidar in All-Weather Mapping and Localization?"

14 / 14 papers shown
Title
Do We Still Need to Work on Odometry for Autonomous Driving?
Do We Still Need to Work on Odometry for Autonomous Driving?
Cedric Le Gentil
Daniil Lisus
T. Barfoot
40
0
0
07 May 2025
Toward Teach and Repeat Across Seasonal Deep Snow Accumulation
Toward Teach and Repeat Across Seasonal Deep Snow Accumulation
Matej Boxan
Alexander Krawciw
T. Barfoot
F. Pomerleau
29
0
0
02 May 2025
Continuous-Time State Estimation Methods in Robotics: A Survey
Continuous-Time State Estimation Methods in Robotics: A Survey
William Talbot
Julian Nubert
Turcan Tuna
César Cadena
Frederike Dumbgen
J. Tordesillas
T. Barfoot
Marco Hutter
57
7
0
06 Nov 2024
Get It For Free: Radar Segmentation without Expert Labels and Its
  Application in Odometry and Localization
Get It For Free: Radar Segmentation without Expert Labels and Its Application in Odometry and Localization
Siru Li
Ziyang Hong
Yushuai Chen
Liang Hu
Jiahu Qin
29
1
0
27 Sep 2024
CREVE: An Acceleration-based Constraint Approach for Robust Radar Ego-Velocity Estimation
CREVE: An Acceleration-based Constraint Approach for Robust Radar Ego-Velocity Estimation
Hoang Viet Do
Bo Sung Ko
J. Song
Jin Woo Song
34
0
0
25 Sep 2024
Robust High-Speed State Estimation for Off-road Navigation using Radar
  Velocity Factors
Robust High-Speed State Estimation for Off-road Navigation using Radar Velocity Factors
Morten Nissov
Jeffrey A. Edlund
Patrick Spieler
Curtis Padgett
Kostas Alexis
Shehryar Khattak
29
1
0
17 Sep 2024
FoMo: A Proposal for a Multi-Season Dataset for Robot Navigation in
  Forêt Montmorency
FoMo: A Proposal for a Multi-Season Dataset for Robot Navigation in Forêt Montmorency
Matvej Boxan
Alexander Krawciw
Effie Daum
Xinyuan Qiao
S. Lilge
T. Barfoot
Franccois Pomerleau
29
5
0
19 Apr 2024
RMap: Millimeter-Wave Radar Mapping Through Volumetric Upsampling
RMap: Millimeter-Wave Radar Mapping Through Volumetric Upsampling
Ajay Narasimha Mopidevi
Kyle Harlow
Christoffer Heckman
27
1
0
19 Oct 2023
RadaRays: Real-time Simulation of Rotating FMCW Radar for Mobile Robotics via Hardware-accelerated Ray Tracing
RadaRays: Real-time Simulation of Rotating FMCW Radar for Mobile Robotics via Hardware-accelerated Ray Tracing
Alexander Mock
Martin Magnusson
Joachim Hertzberg
37
1
0
05 Oct 2023
Lidar-level localization with radar? The CFEAR approach to accurate,
  fast and robust large-scale radar odometry in diverse environments
Lidar-level localization with radar? The CFEAR approach to accurate, fast and robust large-scale radar odometry in diverse environments
Daniel Adolfsson
Martin Magnusson
Anas W. Alhashimi
A. Lilienthal
Henrik Andreasson
18
40
0
04 Nov 2022
Picking Up Speed: Continuous-Time Lidar-Only Odometry using Doppler
  Velocity Measurements
Picking Up Speed: Continuous-Time Lidar-Only Odometry using Doppler Velocity Measurements
Yuchen Wu
David J. Yoon
Keenan Burnett
S. Kammel
Yi Chen
Heethesh Vhavle
T. Barfoot
37
27
0
07 Sep 2022
On the Importance of Quantifying Visibility for Autonomous Vehicles
  under Extreme Precipitation
On the Importance of Quantifying Visibility for Autonomous Vehicles under Extreme Precipitation
Clément Courcelle
Dominic Baril
Franccois Pomerleau
Johann Laconte
14
7
0
07 Sep 2022
Keeping an Eye on Things: Deep Learned Features for Long-Term Visual
  Localization
Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization
Mona Gridseth
T. Barfoot
SSL
30
26
0
09 Sep 2021
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather
Marcel Sheeny
Emanuele De Pellegrin
S. Mukherjee
Alireza Ahrabian
Sen Wang
Andrew M. Wallace
64
199
0
18 Oct 2020
1