Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook

SE Trevlakis, AAA Boulogeorgos… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
When fully implemented, sixth generation (6G) wireless systems will constitute intelligent
wireless networks that enable not only ubiquitous communication but also high-accuracy …

Millimeter wave fmcw radars for perception, recognition and localization in automotive applications: A survey

A Venon, Y Dupuis, P Vasseur… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
MmWave (millimeter wave) Frequency Modulated Continuous Waves (FMCW) RADARs are
sensors based on frequency-modulated electromagnetic which see their environment in 3D …

Mulran: Multimodal range dataset for urban place recognition

G Kim, YS Park, Y Cho, J Jeong… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
This paper introduces a multimodal range dataset namely for radio detection and ranging
(radar) and light detection and ranging (LiDAR) specifically targeting the urban environment …

Sensors and sensor fusion methodologies for indoor odometry: A review

M Yang, X Sun, F Jia, A Rushworth, X Dong, S Zhang… - Polymers, 2022 - mdpi.com
Although Global Navigation Satellite Systems (GNSSs) generally provide adequate
accuracy for outdoor localization, this is not the case for indoor environments, due to signal …

Radarslam: Radar based large-scale slam in all weathers

Z Hong, Y Petillot, S Wang - 2020 IEEE/RSJ International …, 2020 - ieeexplore.ieee.org
Numerous Simultaneous Localization and Mapping (SLAM) algorithms have been
presented in last decade using different sensor modalities. However, robust SLAM in …

A new wave in robotics: Survey on recent mmwave radar applications in robotics

K Harlow, H Jang, TD Barfoot, A Kim… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
We survey the current state of millimeter-wave (mmWave) radar applications in robotics with
a focus on unique capabilities, and discuss future opportunities based on the state of the art …

Are we ready for radar to replace lidar in all-weather mapping and localization?

K Burnett, Y Wu, DJ Yoon, AP Schoellig… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
We present an extensive comparison between three topometric localization systems: radar-
only, lidar-only, and a cross-modal radar-to-lidar system across varying seasonal and …

4d iriom: 4d imaging radar inertial odometry and mapping

Y Zhuang, B Wang, J Huai, M Li - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Millimeter wave radar can measure distances, directions, and Doppler velocity for objects in
harsh conditions such as fog. The 4D imaging radar with both vertical and horizontal data …

4dradarslam: A 4d imaging radar slam system for large-scale environments based on pose graph optimization

J Zhang, H Zhuge, Z Wu, G Peng… - … on Robotics and …, 2023 - ieeexplore.ieee.org
LiDAR-based SLAM may easily fail in adverse weathers (eg, rain, snow, smoke, fog), while
mmWave Radar remains unaffected. However, current researches are primarily focused on …

Do we need to compensate for motion distortion and doppler effects in spinning radar navigation?

K Burnett, AP Schoellig… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
In order to tackle the challenge of unfavorable weather conditions such as rain and snow,
radar is being revisited as a parallel sensing modality to vision and lidar. Recent works have …