A tutorial on terahertz-band localization for 6G communication systems

H Chen, H Sarieddeen, T Ballal… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Terahertz (THz) communications are celebrated as key enablers for converged localization
and sensing in future sixth-generation (6G) wireless communication systems and beyond …

Present and future of slam in extreme environments: The darpa subt challenge

K Ebadi, L Bernreiter, H Biggie, G Catt… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article surveys recent progress and discusses future opportunities for simultaneous
localization and mapping (SLAM) in extreme underground environments. SLAM in …

A novel radar point cloud generation method for robot environment perception

Y Cheng, J Su, M Jiang, Y Liu - IEEE Transactions on Robotics, 2022 - ieeexplore.ieee.org
Millimeter-wave (mmWave) radar has been widely used in autonomous driving due to its
good performance under harsh weather conditions. In recent years, with the development of …

Wavoice: A noise-resistant multi-modal speech recognition system fusing mmwave and audio signals

T Liu, M Gao, F Lin, C Wang, Z Ba, J Han… - Proceedings of the 19th …, 2021 - dl.acm.org
With the advance in automatic speech recognition, voice user interface has gained
popularity recently. Since the COVID-19 pandemic, VUI is increasingly preferred in online …

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 …

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 …

Cosmo: contrastive fusion learning with small data for multimodal human activity recognition

X Ouyang, X Shuai, J Zhou, IW Shi, Z Xie… - Proceedings of the 28th …, 2022 - dl.acm.org
Human activity recognition (HAR) is a key enabling technology for a wide range of emerging
applications. Although multimodal sensing systems are essential for capturing complex and …

Coloradar: The direct 3d millimeter wave radar dataset

A Kramer, K Harlow, C Williams… - … International Journal of …, 2022 - journals.sagepub.com
This work presents two different forms of dense, high-resolution radar data from two
frequency modulated continuous wave radar sensors, along sparse radar pointclouds …

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 …

Lidar-level localization with radar? the cfear approach to accurate, fast, and robust large-scale radar odometry in diverse environments

D Adolfsson, M Magnusson, A Alhashimi… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This article presents an accurate, highly efficient, and learning-free method for large-scale
odometry estimation using spinning radar, empirically found to generalize well across very …