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 …
wireless networks that enable not only ubiquitous communication but also high-accuracy …
Scan context++: Structural place recognition robust to rotation and lateral variations in urban environments
Place recognition is a key module in robotic navigation. The existing line of studies mostly
focuses on visual place recognition to recognize previously visited places solely based on …
focuses on visual place recognition to recognize previously visited places solely based on …
Millimeter wave fmcw radars for perception, recognition and localization in automotive applications: A survey
MmWave (millimeter wave) Frequency Modulated Continuous Waves (FMCW) RADARs are
sensors based on frequency-modulated electromagnetic which see their environment in 3D …
sensors based on frequency-modulated electromagnetic which see their environment in 3D …
A new wave in robotics: Survey on recent mmwave radar applications in robotics
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 …
a focus on unique capabilities, and discuss future opportunities based on the state of the art …
Radarslam: Radar based large-scale slam in all weathers
Numerous Simultaneous Localization and Mapping (SLAM) algorithms have been
presented in last decade using different sensor modalities. However, robust SLAM in …
presented in last decade using different sensor modalities. However, robust SLAM in …
Are we ready for radar to replace lidar in all-weather mapping and localization?
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 …
only, lidar-only, and a cross-modal radar-to-lidar system across varying seasonal and …
Place recognition survey: An update on deep learning approaches
Autonomous Vehicles (AV) are becoming more capable of navigating in complex
environments with dynamic and changing conditions. A key component that enables these …
environments with dynamic and changing conditions. A key component that enables these …
4dradarslam: A 4d imaging radar slam system for large-scale environments based on pose graph optimization
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 …
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 …
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
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 …
odometry estimation using spinning radar, empirically found to generalize well across very …