Real-time performance-focused localization techniques for autonomous vehicle: A review
Real-time, accurate, and robust localisation is critical for autonomous vehicles (AVs) to
achieve safe, efficient driving, whilst real-time performance is essential for AVs to achieve …
achieve safe, efficient driving, whilst real-time performance is essential for AVs to achieve …
Recent advances in mmWave-radar-based sensing, its applications, and machine learning techniques: A review
Human gesture detection, obstacle detection, collision avoidance, parking aids, automotive
driving, medical, meteorological, industrial, agriculture, defense, space, and other relevant …
driving, medical, meteorological, industrial, agriculture, defense, space, and other relevant …
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 …
Comparative analysis of radar and lidar technologies for automotive applications
I Bilik - IEEE Intelligent Transportation Systems Magazine, 2022 - ieeexplore.ieee.org
Radars and lidars are two primary sensor modalities complementing optical cameras in
active safety and autonomous driving applications. Radars and lidars operate at …
active safety and autonomous driving applications. Radars and lidars operate at …
Do we need to compensate for motion distortion and doppler effects in spinning radar navigation?
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 …
Vehicle localization with low cost radar sensors
E Ward, J Folkesson - 2016 IEEE Intelligent Vehicles …, 2016 - ieeexplore.ieee.org
Autonomous vehicles rely on GPS aided by motion sensors to localize globally within the
road network. However, not all driving surfaces have satellite visibility. Therefore, it is …
road network. However, not all driving surfaces have satellite visibility. Therefore, it is …
Personal mobile radars with millimeter-wave massive arrays for indoor map**
The adoption of millimeter-wave technology could open the possibility to integrate massive
antenna arrays inside future 5G user mobile devices, with the possibility to enable new …
antenna arrays inside future 5G user mobile devices, with the possibility to enable new …
Robustly adaptive EKF PDR/UWB integrated navigation based on additional heading constraint
D Yuan, J Zhang, J Wang, X Cui, F Liu, Y Zhang - Sensors, 2021 - mdpi.com
At present, GNSS (Global Navigation Satellite System) positioning technology is widely used
for outdoor positioning services because of its high-precision positioning characteristics …
for outdoor positioning services because of its high-precision positioning characteristics …
Toward ant-sized moving object localization using deep learning in FMCW radar: A pilot study
We propose a deep learning-based approach to localizing a small moving object with a
single millimeter-wave frequency-modulated continuous-wave (FMCW) radar. The main …
single millimeter-wave frequency-modulated continuous-wave (FMCW) radar. The main …
Photonics-based radar-lidar integrated system for multi-sensor fusion applications
Z Xu, J Zhao, F Zhang, L Zhang, T Yang… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
A photonics-based radar-lidar integrated system is proposed, which consists of a photonics-
based radar and a frequency-modulated continuous-wave (FMCW) lidar. Since the photonic …
based radar and a frequency-modulated continuous-wave (FMCW) lidar. Since the photonic …