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Related papers: Doppler-aware Odometry from FMCW Scanning Radar

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Frequency-Modulated Continuous-Wave (FMCW) lidar is a recently emerging technology that additionally enables per-return instantaneous relative radial velocity measurements via the Doppler effect. In this letter, we present the first…

Robotics · Computer Science 2022-12-06 Yuchen Wu , David J. Yoon , Keenan Burnett , Soeren Kammel , Yi Chen , Heethesh Vhavle , Timothy D. Barfoot

Spinning, frequency-modulated continuous-wave (FMCW) radars with 360 degree coverage have been gaining popularity for autonomous-vehicle navigation. However, unlike `fixed' automotive radar, commercially available spinning radar systems…

Robotics · Computer Science 2024-12-06 Daniil Lisus , Keenan Burnett , David J. Yoon , Richard Poulton , John Marshall , Timothy D. Barfoot

In this paper, we present a fast, lightweight odometry method that uses the Doppler velocity measurements from a Frequency-Modulated Continuous-Wave (FMCW) lidar without data association. FMCW lidar is a recently emerging technology that…

A renaissance in radar-based sensing for mobile robotic applications is underway. Compared to cameras or lidars, millimetre-wave radars have the ability to `see' through thin walls, vegetation, and adversarial weather conditions such as…

Mutual interference in automotive radar scenarios is going to become a major concern as the density of vehicles with radar sensors in the roads increases. The present work tackles the problem of frequency modulated continuous wave (FMCW) to…

Signal Processing · Electrical Eng. & Systems 2021-06-11 Aitor Correas-Serrano , María A. González-Huici

Micro-Doppler signature is a potent feature that has been used for target identification and micro-motion parameter estimation. The extraction of high frequency micro-Doppler signature from frequency modulated continuous wave (FMCW) radar…

Signal Processing · Electrical Eng. & Systems 2022-04-21 Soorya Peter , Vinod Veera Reddy

Odometry is a crucial component for successfully implementing autonomous navigation, relying on sensors such as cameras, LiDARs and IMUs. However, these sensors may encounter challenges in extreme weather conditions, such as snowfall and…

Robotics · Computer Science 2025-06-27 Xiaoyi Wu , Yushuai Chen , Zhan Li , Ziyang Hong , Liang Hu

Frequency Modulated Continuous Wave (FMCW) radar is a promising sensor for aided inertial navigation, due to its robustness in environments that challenge traditional alternatives, such as LiDAR and vision. However, its widespread adoption…

Robotics · Computer Science 2026-05-05 Morten Nissov , Kostas Alexis

This work presents a 340-GHz frequency-modulated continuous-wave (FMCW) pulse-Doppler radar. The radar system is based on a transceiver module with about one milli-Watt output power and more than 30-GHz bandwidth. The front-end optics…

Instrumentation and Detectors · Physics 2023-03-31 Tomas Bryllert , Marlene Bonmann , Jan Stake

Localisation with Frequency-Modulated Continuous-Wave (FMCW) radar has gained increasing interest due to its inherent resistance to challenging environments. However, complex artefacts of the radar measurement process require appropriate…

Robotics · Computer Science 2023-06-23 Jianhao Yuan , Paul Newman , Matthew Gadd

This paper proposes a method of passively estimating the parameters of frequency-modulated-continuous-wave (FMCW) radar signals with a wide range of structural parameter values and analyzes how a malicious actor could employ such estimates…

Signal Processing · Electrical Eng. & Systems 2023-07-21 Andrew M. Graff , Todd E. Humphreys

Frequency-modulated continuous-wave (FMCW) radar is a promising sensor technology for indoor drones as it provides range, angular as well as Doppler-velocity information about obstacles in the environment. Recently, deep learning approaches…

Robotics · Computer Science 2023-01-09 Ali Safa , Tim Verbelen , Ozan Catal , Toon Van de Maele , Matthias Hartmann , Bart Dhoedt , André Bourdoux

This paper presents a system for robust, large-scale topological localisation using Frequency-Modulated Continuous-Wave (FMCW) scanning radar. We learn a metric space for embedding polar radar scans using CNN and NetVLAD architectures…

Robotics · Computer Science 2020-01-29 Ştefan Săftescu , Matthew Gadd , Daniele De Martini , Dan Barnes , Paul Newman

The FMCW radars are widely used for automotive radar systems. The basic idea for FMCW radars is to generate a linear frequency ramp as transmit signal. The difference frequency, (i.e., beat frequency) between the transmitted and received…

Signal Processing · Electrical Eng. & Systems 2025-08-12 Emre Kurtoglu , Mohammad Mahbubur Rahman

Recently, 4D millimetre-wave radar exhibits more stable perception ability than LiDAR and camera under adverse conditions (e.g. rain and fog). However, low-quality radar points hinder its application, especially the odometry task that…

Robotics · Computer Science 2025-03-04 Zhiheng Li , Yubo Cui , Ningyuan Huang , Chenglin Pang , Zheng Fang

This paper presents a new detector for filtering noise from true detections in radar data, which improves the state of the art in radar odometry. Scanning Frequency-Modulated Continuous Wave (FMCW) radars can be useful for localization and…

Multiple-input multiple-output (MIMO) radar offers several performance and flexibility advantages over traditional radar arrays. However, high angular and Doppler resolutions necessitate a large number of antenna elements and the…

Signal Processing · Electrical Eng. & Systems 2025-09-11 Chandrashekhar Rai , Himali Singh , Arpan Chattopadhyay

This paper presents a novel micro-Doppler energy-based framework for robust multi-target vital signs monitoring using 77-GHz Frequency-Modulated Continuous-Wave (FMCW) radar. Unlike conventional phase-based methods that are susceptible to…

Signal Processing · Electrical Eng. & Systems 2025-10-23 Chenxing Tan , Yuguan Hou , Hao Wang , Zhonghao Yuan

Millimeter-wave (mmW) radars are being increasingly integrated in commercial vehicles to support new Adaptive Driver Assisted Systems (ADAS) for its ability to provide high accuracy location, velocity, and angle estimates of objects,…

Signal Processing · Electrical Eng. & Systems 2022-10-10 Xiangyu Gao , Guanbin Xing , Sumit Roy , Hui Liu

State estimation is a crucial component for the successful implementation of robotic systems, relying on sensors such as cameras, LiDAR, and IMUs. However, in real-world scenarios, the performance of these sensors is degraded by challenging…

Robotics · Computer Science 2024-03-18 Jui-Te Huang , Ruoyang Xu , Akshay Hinduja , Michael Kaess
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