4.7 Article

Indoor Positioning System Using a Single-Chip Millimeter Wave Radar

Related references

Note: Only part of the references are listed.
Article Computer Science, Information Systems

Noninvasive Human Activity Recognition Using Millimeter-Wave Radar

Chengxi Yu et al.

Summary: This article proposes a noninvasive human activity recognition system using mmWave radar, which achieves high accuracy by considering spatial-temporal point clouds, enriching sparse data, and utilizing a dual-view convolutional neural network.

IEEE SYSTEMS JOURNAL (2022)

Article Engineering, Electrical & Electronic

Millimeter-Wave Frequency Modulated Continuous Wave Radar-Based Soft Fall Detection Using Pattern Contour-Confined Doppler-Time Maps

Bo Wang et al.

Summary: Fall accidents are a major cause of non-natural death among older people. This paper proposes a radar-based fall detection method using PCC-DT maps, which improves the detection accuracy and can detect sudden and soft fall motions with high accuracy, sensitivity, and specificity.

IEEE SENSORS JOURNAL (2022)

Article Engineering, Aerospace

High Precision Human Detection and Tracking Using Millimeter-Wave Radars

Han Cui et al.

Summary: The emerging technique of mmWave radar is increasingly popular for human activity recognition, providing detailed information on objects. However, using a single radar in indoor environments may lead to a high number of false alarms, while employing two radars can significantly improve system precision.

IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE (2021)

Article Engineering, Electrical & Electronic

Milli-RIO: Ego-Motion Estimation With Low-Cost Millimetre-Wave Radar

Yasin Almalioglu et al.

Summary: This paper introduces a solution based on millimeter-wave radar and inertial measurement unit sensor for estimating six-degrees-of-freedom ego-motion of a moving radar indoors, achieving precision on the order of a few centimeters.

IEEE SENSORS JOURNAL (2021)

Article Robotics

3D ego-Motion Estimation Using low-Cost mmWave Radars via Radar Velocity Factor for Pose-Graph SLAM

Yeong Sang Park et al.

Summary: The research achieved 3D velocity estimation by combining two orthogonal radar sensors, showing reliable performance in extreme environments. Casings the sensors in a plastic box improved system performance. The introduction of a novel radar instant velocity factor and integration with IMU solved the 3D ego-motion problem.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

Article Robotics

Cross-Modal Contrastive Learning of Representations for Navigation Using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions

Jui-Te Huang et al.

Summary: By utilizing single-chip millimeter-wave radar and cross-modal contrastive learning, this study achieved autonomous navigation for unmanned vehicles based on deep reinforcement learning, outperforming traditional methods in smoke-filled environments.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

Proceedings Paper Automation & Control Systems

A Normal Distribution Transform-Based Radar Odometry Designed For Scanning and Automotive Radars

Pou-Chun Kung et al.

Summary: The proposed radar odometry method is applicable to both scanning radar and automotive radar, achieving high accuracy and precision.

2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021) (2021)

Article Engineering, Electrical & Electronic

A High-Precision and Low-Cost IMU-Based Indoor Pedestrian Positioning Technique

Nan Bai et al.

IEEE SENSORS JOURNAL (2020)

Article Engineering, Electrical & Electronic

A New Quaternion Kalman Filter Based Foot-Mounted IMU and UWB Tightly-Coupled Method for Indoor Pedestrian Navigation

Kai Wen et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)

Article Engineering, Electrical & Electronic

Smartphone-Based Indoor Positioning Using BLE iBeacon and Reliable Lightweight Fingerprint Map

Thai-Mai Thi Dinh et al.

IEEE SENSORS JOURNAL (2020)

Proceedings Paper Automation & Control Systems

Radar-Inertial Ego-Velocity Estimation for Visually Degraded Environments

Andrew Kramer et al.

2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2020)

Proceedings Paper Automation & Control Systems

RadarSLAM: Radar based Large-Scale SLAM in All Weathers

Ziyang Hong et al.

2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2020)

Proceedings Paper Engineering, Electrical & Electronic

Accurate Parking Scene Reconstruction using High-Resolution Millimeter-Wave Radar

Tokihiko Akita et al.

2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) (2020)

Proceedings Paper Automation & Control Systems

Radar-only ego-motion estimation in difficult settings via graph matching

Sarah H. Cen et al.

2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2019)

Proceedings Paper Automation & Control Systems

Fast Radar Motion Estimation with a Learnt Focus of Attention using Weak Supervision

Roberto Aldera et al.

2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2019)

Article Automation & Control Systems

Probabilistic ego-motion estimation using multiple automotive radar sensors

M. Rapp et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2017)

Article Engineering, Electrical & Electronic

WiFi-Based Indoor Positioning

Chouchang Yang et al.

IEEE COMMUNICATIONS MAGAZINE (2015)

Article Engineering, Electrical & Electronic

Millimeter-Wave Technology for Automotive Radar Sensors in the 77 GHz Frequency Band

Juergen Hasch et al.

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES (2012)