Results 11 to 20 of about 3,353 (239)

3D High-resolution Imaging Algorithm with Sparse Trajectory for Millimeter-wave Radar

open access: yesLeida xuebao, 2023
In recent years, millimeter-wave radar has been widely used in safety detection, nondestructive detection of parts, and medical diagnosis because of its strong penetration ability, small size, and high detection accuracy.
Yuxin MA   +6 more
doaj   +1 more source

A Novel Multi-Sensor Fusion Based Object Detection and Recognition Algorithm for Intelligent Assisted Driving

open access: yesIEEE Access, 2021
The object detection and recognition algorithm based on the fusion of millimeter-wave radar and high-definition video data can improve the safety of intelligent-driving vehicles effectively.
Tianbi Liu   +4 more
doaj   +1 more source

Millimeter-Wave Automotive Radar Spoofing

open access: yesCoRR, 2022
Millimeter-wave radar systems are one of the core components of the safety-critical Advanced Driver Assistant System (ADAS) of a modern vehicle. Due to their ability to operate efficiently despite bad weather conditions and poor visibility, they are often the only reliable sensor a car has to detect and evaluate potential dangers in the surrounding ...
Mihai Ordean, Flavio D. Garcia
openaire   +3 more sources

Walking Step Monitoring with a Millimeter-Wave Radar in Real-Life Environment for Disease and Fall Prevention for the Elderly

open access: yesSensors, 2022
We studied the use of a millimeter-wave frequency-modulated continuous wave radar for gait analysis in a real-life environment, with a focus on the measurement of the step time.
Xuezhi Zeng   +2 more
doaj   +1 more source

ColoRadar: The direct 3D millimeter wave radar dataset [PDF]

open access: yesThe International Journal of Robotics Research, 2022
This work presents two different forms of dense, high-resolution radar data from two frequency modulated continuous wave radar sensors, along sparse radar pointclouds produced by one of the radar sensors. In addition, all datasets include 3D lidar and inertial measurements, and a lidar-based simultaneous localization and mapping pose estimation. Over 2 
Andrew Kramer   +3 more
openaire   +3 more sources

Detecting the Presence of Intrusive Drilling in Secure Transport Containers Using Non-Contact Millimeter-Wave Radar

open access: yesSensors, 2022
We employ a 77–81 GHz frequency-modulated continuous-wave (FMCW) millimeter-wave radar to sense anomalous vibrations during vehicle transport at highway speeds for the first time.
Samuel Wagner   +2 more
doaj   +1 more source

Automotive Radar — From First Efforts to Future Systems

open access: yesIEEE Journal of Microwaves, 2021
Although the beginning of research on automotive radar sensors goes back to the 1960s, automotive radar has remained one of the main drivers of innovation in millimeter wave technology over the past two decades.
Christian Waldschmidt   +2 more
doaj   +1 more source

Design of a Millimeter-Wave Radar Remote Monitoring System for the Elderly Living Alone Using WIFI Communication

open access: yesSensors, 2021
In response to the current demand for the remote monitoring of older people living alone, a non-contact human vital signs monitoring system based on millimeter wave radar has gradually become the object of research. This paper mainly carried out research
Kai Guo   +5 more
doaj   +1 more source

Multitarget-Tracking Method Based on the Fusion of Millimeter-Wave Radar and LiDAR Sensor Information for Autonomous Vehicles

open access: yesSensors, 2023
Multitarget tracking based on multisensor fusion perception is one of the key technologies to realize the intelligent driving of automobiles and has become a research hotspot in the field of intelligent driving.
Junren Shi   +4 more
doaj   +1 more source

A Novel Method for Improving Point Cloud Accuracy in Automotive Radar Object Recognition

open access: yesIEEE Access, 2023
High-quality environmental perceptions are crucial for self-driving cars. Integrating multiple sensors is the predominant research direction for enhancing the accuracy and resilience of autonomous driving systems.
Guowei Lu   +6 more
doaj   +1 more source

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