Multi-Frequency Analysis of Microwave and Millimeter-Wave Radars for Ship Collision Avoidance

Cardillo, Emanuele; Ferro, Luigi

doi:10.1109/mms55062.2022.9825520

Cited by 4 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They used a two-stage network which contains the proposal generation network and the deep fusion detection network. Cardillo et al [15] analyzed the detection performance of radars with different frequency bands for USVs obstacle avoidance tasks, providing a valuable reference for the perception applications of mmWave radar in USVs. Im et al [16] conducted object detection and tracking in USVs using frequency-modulated continuous wave (FMCW) radar with improved density-based spatial clustering of applications with noise (DBSCAN).…”

Section: Object Detection On Water Surfacesmentioning

confidence: 99%

A Millimeter-Wave Radar-Aided Vision Detection Method for Water Surface Small Object Detection

Zhu,

Yang,

Cheng

2023

JMSE

View full text Add to dashboard Cite

Unmanned surface vehicles (USVs) have wide applications in marine inspection and monitoring, terrain mapping, and water surface cleaning. Accurate and robust environment perception ability is essential for achieving autonomy in USVs. Small object detection on water surfaces is an important environment perception task, typically achieved by visual detection using cameras. However, existing vision-based small object detection methods suffer from performance degradation in complex water surface environments. Therefore, in this paper, we propose a millimeter-wave (mmWave) radar-aided vision detection method that enables automatic data association and fusion between mmWave radar point clouds and images. Through testing on real-world data, the proposed method demonstrates significant performance improvement over vision-based object detection methods without introducing more computational costs, making it suitable for real-time application on USVs. Furthermore, the image–radar data association model in the proposed method can serve as a plug-and-play module for other object detection methods.

show abstract

Section: Object Detection On Water Surfacesmentioning

confidence: 99%

A Millimeter-Wave Radar-Aided Vision Detection Method for Water Surface Small Object Detection

Zhu,

Yang,

Cheng

2023

JMSE

View full text Add to dashboard Cite

show abstract

Microwave Radars for Automotive In-Cabin Detection

Cardillo¹,

Ferro²,

Li³

et al. 2023

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

Dynamic Doppler Characteristics of Maritime Airborne Corner Reflector

Wu,

Hu,

Feng

et al. 2024

JMSE

View full text Add to dashboard Cite

The maritime airborne corner reflector (ACR) is a radar reflector that can measure wind speed in an unknown sea area in real time over a long distance. To improve our understanding of how the ACR works, we investigated the Doppler characteristics of the ACR for the first time from a dynamic perspective. First, we constructed a radar echo signal model of the ACR. Then, we obtained the dynamic Doppler characteristics through pulse Doppler processing and discussed the special phenomenon of Doppler broadening. Finally, we proposed a rectangular window decomposition method to analyze the inner principle of the Doppler broadening phenomenon in more detail. In conclusion, this study provides valuable insights into the Doppler characterization of an ACR from a dynamic viewpoint, which contributes to enriching the basic theory of this equipment.

show abstract

Multi-Frequency Analysis of Microwave and Millimeter-Wave Radars for Ship Collision Avoidance

Cited by 4 publications

References 19 publications

A Millimeter-Wave Radar-Aided Vision Detection Method for Water Surface Small Object Detection

A Millimeter-Wave Radar-Aided Vision Detection Method for Water Surface Small Object Detection

Microwave Radars for Automotive In-Cabin Detection

Dynamic Doppler Characteristics of Maritime Airborne Corner Reflector

Contact Info

Product

Resources

About