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DCS-CTN: Subtle Gesture Recognition Based on TD-CNN-Transformer via Millimeter-Wave Radar

IEEE Internet of Things Journal, 2023
Gesture recognition has been a hot research topic in human–computer interaction, since contactless gesture recognition will provide increasing applications in many fields.
Congming Wang, Xiaohui Zhao, Zan Li
semanticscholar   +1 more source

Obstacle tracking based on millimeter wave radar

2016 3rd International Conference on Systems and Informatics (ICSAI), 2016
This research takes the self-driving car as the experimental platform, and the research direction is the information processing of the millimeter wave radar obstacle in the self-driving car environment sensing module. In the tracking aspect, the method has been added to provide edge information by surrounding obstacles to determine the direction of ...
Xiaoshuai Song, Yu Du
openaire   +1 more source

Advancements in Millimeter-Wave Radar Technologies for Automotive Systems: A Signal Processing Perspective

Electronics
This review paper provides a comprehensive examination of millimeter-wave radar technologies in automotive systems, reviewing their advancements through signal processing innovations.
Boxun Yan, Ian P. Roberts
semanticscholar   +1 more source

Interference-Robust Millimeter-Wave Radar-Based Dynamic Hand Gesture Recognition Using 2-D CNN-Transformer Networks

IEEE Internet of Things Journal
Dynamic gesture recognition using millimeter-wave radar has a broad application prospect in the industrial Internet of Things (IoT) field. However, the existing methods in the random dynamic interference environment, such as throwing objects and waving ...
Biao Jin   +4 more
semanticscholar   +1 more source

MRPT: Millimeter-Wave Radar-Based Pedestrian Trajectory Tracking for Autonomous Urban Driving

IEEE Transactions on Instrumentation and Measurement, 2022
Pedestrians represent agile and low-observable targets, especially under adverse weather conditions, whose trajectory tracking plays a crucial role in determining pedestrian behavior in autonomous urban driving.
Zhenyuan Zhang   +5 more
semanticscholar   +1 more source

Millimeter-Wave Radar for Rescue Helicopters

2006 9th International Conference on Control, Automation, Robotics and Vision, 2006
A collision avoidance and warning system for civil helicopters in Japan has been developed. A real-time warning method was applied using an image fused from a coloured video, an IR sensor data and mm-wave radar measurements. This paper focuses on the FM-CW mm-wave radar sensor and the associated antennas, working at 94 GHz.
Claire Migliaccio   +9 more
openaire   +2 more sources

Gesture-mmWAVE: Compact and Accurate Millimeter-Wave Radar-Based Dynamic Gesture Recognition for Embedded Devices

IEEE Transactions on Human-Machine Systems
Dynamic gesture recognition using millimeter-wave radar is a promising contactless mode of human–computer interaction with wide-ranging applications in various fields, such as intelligent homes, automatic driving, and sign language translation.
Biao Jin   +5 more
semanticscholar   +1 more source

m-Activity: Accurate and Real-Time Human Activity Recognition Via Millimeter Wave Radar

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021
Natural human activity recognition (HAR) via millimeter wave (mmWave) sensing is a key to the human-computer interaction (HCI), e.g., activity assistance and living state monitoring.
Yuheng Wang   +5 more
semanticscholar   +1 more source

Through-the-Wall Surveillance With Millimeter-Wave LFMCW Radars

IEEE Transactions on Geoscience and Remote Sensing, 2009
1805
José-Tomás González-Partida   +4 more
openaire   +2 more sources

Online Multipedestrian Tracking Based on Fused Detections of Millimeter Wave Radar and Vision

IEEE Sensors Journal, 2023
This article focuses on the challenge of pedestrian tracking using camera and millimeter wave (MMW) radar in autonomous driving. Pedestrian tracking using a single sensor has inherent limitations due to the lack of comprehensive dimensionality of ...
Fucheng Cui   +6 more
semanticscholar   +1 more source

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