Millimeter Wave Radar for Automotive Blind Spot Detection System

2013 ◽  
Vol 694-697 ◽  
pp. 1008-1012
Author(s):  
Shou Xiao Li ◽  
Yun Xia Cao ◽  
Xin Bi
Keyword(s):  
Millimeter Wave ◽  
Detection System ◽  
Blind Spot ◽  
Radar Sensor ◽  
Simulation Data ◽  
Millimeter Wave Radar ◽  
Target Signal ◽  
Spot Detection ◽  
Wave Radar ◽  
Rearview Mirror

Considering the problem of rearview mirror blind spot during driving, the paper studied and designed the blind spot detection system based on MMW radar. Radar was installed at an appropriate position on the detection target signal by transmitting, when another car enter the detecting area, the small alarm light beside A pillar would shine or alarm few times, to remind drivers careful change road. And the effect would not effect by weather or time. For the radar sensor application environment, triangle wave LFMCW can effectively solve the speed from the coupling phenomenon. The paper showed experimental and simulation data.

A blind spot detection and warning system based on millimeter wave radar for driver assistance

Optik ◽  
2017 ◽  
Vol 135 ◽  
pp. 353-365 ◽  
Author(s):  
Guiru Liu ◽  
Mingzheng Zhou ◽  
Lulin Wang ◽  
Hai Wang ◽  
Xiansheng Guo
Keyword(s):  
Millimeter Wave ◽  
Warning System ◽  
Blind Spot ◽  
Driver Assistance ◽  
Millimeter Wave Radar ◽  
Spot Detection ◽  
Wave Radar

scholarly journals Millimeter-Wave Radar Sensor for Automated Tomographic Imaging of Composite Materials in a Manufacturing Environment

2021 ◽  
Vol 5 (3) ◽  
pp. 1-4
Author(s):  
Dominik Meier ◽  
Christian Zech ◽  
Benjamin Baumann ◽  
Bersant Gashi ◽  
Matthias Malzacher ◽  
...  
Keyword(s):  
Composite Materials ◽  
Millimeter Wave ◽  
Tomographic Imaging ◽  
Radar Sensor ◽  
Manufacturing Environment ◽  
Millimeter Wave Radar ◽  
Wave Radar

Virtual Radar: Real-Time Millimeter-Wave Radar Sensor Simulation for Perception-driven Robotics

2021 ◽  
pp. 1-1
Author(s):  
Christian Schoffmann ◽  
Barnaba Ubezio ◽  
Christoph Boehm ◽  
Stephan Muhlbacher-Karrer ◽  
Hubert Zangl
Keyword(s):  
Real Time ◽  
Millimeter Wave ◽  
Radar Sensor ◽  
Millimeter Wave Radar ◽  
Wave Radar

scholarly journals Simultaneous Target Classification and Moving Direction Estimation in Millimeter-Wave Radar System

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5228
Author(s):  
Jin-Cheol Kim ◽  
Hwi-Gu Jeong ◽  
Seongwook Lee
Keyword(s):  
Millimeter Wave ◽  
Radar System ◽  
Sensor Data ◽  
Test Field ◽  
Target Classification ◽  
Radar Sensor ◽  
Millimeter Wave Radar ◽  
Direction Estimation ◽  
Wave Radar ◽  
Moving Direction

In this study, we propose a method to identify the type of target and simultaneously determine its moving direction in a millimeter-wave radar system. First, using a frequency-modulated continuous wave (FMCW) radar sensor with the center frequency of 62 GHz, radar sensor data for a pedestrian, a cyclist, and a car are obtained in the test field. Then, a You Only Look Once (YOLO)-based network is trained with the sensor data to perform simultaneous target classification and moving direction estimation. To generate input data suitable for the deep learning-based classifier, a method of converting the radar detection result into an image form is also proposed. With the proposed method, we can identify the type of each target and its direction of movement with an accuracy of over 95%. Moreover, the pre-trained classifier shows an identification accuracy of 85% even for newly acquired data that have not been used for training.

Miniaturized Millimeter-Wave Radar Sensor for High-Accuracy Applications

2017 ◽  
Vol 65 (5) ◽  
pp. 1707-1715 ◽  
Author(s):  
Mario Pauli ◽  
Benjamin Gottel ◽  
Steffen Scherr ◽  
Akanksha Bhutani ◽  
Serdal Ayhan ◽  
...  
Keyword(s):  
Millimeter Wave ◽  
High Accuracy ◽  
Radar Sensor ◽  
Millimeter Wave Radar ◽  
Wave Radar
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