scholarly journals Millimeter-Wave Radar and Video Fusion Vehicle Detection based on Adaptive Kalman Filtering

2021 ◽  
Vol 1966 (1) ◽  
pp. 012038
Author(s):  
Qian Wang ◽  
Yansong Song ◽  
Dongpo Xu
Keyword(s):  
Millimeter Wave ◽  
Kalman Filtering ◽  
Vehicle Detection ◽  
Millimeter Wave Radar ◽  
Wave Radar ◽  
Video Fusion

scholarly journals Traffic Flow Parameters Collection under Variable Illumination Based on Data Fusion

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Shaojie Jin ◽  
Ying Gao ◽  
Shoucai Jing ◽  
Fei Hui ◽  
Xiangmo Zhao ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Millimeter Wave ◽  
Flow Characteristics ◽  
Vehicle Detection ◽  
Radar Data ◽  
Urban Traffic ◽  
Millimeter Wave Radar ◽  
Flow Parameters ◽  
Wave Radar ◽  
Traffic Flow Characteristics

Accurate traffic flow parameters are the supporting data for analyzing traffic flow characteristics. Vehicle detection using traffic surveillance pictures is a typical method for gathering traffic flow characteristics in urban traffic scenes. In complicated lighting conditions at night, however, neither classical nor deep-learning-based image processing algorithms can provide adequate detection results. This study proposes a fusion technique combining millimeter-wave radar data with image data to compensate for the lack of image-based vehicle detection under complicated lighting to complete all-day parameters collection. The proposed method is based on an object detector named CenterNet. Taking this network as the cornerstone, we fused millimeter-wave radar data into it to improve the robustness of vehicle detection and reduce the time-consuming postcalculation of traffic flow parameters collection. We collected a new dataset to train the proposed method, which consists of 1000 natural daytime images and 1000 simulated nighttime images with a total of 23094 vehicles counted, where the simulated nighttime images are generated by a style translator named CycleGAN to reduce labeling workload. Another four datasets of 2400 images containing 20161 vehicles were collected to test the proposed method. The experimental results show that the method proposed has good adaptability and robustness at natural daytime and nighttime scenes.

The Large Millimeter Wave Radar Phased Antenna Array

2000 ◽  
Vol 54 (10) ◽  
pp. 101-111
Author(s):  
Aleksey Alekseevich Tolkachev ◽  
Vasiliy Andreevich Makota ◽  
Mariya Petrovna Pavlova ◽  
Anatoliy Moiseevich Nikolaev ◽  
Vladimir Victorovich Denisenko ◽  
...  
Keyword(s):  
Antenna Array ◽  
Millimeter Wave ◽  
Millimeter Wave Radar ◽  
Wave Radar ◽  
Phased Antenna Array

Antenna for Navigational Shipborne Millimeter-Wave Radar

2006 ◽  
Vol 65 (16) ◽  
pp. 1453-1462
Author(s):  
A. N. Nechiporenko ◽  
L. D. Fesenko
Keyword(s):  
Millimeter Wave ◽  
Millimeter Wave Radar ◽  
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
Sign in / Sign up

Export Citation Format

Share Document