radar detection
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2022 ◽  
Author(s):  
Claudia Conte ◽  
Sofia Verini Supplizi ◽  
Giorgio de Alteriis ◽  
Antonio Mele ◽  
Giancarlo Rufino ◽  
...  
Keyword(s):  


2022 ◽  
Author(s):  
Chengpeng Hao ◽  
Danilo Orlando ◽  
Jun Liu ◽  
Chaoran Yin


2022 ◽  
Author(s):  
Ghufran M. Hatema ◽  
Qusay J. Kadhim ◽  
Thamir R. Saeed ◽  
Shaymaa A. Mohamed


2021 ◽  
Author(s):  
yanyi wang ◽  
Junjie Ding ◽  
mingxue wang ◽  
Ze Dong ◽  
Jianjun Yu


2021 ◽  
pp. 23-44
Author(s):  
Chengpeng Hao ◽  
Danilo Orlando ◽  
Jun Liu ◽  
Chaoran Yin


2021 ◽  
pp. 103371
Author(s):  
Jie Wang ◽  
Jian Liu ◽  
Wenhao Zhao ◽  
Nan Xiao




2021 ◽  
Author(s):  
yanyi wang ◽  
Ze Dong ◽  
Junjie Ding ◽  
li ping ◽  
mingxue wang ◽  
...  


2021 ◽  
Vol 2108 (1) ◽  
pp. 012069
Author(s):  
Wei He ◽  
Shenglei Hu ◽  
Wang Pan ◽  
Lijuan Zhang

Abstract When the traditional electric construction crane safely avoids obstacles, obstacles are only detected according to the parameter estimation results, which is greatly affected by the external environment and takes a long time to avoid obstacles. Aiming at the above problems, the safety obstacle avoidance method of electric construction crane based on millimeter wave radar is studied. The millimeter wave radar is used to obtain the millimeter wave radar detection signal for crane safety obstacle avoidance. According to the impulse response of millimeter wave radar detection echo, the obstacle location mark and distance estimation are carried out, and the distance and azimuth information between the crane and the obstacle are calculated. By optimizing the safe obstacle avoidance path of electric construction cranes, the safe obstacle avoidance of electric construction cranes can be realized. Through comparative simulation experiments, it is verified that the design method takes less time to avoid obstacles, has higher efficiency, and does not collide with obstacles in the workspace in the process of movement, which verifies the effectiveness of the method.



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