Collision avoidance for nanosatellite clusters using millimeter-wave radiometric motion sensors

1999 ◽  
Author(s):  
David C. Goodfellow ◽  
Derek Abbott
Keyword(s):  
Collision Avoidance ◽  
Millimeter Wave ◽  
Motion Sensors

3221 Development of Pedestrian Collision Avoidance System by Monocular Camera and Millimeter Wave Radar

2008 ◽  
Vol 2008.17 (0) ◽  
pp. 273-276
Author(s):  
Yuta Takimoto ◽  
Hirotomo Muroi ◽  
Ikuko Shimizu ◽  
Masao Nagai ◽  
Michael Darms ◽  
...  
Keyword(s):  
Collision Avoidance ◽  
Millimeter Wave ◽  
Millimeter Wave Radar ◽  
Monocular Camera ◽  
Wave Radar ◽  
Collision Avoidance System

Millimeter-wave collision avoidance sensors: future directions

1999 ◽  
Author(s):  
David C. Goodfellow ◽  
Gregory P. Harmer ◽  
Derek Abbott
Keyword(s):  
Collision Avoidance ◽  
Millimeter Wave ◽  
Future Directions ◽  
Wave Collision

Research on Target Recognition of the Millimeter Wave Car Collision Avoidance Radar Based on the LFMCW

2014 ◽  
Vol 1056 ◽  
pp. 244-247
Author(s):  
Shuang Zhao ◽  
Lei Chen
Keyword(s):  
Collision Avoidance ◽  
Millimeter Wave ◽  
Target Recognition ◽  
Single Line ◽  
Main Lobe ◽  
Correction Algorithm ◽  
Multiple Targets ◽  
One Dimensional ◽  
Sampling Points ◽  
The One

When adding zero to the the sampling points or weighting the sampling points to suppress the sidelobe, the result of the one-dimensional FFT processing for the target echo will appear multiple lines in the the main lobe of the spectrum. It creates fuzzy targets which we can not distinguish it is a target or multiple targets. To solve this problem, we proposed a correction algorithm. By the correction algorithm, the multiple lines in the main lobe of the spectrum can be corrected to be a single line in the main lobe. It solves the problem of fuzzy targets and improves the distance accuracy of the radar.

scholarly journals oc-approach for Safety-oriented Multi-channel Communication in Industrial Application of Human-robot-collaboration (HRC)

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Collision Avoidance ◽  
Millimeter Wave ◽  
Industrial Application ◽  
Industrial Applications ◽  
Radar Sensor ◽  
Millimeter Wave Radar ◽  
Radar Sensors ◽  
Wave Radar ◽  
System On A Chip ◽  
Human Robot Collaboration

The importance of human-robot collaboration systems in industrial applications has increased due to the orientation towards the smart factory approach. To ensure the safety of such systems, collision avoidance techniques based on millimeter-wave radar sensors are used. Safe communication between the robot and the radar sensor is ensured by using the safety system on a chip based on 1oo2D architecture. The design and prototyping of a multi-channel communication FPGA-based development board is presented. Furthermore, the FPGA implementation of SoC with multiple Ethernet MAC interfaces based on various soft cores is demonstrated.

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