Deep Learning-based Person Detection on a Moving Robot
- Resource Type
- Conference
- Authors
- Gabsteiger, Jasmin; Maiwald, Timo; Kurin, Thomas; Dorn, Christian; Weigel, Robert; Lurz, Fabian
- Source
- 2024 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT) Wireless Sensors and Sensor Networks (WiSNeT), 2024 IEEE Topical Conference on. :41-44 Jan, 2024
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Signal Processing and Analysis
Wireless communication
Deep learning
Wireless sensor networks
MIMO radar
Robot sensing systems
Sensors
Convolutional neural networks
Mimo radar
person presence detection
deep learning
- Language
- ISSN
- 2473-4624
This paper presents a 60 GHz MIMO radar system on a moving robot for person presence detection. Due to the movement of the robot, many environmental influences are added. For this purpose, various scenarios were created and 8,000 data frames were recorded and processed. A convolutional neural network (CNN) was trained and evaluated using this data. Ultimately this low-cost system achieves 97% accuracy in classifying whether a person is present or absent.