A microcontroller-based multi-sensor system using ultrasonic range sensors and radar sensors for sensor data fusion: accuracy study and performance test

Kevin Blümel; Michael Kuhl; Finn A. Hölzel; Karl Kunze

doi:10.1117/12.2673864

9 August 2023 A microcontroller-based multi-sensor system using ultrasonic range sensors and radar sensors for sensor data fusion: accuracy study and performance test

Kevin Blümel, Michael Kuhl, Finn A. Hölzel, Karl Kunze

Author Affiliations +

Proceedings Volume 12621, Multimodal Sensing and Artificial Intelligence: Technologies and Applications III; 1262119 (2023) https://doi.org/10.1117/12.2673864
Event: SPIE Optical Metrology, 2023, Munich, Germany

Conference Poster

Abstract

A microcontroller-based multi-sensor system using ultrasonic range sensors and radar sensors for sensor data fusion is presented. Using this system as a warning system can detect and prevent forklift accidents in the industry: The system uses the combined sensor data to detect objects’ distance, angle, and speed and calculate object trajectories to determine the risk of each moving object in the detection area. Because the dimensions of the microcontroller-based warning system are very small, it can be integrated into a warning vest for a factory worker. If the system detects and categorizes objects as risk, the factory worker is noticed by vibrotactile feedback about the location of the risk object. The paper deals with the introduction of the system followed by accuracy study and performance test.

Citation Download Citation

Kevin Blümel, Michael Kuhl, Finn A. Hölzel, and Karl Kunze "A microcontroller-based multi-sensor system using ultrasonic range sensors and radar sensors for sensor data fusion: accuracy study and performance test", Proc. SPIE 12621, Multimodal Sensing and Artificial Intelligence: Technologies and Applications III, 1262119 (9 August 2023); https://doi.org/10.1117/12.2673864

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