A Review of Multi-Sensor Fusion System for Large Heavy Vehicles Off Road in Industrial Environments

Industry 4.0 or fourth industrial revolution elevates the computerization of Industry 3.0 and enhances it with smart and autonomous systems driven by data and Machine Learning. This paper reviews the advantages and disadvantages of sensors and the architecture of multi-sensor setup for object detect...

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Vydáno v:Irish Signals and Systems Conference (Online) s. 1 - 6
Hlavní autoři: Yeong, De Jong, Barry, John, Walsh, Joseph
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.06.2020
Témata:
autonomous systems
Cameras
Laser radar
multi-sensor
object detection
Sensor fusion
Sensor systems
Synchronization
time synchronisation
ISSN:2688-1454
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Shrnutí:Industry 4.0 or fourth industrial revolution elevates the computerization of Industry 3.0 and enhances it with smart and autonomous systems driven by data and Machine Learning. This paper reviews the advantages and disadvantages of sensors and the architecture of multi-sensor setup for object detection. Here we consider the case of autonomous systems in for large heavy vehicles off-road in industrial environments with the use of camera sensor, LiDAR sensor, and radar sensor. Understanding the vehicles surroundings is a vital task in autonomous operation where personnel and other obstacles present significant hazard of collision. This paper review further discusses the challenges of time synchronisation on sensor data acquisition in multi-modal sensor fusion for personnel and object detection, and details a solution implemented in a Python environment.
ISSN:2688-1454
DOI:10.1109/ISSC49989.2020.9180186