Research on Perception Optimization of Multi-Sensor Fusion in Unmanned Vehicle-Road Coordination

DOI: https://doi.org/10.62517/jbdc.202501315

Author(s)

Tianhao Lan

Affiliation(s)

Harbin University of Science and Technology, Harbin, China

Abstract

This article focuses on the perception optimization problem of multi-sensor fusion in the vehicle-road coordination of unmanned driving. Firstly, the background and significance of unmanned vehicle-road coordination were expounded, and the key position of the perception link in it was emphasized. Then, the concept, characteristics and advantages of multi-sensor fusion technology were analyzed, and the common types of sensors and their roles in unmanned driving perception were introduced in detail. Then, the challenges faced by perception in the vehicle-road coordination environment were deeply explored, and the specific role of multi-sensor fusion in perception optimization was analyzed from the data level, algorithm level and application level. Finally, the future development direction was prospected, aiming to provide theoretical references for the further development of unmanned vehicle-road cooperative perception technology.

Keywords

Multi-Sensor Fusion; Driverless; Vehicle-Road Coordination; Perception Optimization

References

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