A method for collaborative arrangement of vehicle body multi-sensor based on vibration suppression and fusion perception
By optimizing sensor placement and implementing graded vibration reduction design, combined with data fusion algorithms, the impact of vehicle body vibration on perception accuracy was resolved, resulting in improved vibration resistance and perception accuracy, and providing a highly reliable hardware platform for high-level autonomous driving.
CN122365696APending Publication Date: 2026-07-10DALIAN UNIV OF TECH
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- DALIAN UNIV OF TECH
- Filing Date
- 2026-03-12
- Publication Date
- 2026-07-10
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Figure CN122365696A_ABST
Abstract
This invention provides a collaborative arrangement method for multiple sensors on a vehicle body based on vibration suppression and fusion perception, belonging to the field of intelligent driving perception technology. The method includes: determining the placement and quantity of cameras and radars based on the vehicle body topology and intelligent driving perception requirements, as an initial placement scheme; constructing a finite element model of the vehicle body based on the initial placement scheme, performing vibration modal simulation, and obtaining the vehicle body vibration frequency spectrum; adjusting the sensor positions based on the sensor natural frequencies and the vehicle body vibration frequency spectrum to avoid resonant frequency bands, generating a sensor placement scheme; verifying the sensor placement scheme, if it does not meet the perception range requirements of intelligent driving, re-determining the positions and quantities of cameras and radars, and updating the initial placement scheme; if it meets the perception range requirements of intelligent driving, constructing a graded vibration reduction connection structure to obtain the final placement scheme. This method achieves a multi-dimensional synergistic improvement in vibration resistance, perception accuracy, and system reliability.
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Citation Information
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