JOURNAL ARTICLE

Sensor data fusion for multiple configurations

Abstract

This paper presents a fusion architecture designed for vehicle manufacturers that use multiple sensor systems to realize several active safety applications, ranging from standard systems to autonomous systems. Advantages and disadvantages of design choices are discussed and the methods we have chosen to implement in two demonstrator vehicles are used as examples. The main contributions are the separation of the architecture into three categories, the state vector parametrization, and the use of multiple output-lists. Together, these choices make it possible to re-use verified core functionality while filters can be independently tuned to meet application-specific requirements.

Keywords:
Sensor fusion Computer science Architecture Parametrization (atmospheric modeling) Ranging Core (optical fiber) Embedded system Control engineering Distributed computing Real-time computing Engineering Artificial intelligence

Metrics

8
Cited By
2.41
FWCI (Field Weighted Citation Impact)
20
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Sensor Technology and Measurement Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications

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