Journal Article

Data synchronization strategies for multi-sensor fusion

  • Kaempchen N
  • Dietmayer K
Proceedings of the IEEE Conference on Intelligent Transportation Systems (2003) 1-9
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Abstract

Advanced driver assistance systems (ADAS) have increasing demand for several sensor systems. Fusing multi-sensor data enlarges the field of view and increases the certainty and precision of the estimates. A crucial part of a fusion system is the data association, which requires data synchronization. The major synchronization strategies for data fusion are discussed and contrasted with respect to their usability in ADAS.

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APA

Kaempchen, N., & Dietmayer, K. (2003). Data synchronization strategies for multi-sensor fusion. Proceedings of the IEEE Conference on Intelligent Transportation Systems, 1–9.

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