Data Synchronization Strategies for Multi-sensor Fusion

نویسندگان

  • Nico Kaempchen
  • Klaus Dietmayer
چکیده

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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تاریخ انتشار 2003