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    • Holiday schedule (no meetings weeks of 23 and 30 December)
    • Tracking deliverables
      • need for accompanying implementation documentation on parameters of campaign, guidelines in general
      • roadmap when available - define when possible
        • diagram in miro ecosystem/marketplace, aosp and other in-vehicle apis, campaigns 
    • End of year nudges (SAE ITC, HD OEM, EV bus OEM, Stellantis, Japanese OEM in two regions...)
    • Camera discussion - meta data, use cases and provide input to VSS group

      Camera count (#)

      Resolution, FPS rate of camera

      Lens of camera (important for later analysis on videos)
      f-stop, manufacturer, identifier (sn) - video used as evidence in legal disputes

      Last calibration date - need to be done upon repairs, sometimes not done so worth tracking
      \either in workshop or in-vehicle, remotely

      Error/status before and after crash event

      Selection of camera (internal, external front, back, left side, right side, surround view)

      **Stream versus buffer (clip)
      relates to consent/privacy - willingness to share with specific party in certain events
      stream - higher bandwidth and cloud storage costs

      review how video is being handled in Android Automotive

      interest in object detection/identification - in-vehicle analysis and send observations instead of video similar to DMS in VSS

      Definition of conditions for camera feed to be stored (trigger events to be configurable- e.g. accident critical event or specific situation e.g. “pedestrians close to the vehicle. Time to collision below threshold”)

      Configuration of duration of video buffer - of seconds before and after an event

      Configuration of post processed video (e.g. privacy mode – anonymization of license plates, faces, reduced resolution)

      Live feed transmission or store video locally for later retrieval

      Configuration of context data (e.g. sensor data, time stamp) to be stored with a video triggered by a trigger event 

    • ADAS 
    • Check-in on ecosystem use cases

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