Keyframe Selection, Communication, and Prediction for Teleoperated Driving Systems

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Abstract

The institutional repository explicitly lists no abstract. The linked item is a one-page poster without a separate abstract section; the summary below is AI-generated.

Summary

This poster proposes transmitting selected keyframes instead of every video frame in teleoperated driving. A predictor reconstructs the intervening observations to address bandwidth and delay, with preliminary evaluation in CARLA.

Publication record: https://eprints.gla.ac.uk/277210/

Bibtex

@inproceedings{teleoperationkeyframeposter2022,
  author={Diao, Y. and Dai, H. and Zhao, G. and De Martini, D.},
  title={Keyframe Selection, Communication, and Prediction for Teleoperated Driving Systems},
  year={2022},
  booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Late Breaking Results},
  url={https://eprints.gla.ac.uk/277210/},
  note={Late Breaking Results poster},
}