Daimler Pedestrian Path Prediction ECCV'14
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This page covers the Daimler Pedestrian Path Prediction Benchmark Dataset introduced in

J. F. P. Kooij, N. Schneider, F. Flohr and D. M. Gavrila.
Context-based Pedestrian Path Prediction.
Proc. of the European Conference on Computer Vision, Part VI, LNCS, pp.618-633, Springer, 2014.

pedestrian dataset

License Terms

This dataset is made freely available to academic and non-academic entities for  non-commercial purposes such as academic research, teaching, scientific publications, or personal experimentation. Permission is granted to use, copy, and distribute the data given that you agree:

  1. That the dataset comes "AS IS", without express or implied warranty. Although every effort has been made to ensure accuracy, Daimler (or the website host) does not accept any responsibility for errors or omissions.
  2. That you include a reference to the above publication in any published work that makes use of the dataset.
  3. That if you have altered the content of the dataset or created derivative work, prominent notices are made so that any recipients know that they are not receiving the original data.
  4. That you may not use or distribute the dataset or any derivative work for commercial purposes as, for example, licensing or selling the data, or using the data with a purpose to procure a commercial gain.
  5. That this original license notice is retained with all copies or derivatives of the dataset.
  6. That all rights not expressly granted to you are reserved by Daimler.

  Recent Daimler
 publications on pedestrian detection

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