Pu­bli­ka­tio­nen

[ 2022 ] [ 2021 ] [ 2019 ] [ 2018 ]

2022 [ nach oben ]

  • 1.
    Schneegans, J., Bieshaar, M., Sick, B.: A Practical Evaluation of Active Learning Approaches for Object Detection. Workshop on Interactive Adaptive Learning (IAL), ECML PKDD. bll. 49–67 (2022).
     

2021 [ nach oben ]

  • 1.
    Schneegans, J., Eilbrecht, J., Zernetsch, S., Bieshaar, M., Doll, K., Stursberg, O., Sick, B.: Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning -- A Case Study: Overtaking Cyclists. Workshop From Benchmarking Behavior Prediction to Socially Compatible Behavior Generation in Autonomous Driving, IV (2021).
     
  • 2.
    Schneegans, J., Bieshaar, M., Heidecker, F., Sick, B.: Intelligent and Interactive Video Annotation for Instance Segmentation using Siamese Neural Networks. Workshop on Integrated Artificial Intelligence in Data Science, ICPR. bll. 375–389. IEEE, Milan, Italy (2021).
     

2019 [ nach oben ]

  • 1.
    Schneegans, J., Bieshaar, M.: Smart Device Based Initial Movement Detection of Cyclists Using Convolutional Neural Networks. In: Tomforde, S. en Sick, B. (reds.) Organic Computing -- Doctoral Dissertation Colloquium 2018. bll. 45–60. kassel university press, Kassel, Germany (2019).
     

2018 [ nach oben ]

  • 1.
    Bieshaar, M., Depping, M., Schneegans, J., Sick, B.: Starting Movement Detection of Cyclists Using Smart Devices. IEEE International Conference on Data Science and Advanced Analytics (DSAA). IEEE, Turin, Italy (2018).