Pu­bli­ka­tio­nen

[ 2021 ] [ 2020 ] [ 2019 ]

2021 [ nach oben ]

  • 1.
    Heidecker, F., Hannan, A., Bieshaar, M., Sick, B.: Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks. Workshop on Integrated Artificial Intelligence in Data Science, ICPR. bll. 361–374. IEEE, Milan, Italy (2021).
     
  • 2.
    Möller, F., Botache, D., Huseljic, D., Heidecker, F., Bieshaar, M., Sick, B.: Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders. Workshop on Safe Artificial Intelligence for Automated Driving (SAIAD), CVPR. bll. 1–10 (2021).
     
  • 3.
    Heidecker, F., Gruhl, C., Sick, B.: Novelty based Driver Identification on RR Intervals from ECG Data. Workshop on Integrated Artificial Intelligence in Data Science, ICPR. bll. 407–421. IEEE, Milan, Italy (2021).
     
  • 4.
    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).
     
  • 5.
    Bogdoll, D., Breitenstein, J., Heidecker, F., Bieshaar, M., Sick, B., Fingscheidt, T., Zöllner, J.M.: Description of Corner Cases in Automated Driving: Goals and Challenges. Embedded and Real-World Computer Vision in Autonomous Driving (ERCVAD), ICCV. bll. 1023–1028,. IEEE (2021).
     
  • 6.
    Heidecker, F., Breitenstein, J., Rösch, K., Löhdefink, J., Bieshaar, M., Stiller, C., Fingscheidt, T., Sick, B.: An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. IEEE Intelligent Vehicles Symposium (IV). bll. 644–651. IEEE, Nagoya, Japan (2021).
     

2020 [ nach oben ]

  • 1.
    Scharei, K., Heidecker, F., Bieshaar, M.: Knowledge Representations in Technical Systems -- A Taxonomy. arXiv e-prints. arXiv:2001.04835 (2020).
     

2019 [ nach oben ]

  • 1.
    Heidecker, F., Bieshaar, M., Sick, B.: Towards Corner Case Identification in Cyclists’ Trajectories. ACM Computer Science in Cars Symposium (CSCS). ACM (2019).