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. ICPR Workshop on Integrated Artificial Intelligence in Data Science. 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. Proc. of CVPR SAIAD Workshop (2021).
     
  • 3.
    Heidecker, F., Gruhl, C., Sick, B.: Novelty based Driver Identification on RR Intervals from ECG Data. ICPR Workshop on Integrated Artificial Intelligence in Data Science. 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. ICPR Workshop on Integrated Artificial Intelligence in Data Science. 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. ICCV - Embedded and Real-World Computer Vision in Autonomous Driving (ICCV-ERCVAD) (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. 2021 IEEE Intelligent Vehicles Symposium (IV). , Nagoya, Japan (2021).
     

2020 [ nach oben ]

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

2019 [ nach oben ]

  • 1.
    Heidecker, F., Bieshaar, M., Sick, B.: Towards Corner Case Identification in Cyclists’ Trajectories. Proceedings of CSCS ’19: 3rd ACM Symposium on Computer Science in Cars (CSCS ’19) (2019).