Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges. Heyn, H., Habibullah, K. M., Knauss, E., Horkoff, J., Borg, M., Knauss, A., & Li, P. J. In 2nd IEEE/ACM International Conference on AI Engineering - Software Engineering for AI, CAIN 2023, Melbourne, Australia, May 15-16, 2023, pages 13–24, 2023. IEEE.
Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/cain/HeynHKHBKL23,
  author       = {Hans{-}Martin Heyn and
                  Khan Mohammad Habibullah and
                  Eric Knauss and
                  Jennifer Horkoff and
                  Markus Borg and
                  Alessia Knauss and
                  Polly Jing Li},
  title        = {Automotive Perception Software Development: An Empirical Investigation
                  into Data, Annotation, and Ecosystem Challenges},
  booktitle    = {2nd {IEEE/ACM} International Conference on {AI} Engineering - Software
                  Engineering for AI, {CAIN} 2023, Melbourne, Australia, May 15-16,
                  2023},
  pages        = {13--24},
  publisher    = {{IEEE}},
  year         = {2023},
  url          = {https://doi.org/10.1109/CAIN58948.2023.00011},
  doi          = {10.1109/CAIN58948.2023.00011},
  timestamp    = {Fri, 07 Jul 2023 16:15:16 +0200},
  biburl       = {https://dblp.org/rec/conf/cain/HeynHKHBKL23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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