- O. Benderius, C. Berger, and K. Blanch, “Are we ready for beyond-application high-volume data? The Reeds robot perception benchmark dataset,” preprint, 2021. (https://research.chalmers.se/publication/526057)
- A. Petersson, “Vision-based state estimation of autonomous boats,” master thesis, Chalmers University of Technology, 2021. (https://hdl.handle.net/20.500.12380/304109)
- B. Nguyen, C. Berger, and O. Benderius, “Systematic benchmarking for reproducibility of computer vision algorithms for real-time systems: The example of optic flow estimation,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2019, pp. 5264–5269. (https://research.chalmers.se/publication/520795)
- Y. Kang, H. Yin, and C. Berger, “Test your self-driving algorithm: An overview of publicly available driving datasets and virtual testing environments,” IEEE Transactions on Intelligent Vehicles, vol. 4, no. 2, pp. 171–185, 2019. (https://research.chalmers.se/publication/516387)
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