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The commonly used metrics for motion prediction do not correlate well with a self-driving vehicle's system-level performance.
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M.-F. Chang, J. Lambert, P. Sangkloy, J. Singh, S. Bak, A. Hartnett, D. Wang, P. Carr, S. Lucey, D. Ramanan et al. (2019) Argoverse motion forecasting competition. [Online]. Available: https://evalai.cloudcv.org/web/challenges/challenge-page/454/evaluation
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J. Houston, G. Zuidhof, L. Bergamini, Y. Ye, A. Jain, S. Omari, V. Iglovikov, and P. Ondruska. (2020) Lyft motion prediction for autonomous vehicles. [Online]. Available: https://github.com/lyft/l5kit/blob/master/competition.md
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H. Cui, V. Radosavljevic, F.-C. Chou, T.-H. Lin, T. Nguyen, T.-K. Huang, J. Schneider, and N. Djuric, “Multimodal trajectory predictions for autonomous driving using deep convolutional networks,” in 2019 International Conference on Robotics and Automation (ICRA) . IEEE, 2019, pp. 2090–2096
2096
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