X-Align++: cross-modal cross-view alignment for Bird’s-eye-view segmentation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://link.springer.com/content/pdf/10.1007/s00138-023-01400-7.pdf
Reference71 articles.
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3. Wu, P., Chen, S., Metaxas, D.N.: MotionNet: joint perception and motion prediction for autonomous driving based on Bird’s eye view maps. In: Proceedings of CVPR, pp. 11385–11395 (2020)
4. Chitta, K., Prakash, A., Geiger, A.: NEAT: neural attention fields for end-to-end autonomous driving. In: Proceedings of ICCV, pp. 15793–15803 (2021)
5. Philion, J., Fidler, S.: Lift, splat, shoot: encoding images from arbitrary camera rigs by implicitly unprojecting to 3D. In: Proceedings of ECCV, pp. 194–210 (2020)
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