Where to Turn: Road Fork Detection in Sparse 3D Point Cloud
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1103-1_30
Reference13 articles.
1. Sun, P., Zhao, X., Xu, Z., Wang, R., Min, H.: A 3d lidar data-based dedicated road boundary detection algorithm for autonomous vehicles. IEEE Access 7, 29623–29638 (2019)
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3. Zhao, J., He, X., Li, J., Feng, T., Ye, C., Xiong, L.: Automatic vector-based road structure mapping using multibeam lidar. Remote Sens. 11(14), 1726 (2019)
4. Baumann, U., Huang, Y.Y., Gläser, C., Herman, M., Banzhaf, H., Zöllner, J.M.: Classifying road intersections using transfer-learning on a deep neural network. In: 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 683–690. IEEE (2018)
5. Wang, Y., Sun, Y., Liu, Z., Sarma, S.E., Bronstein, M.M., Solomon, J.M.: Dynamic graph CNN for learning on point clouds. ACM Trans. Graph. (ToG) 38(5), 1–12 (2019)
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