A LiDAR Point Cloud Generator
Author:
Affiliation:
1. University of California, Berkeley, Berkeley, CA, USA
Funder
CPS: Frontier: Collaborative Research: Data-Driven Cyberphysical Systems
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3206025.3206080
Reference29 articles.
1. Daniel Biedermann Matthias Ochs and Rudolf Mester. 2016. Evaluating visual ADAS components on the COnGRATS dataset IEEE Intelligent Vehicles Symposium. 986--991. Daniel Biedermann Matthias Ochs and Rudolf Mester. 2016. Evaluating visual ADAS components on the COnGRATS dataset IEEE Intelligent Vehicles Symposium. 986--991.
2. Cheaper by the dozen
3. Ayush Dewan Gabriel L Oliveira and Wolfram Burgard. 2017. Deep Semantic Classification for 3D LiDAR Data. arXiv preprint arXiv:1706.08355 (2017). Ayush Dewan Gabriel L Oliveira and Wolfram Burgard. 2017. Deep Semantic Classification for 3D LiDAR Data. arXiv preprint arXiv:1706.08355 (2017).
4. David Dohan Brian Matejek and Thomas Funkhouser. 2015. Learning hierarchical semantic segmentations of lidar data International Conference on 3D Vision. 273--281. 10.1109/3DV.2015.38 David Dohan Brian Matejek and Thomas Funkhouser. 2015. Learning hierarchical semantic segmentations of lidar data International Conference on 3D Vision. 273--281. 10.1109/3DV.2015.38
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