Web-based Video-Assisted Point Cloud Annotation for ADAS validation

Author:

Mujika Andoni1,Fanlo Ana Dominguez2,Tamayo Iñigo2,Senderos Orti2,Barandiaran Javier2,Aranjuelo Nerea2,Nieto Marcos2,Otaegui Oihana2

Affiliation:

1. Vicomtech, Spain

2. Vicomtech

Publisher

ACM

Reference26 articles.

1. David Acuna Huan Ling Amlan Kar and Sanja Fidler. 2018. Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++. In CVPR. David Acuna Huan Ling Amlan Kar and Sanja Fidler. 2018. Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++. In CVPR.

2. Hitachi Automotive and Industry Laboratory. 2019. Semantic Segmentation Editor. http://sse.hup.li/edit/%2Fsamples%2Fpointcloud.pcd Hitachi Automotive and Industry Laboratory. 2019. Semantic Segmentation Editor. http://sse.hup.li/edit/%2Fsamples%2Fpointcloud.pcd

3. Mariusz Bojarski Davide Del Testa Daniel Dworakowski Bernhard Firner Beat Flepp Prasoon Goyal Lawrence D. Jackel Mathew Monfort Urs Muller Jiakai Zhang Xin Zhang Jake Zhao and Karol Zieba. 2016. End to End Learning for Self-Driving Cars. CoRR abs/1604.07316(2016). arxiv:1604.07316http://arxiv.org/abs/1604.07316 Mariusz Bojarski Davide Del Testa Daniel Dworakowski Bernhard Firner Beat Flepp Prasoon Goyal Lawrence D. Jackel Mathew Monfort Urs Muller Jiakai Zhang Xin Zhang Jake Zhao and Karol Zieba. 2016. End to End Learning for Self-Driving Cars. CoRR abs/1604.07316(2016). arxiv:1604.07316http://arxiv.org/abs/1604.07316

4. Aleksey Boyko. 2015. Efficient Interfaces for Accurate Annotation of 3D Point Clouds. Ph.D. Dissertation. Princeton University. Aleksey Boyko. 2015. Efficient Interfaces for Accurate Annotation of 3D Point Clouds. Ph.D. Dissertation. Princeton University.

5. Brian Danchilla. 2012. Three.js Framework. Apress Berkeley CA 173–203. Brian Danchilla. 2012. Three.js Framework. Apress Berkeley CA 173–203.

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