Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data

Yichen Ding, Xun Zhou, Han Bao, Yanhua Li, Cara Hamann, Steven Spears, Zhuoning Yuan. Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data. In Chang-Tien Lu, Fusheng Wang 0001, Goce Trajcevski, Yan Huang 0002, Shawn D. Newsam, Li Xiong 0001, editors, SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, Seattle, WA, USA, November 3-6, 2020. pages 337-346, ACM, 2020. [doi]

@inproceedings{DingZBLHSY20,
  title = {Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data},
  author = {Yichen Ding and Xun Zhou and Han Bao and Yanhua Li and Cara Hamann and Steven Spears and Zhuoning Yuan},
  year = {2020},
  doi = {10.1145/3397536.3422258},
  url = {https://doi.org/10.1145/3397536.3422258},
  researchr = {https://researchr.org/publication/DingZBLHSY20},
  cites = {0},
  citedby = {0},
  pages = {337-346},
  booktitle = {SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, Seattle, WA, USA, November 3-6, 2020},
  editor = {Chang-Tien Lu and Fusheng Wang 0001 and Goce Trajcevski and Yan Huang 0002 and Shawn D. Newsam and Li Xiong 0001},
  publisher = {ACM},
  isbn = {978-1-4503-8019-5},
}