TY - GEN
T1 - Unsupervised monocular depth estimation for autonomous driving
AU - Huang, Chih Hsuan
AU - Tsung, Wan Nung
AU - Yang, Wei Jong
AU - Chen, Chin Hsing
N1 - Publisher Copyright:
© 2019 ITE and SID
PY - 2019
Y1 - 2019
N2 - 3D technology with range information has become a staple requirement in computer vision. For this reason, we believe that the depth information can effectively improve the vision capabilities for many applications. In this paper, we proposed an unsupervised monocular depth estimation network to extract the depth map of street views.
AB - 3D technology with range information has become a staple requirement in computer vision. For this reason, we believe that the depth information can effectively improve the vision capabilities for many applications. In this paper, we proposed an unsupervised monocular depth estimation network to extract the depth map of street views.
UR - http://www.scopus.com/inward/record.url?scp=85105360721&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85105360721&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85105360721
T3 - Proceedings of the International Display Workshops
SP - 128
EP - 131
BT - 26th International Display Workshops, IDW 2019
PB - International Display Workshops
T2 - 26th International Display Workshops, IDW 2019
Y2 - 27 November 2019 through 29 November 2019
ER -