Semantic Guided Long Range Stereo Depth Estimation for Safer Autonomous Vehicle Applications
Author:
Affiliation:
1. School of Engineering, RMIT University, Melbourne, VIC, Australia
2. School of Science, RMIT University, Melbourne, VIC, Australia
3. School of Science, Edith Cowan University, Joondalup, WA, Australia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/9916643/09771067.pdf?arnumber=9771067
Reference64 articles.
1. SegStereo: Exploiting Semantic Information for Disparity Estimation
2. EdgeStereo: A context integrated residual pyramid network for stereo matching;song;Proc Asian Conf Comput Vis (ACCV),2018
3. Efficient Deep Learning for Stereo Matching
4. End-to-End Learning of Geometry and Context for Deep Stereo Regression
5. Fundamental Performance Limits in Image Registration
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