Stereo vision during adverse weather — Using priors to increase robustness in real-time stereo vision

作者：

Highlights：

• A stereo vision solution for adverse weather is proposed.

• Temporal and scene priors stabilize the disparity estimation process.

• A false-positive-rate reduction by a factor of 3 for bad weather is obtained.

• A real-time implementation on an embedded platform is presented.

摘要

•A stereo vision solution for adverse weather is proposed.•Temporal and scene priors stabilize the disparity estimation process.•A false-positive-rate reduction by a factor of 3 for bad weather is obtained.•A real-time implementation on an embedded platform is presented.

论文关键词：Stereo vision,Embedded computer vision,Autonomous driving,Mobile robotics

论文评审过程：Received 7 July 2016, Revised 31 January 2017, Accepted 21 July 2017, Available online 8 August 2017, Version of Record 30 November 2017.

论文官网地址：https://doi.org/10.1016/j.imavis.2017.07.008