A Robust Lane Detection Method Using Adaptive Road Mask
碩士 === 銘傳大學 === 資訊傳播工程學系碩士班 === 103 === Lane line detection and tracking plays an important role in the automatic vehicle monitoring. However, the detection for non-linear lanes may lead to significant detection error. This thesis studies an adaptive road mask generation method to overcome changes o...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/87147029160765297050 |
| Summary: | 碩士 === 銘傳大學 === 資訊傳播工程學系碩士班 === 103 === Lane line detection and tracking plays an important role in the automatic vehicle monitoring. However, the detection for non-linear lanes may lead to significant detection error. This thesis studies an adaptive road mask generation method to overcome changes of curvature of land road. Furthermore, the adaptive road mask is generated by applying the fast vanishing-point detection scheme. This method is highly computationally efficient, robust to lane change, and adaptive to the captured road scenario. Experimental results with a variety of curved lanes videos confirmed that this method can get good detection results.
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