Road Region Extraction Algorithm and Benchmark for Complex Illumination Road Scene

Jingchao Yang; Yong Li; Jianjun Zhang

doi:10.3788/LOP57.121504

[1] Hillel A, Lerner R, Levi D et al. Recent progress in road and lane detection: a survey[J]. Machine Vision and Applications, 25, 727-745(2014).

[2] Ding W L, Li Y. Efficient vanishing point detection method in complex urban road environments[J]. IET Computer Vision, 9, 549-558(2015).

[3] Ding W L, Li Y, Wang W F et al. Vanishing point detection algorithm for urban road image based on the envelope of perpendicular and parallel lines[J]. Acta Optica Sinica, 34, 1015002(2014).

[4] Kong H, Audibert J Y, Ponce J. General road detection from a single image[J]. IEEE Transactions on Image Processing, 19, 2211-2220(2010).

[5] Tian Z, Xu C, Mi C et al. Road segmentation based on vanishing point and principal orientation estimation[J]. Journal of Computer Research and Development, 51, 762-772(2014).

[6] Fang H, Jia R, Lu J P. Segmentation of full vision images based on colour and texture features[J]. Transactions of Beijing Institute of Technology, 30, 935-939(2010).

[7] Zhang G, Zheng N N, Cui C et al. An efficient road detection method in noisy urban environment. [C]∥2009 IEEE Intelligent Vehicles Symposium, June 3-5, 2009. Xi'an, China. IEEE, 556-561(2009).

[8] Wang K, Huang Z, Zhong Z H. Multi-feature fusion based lane understanding algorithm[J]. China Journal of Highway and Transport, 26, 176-183(2013).

[9] Chen C L, Tai C L. Adaptive fuzzy color segmentation with neural network for road detections[J]. Engineering Applications of Artificial Intelligence, 23, 400-410(2010).

[10] Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015. Boston, MA, USA. IEEE, 3431-3440(2015).

[11] Oliveira G L, Burgard W, Brox T. Efficient deep models for monocular road segmentation. [C]∥2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 9-14, 2016. Daejeon, South Korea. IEEE, 4885-4891(2016).

[12] Qu L Q, Tian J D, Han Z et al. Pixel-wise orthogonal decomposition for color illumination invariant and shadow-free image[J]. Optics Express, 23, 2220-2239(2015).

[13] Duan Z G, Qu L Q, Tian J D et al. Outdoor illumination shadow detection based on orthogonal decomposition[J]. Acta Optica Sinica, 36, 0815002(2016).

[14] He K M, Sun J, Tang X O. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 2341-2353(2011).

[15] Wang E D, Sun AN, Li Y et al. Fast vanishing point detection method based on road border region estimation[J]. IET Image Processing, 12, 361-373(2018).

[16] Ding W, Li Y, Wang W. An effective unstructured road navigation and intelligent warning system method based on vanishing point[J]. Opto-Electronic Engineering, 43, 63-69(2016).

[17] Wang W F, Ding W L, Li Y et al. An efficient road detection algorithm based on parallel edges[J]. Acta Optica Sinica, 35, 0715001(2015).

[18] Duan Z G, Li Y, Wang E D et al. Road and navigation line detection algorithm from shadow image based on the illumination invariant image[J]. Acta Optica Sinica, 36, 1215004(2016).

[19] Li Y, Tong G F, Sun A N et al. Road extraction algorithm based on intrinsic image and vanishing point for unstructured road image[J]. Robotics and Autonomous Systems, 109, 86-96(2018).

[20] Wang E D, Li Y, Sun AN et al. Road detection based on illuminant invariance and quadratic estimation[J]. Optik, 185, 672-684(2019).

[21] Li Y, Ding W L, Zhang X G et al. Road detection algorithm for autonomous navigation systems based on dark channel prior and vanishing point in complex road scenes[J]. Robotics and Autonomous Systems, 85, 1-11(2016).

[22] Yu F, Xian W Q, Chen Y Y et al[2019-11-01]. BDD100K: a diverse driving video database with scalable annotation tooling [2019-11-01].https: ∥arxiv., org/abs/1805, 04687.