Lane marking detection via deep convolutional neural network
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Xun Wang | Judith Gelernter | Weigang Chen | Xiaolan Li | Yan Tian | Yujie Zhang | Junxiang Gao | Yujie Zhang | Yan Tian | Junxiang Gao | Xun Wang | J. Gelernter | Xiaolan Li | Weigang Chen
[1] ZuWhan Kim,et al. Robust Lane Detection and Tracking in Challenging Scenarios , 2008, IEEE Transactions on Intelligent Transportation Systems.
[2] Luc Van Gool,et al. The Pascal Visual Object Classes Challenge: A Retrospective , 2014, International Journal of Computer Vision.
[3] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[5] Graham W. Taylor,et al. Adaptive deconvolutional networks for mid and high level feature learning , 2011, 2011 International Conference on Computer Vision.
[6] Soumith Chintala,et al. A MultiPath Network for Object Detection , 2016, BMVC.
[7] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[8] Abhinav Gupta,et al. Training Region-Based Object Detectors with Online Hard Example Mining , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Rama Chellappa,et al. A Learning Approach Towards Detection and Tracking of Lane Markings , 2012, IEEE Transactions on Intelligent Transportation Systems.
[11] Sridhar Lakshmanan,et al. Building world models for mobile platforms using heterogeneous sensors fusion and temporal analysis , 1997, Proceedings of Conference on Intelligent Transportation Systems.
[12] Reinhard Klein,et al. Efficient RANSAC for Point‐Cloud Shape Detection , 2007, Comput. Graph. Forum.
[13] Nikos Komodakis,et al. Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[14] Daniel Rueckert,et al. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Trevor Darrell,et al. Data-dependent Initializations of Convolutional Neural Networks , 2015, ICLR.
[16] Jitendra Malik,et al. Hypercolumns for object segmentation and fine-grained localization , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[18] Luc Van Gool,et al. DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[19] Nikos Komodakis,et al. LocNet: Improving Localization Accuracy for Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[21] Massimo Bertozzi,et al. GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection , 1998, IEEE Trans. Image Process..
[22] Anil K. Jain,et al. Lane boundary detection using a multiresolution Hough transform , 1997, Proceedings of International Conference on Image Processing.
[23] Léon Bottou,et al. Large-Scale Machine Learning with Stochastic Gradient Descent , 2010, COMPSTAT.
[24] Kavita Bala,et al. Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).