End-to-end Lane Detection through Differentiable Least-Squares Fitting
暂无分享,去创建一个
Luc Van Gool | Marc Proesmans | Davy Neven | Bert De Brabandere | Wouter Van Gansbeke | L. Gool | M. Proesmans | D. Neven
[1] Justin Domke,et al. Generic Methods for Optimization-Based Modeling , 2012, AISTATS.
[2] Honglak Lee,et al. Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision , 2016, NIPS.
[3] Yunhe Pan,et al. Computer-Aided Industrial Design & Conceptual Design , 2009 .
[4] Luis Miguel Bergasa,et al. Efficient ConvNet for real-time semantic segmentation , 2017, 2017 IEEE Intelligent Vehicles Symposium (IV).
[5] O. Faugeras. Three-dimensional computer vision: a geometric viewpoint , 1993 .
[6] Bernhard P. Wrobel,et al. Multiple View Geometry in Computer Vision , 2001 .
[7] Luc Van Gool,et al. Towards End-to-End Lane Detection: an Instance Segmentation Approach , 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).
[8] Paul J. Besl,et al. A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[9] M. Giles. An extended collection of matrix derivative results for forward and reverse mode algorithmic dieren tiation , 2008 .
[10] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[11] Guangqian Lu,et al. A Lane Detection, Tracking and Recognition System for Smart Vehicles , 2015 .
[12] Viorica Patraucean,et al. gvnn: Neural Network Library for Geometric Computer Vision , 2016, ECCV Workshops.
[13] Roberto Cipolla,et al. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[14] J. Zico Kolter,et al. OptNet: Differentiable Optimization as a Layer in Neural Networks , 2017, ICML.
[15] Mohan M. Trivedi,et al. Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation , 2006, IEEE Transactions on Intelligent Transportation Systems.
[16] Stephen Mann,et al. Geometric algebra for computer science - an object-oriented approach to geometry , 2007, The Morgan Kaufmann series in computer graphics.
[17] Vidya N. Murali,et al. DeepLanes: End-To-End Lane Position Estimation Using Deep Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[18] Paul J. Besl,et al. Method for registration of 3-D shapes , 1992, Other Conferences.
[19] Keshou Wu,et al. A fast and stable lane detection method based on B-spline curve , 2009, 2009 IEEE 10th International Conference on Computer-Aided Industrial Design & Conceptual Design.
[20] Xiaogang Wang,et al. Spatial As Deep: Spatial CNN for Traffic Scene Understanding , 2017, AAAI.
[21] Pierre Vandergheynst,et al. Geometric Deep Learning: Going beyond Euclidean data , 2016, IEEE Signal Process. Mag..
[22] David Pfau,et al. Unrolled Generative Adversarial Networks , 2016, ICLR.
[23] Jonathan Masci,et al. Learning shape correspondence with anisotropic convolutional neural networks , 2016, NIPS.
[24] Bastian Goldlücke,et al. Variational Analysis , 2014, Computer Vision, A Reference Guide.
[25] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.
[26] Roberto Cipolla,et al. Geometric Loss Functions for Camera Pose Regression with Deep Learning , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] P. Holland,et al. Robust regression using iteratively reweighted least-squares , 1977 .
[28] Ersin Yumer,et al. Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision , 2016, NIPS.
[29] Andrew Zisserman,et al. Spatial Transformer Networks , 2015, NIPS.
[30] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[31] Alex Kendall,et al. End-to-End Learning of Geometry and Context for Deep Stereo Regression , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[32] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[33] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[34] E. Teoh,et al. LANE DETECTION USING CATMULL-ROM SPLINE , 1998 .