A Blind-Zone Detection Method Using a Rear-Mounted Fisheye Camera With Combination of Vehicle Detection Methods
暂无分享,去创建一个
[1] Ying Zhu,et al. Reliable Detection of Overtaking Vehicles Using Robust Information Fusion , 2006, IEEE Transactions on Intelligent Transportation Systems.
[2] Chih-Hsien Hsia,et al. Panoramic image stitching system for automotive applications , 2014, 2014 IEEE International Conference on Consumer Electronics - Taiwan.
[3] Xue Chen,et al. A vehicle detection approach based on multi-features fusion in the fisheye images , 2011, 2011 3rd International Conference on Computer Research and Development.
[4] José Luis Gordillo,et al. A new method to follow a path on indoor environments applied for mobile robotics , 2014, 11th IEEE International Conference on Control & Automation (ICCA).
[5] Christopher Nemeth,et al. Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments , 2014, IEEE Transactions on Signal Processing.
[6] Mohan M. Trivedi,et al. Vehicle Detection by Independent Parts for Urban Driver Assistance , 2013, IEEE Transactions on Intelligent Transportation Systems.
[7] Kenji Nishida,et al. Real-Time Vehicle Detection using a Single Rear Camera for a Blind Spot Warning System , 2012 .
[8] C. Fernández,et al. Real-time vision-based blind spot warning system: Experiments with motorcycles in daytime/nighttime conditions , 2013 .
[9] Helen Sutherland,et al. The Royal Society for the Prevention of Accidents , 1950 .
[10] Rong-Chin Lo,et al. An improved obstacle detection using optical flow adjusting based on inverse perspective mapping for the vehicle safety , 2012, 2012 International Symposium on Intelligent Signal Processing and Communications Systems.
[11] Andrew Zisserman,et al. Planar grouping for automatic detection of vanishing lines and points , 2000, Image Vis. Comput..
[12] A. Makadia,et al. Image processing in catadioptric planes: spatiotemporal derivatives and optical flow computation , 2002, Proceedings of the IEEE Workshop on Omnidirectional Vision 2002. Held in conjunction with ECCV'02.
[13] Yasuhisa Hayakawa,et al. All Round Blind Spot Detection by Lens Condition Adaptation based on Rearview Camera Images , 2013 .
[14] Keiichi Abe,et al. Topological structural analysis of digitized binary images by border following , 1985, Comput. Vis. Graph. Image Process..
[15] Din-Chang Tseng,et al. Blind-Spot Vehicle Detection Using Motion and Static Features , 2014 .
[16] Edward Jones,et al. Wide-angle camera technology for automotive applications: a review , 2009 .
[17] Cheng-Yen Yang,et al. An Embedded All-Time Blind Spot Warning System , 2010 .
[18] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[19] Mohan M. Trivedi,et al. Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis , 2013, IEEE Transactions on Intelligent Transportation Systems.
[20] David Fernández Llorca,et al. Parking Assistance System for Leaving Perpendicular Parking Lots: Experiments in Daytime\/Nighttime Conditions , 2014, IEEE Intelligent Transportation Systems Magazine.
[21] Bing-Fei Wu,et al. A vision-based blind spot warning system for daytime and nighttime driver assistance , 2013, Comput. Electr. Eng..
[22] Elena Cardarelli. Vision-based Blind Spot Monitoring , 2011 .
[23] Huei-Yung Lin,et al. Lane departure and front collision warning using a single camera , 2012, 2012 International Symposium on Intelligent Signal Processing and Communications Systems.
[24] V. K. Pandey,et al. Real-time Object Detection by Road Plane Segmentation Technique for ADAS , 2012, 2012 Eighth International Conference on Signal Image Technology and Internet Based Systems.
[25] Dot Hs,et al. Analysis of Lane-Change Crashes and Near-Crashes , 2009 .
[26] Fuqiang Liu,et al. Vehicle localisation using a single camera , 2010, 2010 IEEE Intelligent Vehicles Symposium.
[27] Carlo Tomasi,et al. Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[28] Angelos Amditis,et al. Lateral motion tracking of automobiles , 2004 .
[29] Mohan M. Trivedi,et al. A General Active-Learning Framework for On-Road Vehicle Recognition and Tracking , 2010, IEEE Transactions on Intelligent Transportation Systems.
[30] Uwe Franke,et al. Visual guard rail detection for advanced highway assistance systems , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.
[31] Hongbin Zha,et al. On-road vehicle detection through part model learning and probabilistic inference , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[32] Wolfram Burgard,et al. Improved Monte Carlo localization of autonomous robots through simultaneous estimation of motion model parameters , 2010, 2010 IEEE International Conference on Robotics and Automation.
[33] Yu Liu,et al. Fish-eye distortion correction based on midpoint circle algorithm , 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[34] Sanjeev Singh,et al. SideEye: Mobile assistant for blind spot monitoring , 2014, 2014 International Conference on Computing, Networking and Communications (ICNC).
[35] Ying Wang,et al. On-road multi-vehicle tracking algorithm based on an improved particle filter , 2015 .
[36] David A. McAllester,et al. A discriminatively trained, multiscale, deformable part model , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[37] L. Udawatta,et al. Identification of moving obstacles with Pyramidal Lucas Kanade optical flow and k means clustering , 2007, 2007 Third International Conference on Information and Automation for Sustainability.
[38] Richard O. Duda,et al. Use of the Hough transformation to detect lines and curves in pictures , 1972, CACM.
[39] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[40] Bo Wang,et al. Robust traffic sign recognition and tracking for Advanced Driver Assistance Systems , 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.
[41] Geoff Wyvill,et al. The integral image method for fisheye images , 2013, 2013 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013).
[42] Li-Chen Fu,et al. Integrating Appearance and Edge Features for Sedan Vehicle Detection in the Blind-Spot Area , 2012, IEEE Transactions on Intelligent Transportation Systems.
[43] David H. Douglas,et al. ALGORITHMS FOR THE REDUCTION OF THE NUMBER OF POINTS REQUIRED TO REPRESENT A DIGITIZED LINE OR ITS CARICATURE , 1973 .
[44] J. Antin,et al. Evaluation of Lane Change Collision Avoidance Systems Using the National Advanced Driving Simulator , 2010 .
[45] Chang Wen Chen,et al. A novel video analysis approach for overtaking vehicle detection , 2013, 2013 International Conference on Connected Vehicles and Expo (ICCVE).
[46] Mohan M. Trivedi,et al. Overtaking & receding vehicle detection for driver assistance and naturalistic driving studies , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[47] Bruno Steux,et al. YEF (Yet Even Faster) Real-Time Object Detection , 2005, ALaRT.
[48] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[49] Larry D. Hostetler,et al. The estimation of the gradient of a density function, with applications in pattern recognition , 1975, IEEE Trans. Inf. Theory.
[50] Vincent Frémont,et al. Multi-sensors people detection system for heavy machines , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[51] Liam Kilmartin,et al. A comprehensive test framework to determine the spatial performance of camera-based vehicle detection algorithms , 2014, 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV).
[52] Alberto Broggi,et al. Vehicle detection for autonomous parking using a Soft-Cascade AdaBoost classifier , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.
[53] Fabien Moutarde,et al. Real-time visual detection of vehicles and pedestrians with new efficient adaBoost features , 2008 .
[54] Javier Díaz,et al. Low-cost sensor to detect overtaking based on optical flow , 2011, Machine Vision and Applications.
[55] Edward Jones,et al. Equidistant Fish-Eye Calibration and Rectification by Vanishing Point Extraction , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[56] Zehang Sun,et al. On-road vehicle detection: a review , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[57] Mohan M. Trivedi,et al. Integrating motion and appearance for overtaking vehicle detection , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.
[58] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[59] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[60] 庞彦伟,et al. Fisheye image vehicle identification method , 2011 .
[61] Bruno Steux,et al. Yet Even Faster (YEF) real-time object detection , 2007, Int. J. Intell. Syst. Technol. Appl..
[62] Alberto Broggi,et al. Vehicle and Guard Rail Detection Using Radar and Vision Data Fusion , 2007, IEEE Transactions on Intelligent Transportation Systems.
[63] J.-Y. Bouguet,et al. Pyramidal implementation of the lucas kanade feature tracker , 1999 .
[64] 船山 竜士,et al. Robust (robust) interest point detector and descriptor , 2007 .
[65] Christopher G. Harris,et al. A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.
[66] Klaus C. J. Dietmayer,et al. Instantaneous lateral velocity estimation of a vehicle using Doppler radar , 2013, Proceedings of the 16th International Conference on Information Fusion.
[67] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.
[68] Sanjit K. Mitra,et al. Using saddle points for subpixel feature detection in camera calibration targets , 2002, Asia-Pacific Conference on Circuits and Systems.
[69] Chin-Teng Lin,et al. Construction of Fisheye Lens Inverse Perspective Mapping Model and Its Applications of Obstacle Detection , 2010, EURASIP J. Adv. Signal Process..
[70] Jack Sklansky,et al. Finding circles by an array of accumulators , 1975, Commun. ACM.
[71] Minho Lee,et al. Autonomous Detector Using Saliency Map Model and Modified Mean-Shift Tracking for a Blind Spot Monitor in a Car , 2008, 2008 Seventh International Conference on Machine Learning and Applications.
[72] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.