Road object detection for HD map: Full-element survey, analysis and perspectives
暂无分享,去创建一个
[1] YaoHua Mo. Improved Traffic Sign Recognition Algorithm Based on Yolo V3 Algorithm , 2023, SSRN Electronic Journal.
[2] Jonathan Li,et al. Rapid Extraction of Urban Road Guardrails From Mobile LiDAR Point Clouds , 2022, IEEE Transactions on Intelligent Transportation Systems.
[3] Myeong-Hun Jeong,et al. Object Detection of Road Facilities Using YOLOv3 for High-definition Map Updates , 2022, Sensors and Materials.
[4] Zhen Dong,et al. A two-stage approach for road marking extraction and modeling using MLS point clouds , 2021 .
[5] Alireza Shams,et al. Automated street tree inventory using mobile LiDAR point clouds based on Hough transform and active contours , 2021 .
[6] Liu He,et al. Part-Based Modeling of Pole-Like Objects Using Divergence-Incorporated 3-D Clustering of Mobile Laser Scanning Point Clouds , 2021, IEEE Transactions on Geoscience and Remote Sensing.
[7] Fei Liu,et al. Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[8] Mohammed Bennamoun,et al. Deep Learning for 3D Point Clouds: A Survey , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Xiaogang Wang,et al. From Points to Parts: 3D Object Detection From Point Cloud With Part-Aware and Part-Aggregation Network , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Zhenfeng Shao,et al. MRENet: Simultaneous Extraction of Road Surface and Road Centerline in Complex Urban Scenes from Very High-Resolution Images , 2021, Remote. Sens..
[11] Cheng Wang,et al. Reconstruction Bias U-Net for Road Extraction From Optical Remote Sensing Images , 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[12] Wei Huang,et al. Traffic Sign Detection and Recognition Using Multi-Scale Fusion and Prime Sample Attention , 2021, IEEE Access.
[13] Li Li,et al. Extraction of Street Pole-Like Objects Based on Plane Filtering From Mobile LiDAR Data , 2021, IEEE Trans. Geosci. Remote. Sens..
[14] Chih-Ming Hsu,et al. Improving vehicle localization using pole-like landmarks extracted from 3-D lidar scans , 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).
[15] Jindi Wang,et al. BT-RoadNet: A boundary and topologically-aware neural network for road extraction from high-resolution remote sensing imagery , 2020 .
[16] Wanli Ouyang,et al. Rethinking Pseudo-LiDAR Representation , 2020, ECCV.
[17] Jun Wang,et al. Detecting Trees in Street Images via Deep Learning With Attention Module , 2020, IEEE Transactions on Instrumentation and Measurement.
[18] Kai Zhang,et al. Simultaneous Road Surface and Centerline Extraction From Large-Scale Remote Sensing Images Using CNN-Based Segmentation and Tracing , 2020, IEEE Transactions on Geoscience and Remote Sensing.
[19] Han Jiang,et al. Semi-Automated Generation of Road Transition Lines Using Mobile Laser Scanning Data , 2020, IEEE Transactions on Intelligent Transportation Systems.
[20] Xinming Huang,et al. Automatic Building and Labeling of HD Maps with Deep Learning , 2020, AAAI.
[21] H. Rastiveis,et al. Automated extraction of lane markings from mobile LiDAR point clouds based on fuzzy inference , 2020 .
[22] Jiaya Jia,et al. DSGN: Deep Stereo Geometry Network for 3D Object Detection , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] A. Yuille,et al. Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots , 2019, ECCV.
[24] Duc Thanh Nguyen,et al. LCD: Learned Cross-Domain Descriptors for 2D-3D Matching , 2019, AAAI.
[25] Augusto Luis Ballardini,et al. Global visual localization in LiDAR-maps through shared 2D-3D embedding space , 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).
[26] Danijel Skocaj,et al. Deep Learning for Large-Scale Traffic-Sign Detection and Recognition , 2019, IEEE Transactions on Intelligent Transportation Systems.
[27] Ross B. Girshick,et al. Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Davor Sluga,et al. Neural-Network-Based Traffic Sign Detection and Recognition in High-Definition Images Using Region Focusing and Parallelization , 2020, IEEE Access.
[29] Liman Liu,et al. Focus First: Coarse-to-Fine Traffic Sign Detection With Stepwise Learning , 2020, IEEE Access.
[30] Xin Xu,et al. Automatic road-marking detection and measurement from laser-scanning 3D profile data , 2019 .
[31] Jie Yang,et al. Multi-Scale and Multi-Task Deep Learning Framework for Automatic Road Extraction , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[32] Jiaya Jia,et al. Fast Point R-CNN , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[33] Haifeng Li,et al. Spatial Information Inference Net: Road Extraction Using Road-Specific Contextual Information , 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.
[34] Cheng Wang,et al. Joint 2-D–3-D Traffic Sign Landmark Data Set for Geo-Localization Using Mobile Laser Scanning Data , 2019, IEEE Transactions on Intelligent Transportation Systems.
[35] Hiroshi Masuda,et al. EXTRACTION AND SHAPE RECONSTRUCTION OF GUARDRAILS USING MOBILE MAPPING DATA , 2019, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
[36] Bin Yang,et al. Multi-Task Multi-Sensor Fusion for 3D Object Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Juntao Yang,et al. A Skeleton-Based Hierarchical Method for Detecting 3-D Pole-Like Objects From Mobile LiDAR Point Clouds , 2019, IEEE Geoscience and Remote Sensing Letters.
[38] Xiang Li,et al. Topology-Aware Road Network Extraction via Multi-Supervised Generative Adversarial Networks , 2019, Remote. Sens..
[39] Jake Charland,et al. Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[40] Marcelo H. Ang,et al. 2D3D-Matchnet: Learning To Match Keypoints Across 2D Image And 3D Point Cloud , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[41] Xiao Han,et al. Aerial Image Road Extraction Based on an Improved Generative Adversarial Network , 2019, Remote. Sens..
[42] Jian Yao,et al. RoadNet: Learning to Comprehensively Analyze Road Networks in Complex Urban Scenes From High-Resolution Remotely Sensed Images , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[43] Carlos Vallespi-Gonzalez,et al. LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Yang Chen,et al. Road Extraction from High-Resolution Remote Sensing Imagery Using Refined Deep Residual Convolutional Neural Network , 2019, Remote. Sens..
[45] Xin Zhao,et al. 3D Object Detection Using Scale Invariant and Feature Reweighting Networks , 2019, AAAI.
[46] Wenzhong Shi,et al. Use of colour transformation and the geodesic method for road centreline extraction from VHR satellite images , 2019, International Journal of Remote Sensing.
[47] Cheng Wang,et al. A deep learning framework for road marking extraction, classification and completion from mobile laser scanning point clouds , 2019, ISPRS Journal of Photogrammetry and Remote Sensing.
[48] Faliang Chang,et al. Machine Vision Based Traffic Sign Detection Methods: Review, Analyses and Perspectives , 2019, IEEE Access.
[49] Yassine Ruichek,et al. Classification of Traffic Signs: The European Dataset , 2018, IEEE Access.
[50] Zhenwei Shi,et al. Voxel-Based Extraction and Classification of 3-D Pole-Like Objects From Mobile LiDAR Point Cloud Data , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[51] Bo Li,et al. SECOND: Sparsely Embedded Convolutional Detection , 2018, Sensors.
[52] Bin Yang,et al. Deep Continuous Fusion for Multi-sensor 3D Object Detection , 2018, ECCV.
[53] Qing Zhu,et al. Road Extraction from VHR Remote-Sensing Imagery via Object Segmentation Constrained by Gabor Features , 2018, ISPRS Int. J. Geo Inf..
[54] Wei Liang,et al. Hierarchical extraction of pole-like objects from scene point clouds , 2018, Optical Engineering.
[55] Guangyu Gao,et al. Real-time small traffic sign detection with revised faster-RCNN , 2018, Multimedia Tools and Applications.
[56] Jiao Jiao,et al. An End-to-End Neural Network for Road Extraction From Remote Sensing Imagery by Multiple Feature Pyramid Network , 2018, IEEE Access.
[57] Jing Ye,et al. RT3D: Real-Time 3-D Vehicle Detection in LiDAR Point Cloud for Autonomous Driving , 2018, IEEE Robotics and Automation Letters.
[58] Ning Ye,et al. Automatic extraction of street trees' nonphotosynthetic components from MLS data , 2018, Int. J. Appl. Earth Obs. Geoinformation.
[59] Zhiyong Lv,et al. Method Based on Edge Constraint and Fast Marching for Road Centerline Extraction from Very High-Resolution Remote Sensing Images , 2018, Remote. Sens..
[60] Bin Yang,et al. Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[61] R. C. Vaishya,et al. A Moving Window Search Method for Detection of Pole Like Objects Using Mobile Laser Scanner Data , 2018 .
[62] George Vosselman,et al. Pole-Like Road Furniture Detection and Decomposition in Mobile Laser Scanning Data Based on Spatial Relations , 2018, Remote. Sens..
[63] Ning Ye,et al. A supervoxel approach to the segmentation of individual trees from LiDAR point clouds , 2018 .
[64] Raquel Frizera Vassallo,et al. Self-Localization Based on Visual Lane Marking Maps: An Accurate Low-Cost Approach for Autonomous Driving , 2018, IEEE Transactions on Intelligent Transportation Systems.
[65] Xiaogang Wang,et al. Spatial As Deep: Spatial CNN for Traffic Scene Understanding , 2017, AAAI.
[66] Steven Lake Waslander,et al. Joint 3D Proposal Generation and Object Detection from View Aggregation , 2017, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[67] Qingjie Liu,et al. Road Extraction by Deep Residual U-Net , 2017, IEEE Geoscience and Remote Sensing Letters.
[68] Hiroshi Masuda,et al. SHAPE RECONSTRUCTION OF POLES AND PLATES FROM VEHICLE-BASED LASER SCANNING DATA , 2018 .
[69] Hua Liu,et al. Detection and classification of pole-like road objects from mobile LiDAR data in motorway environment , 2017 .
[70] Enoc Sanz-Ablanedo,et al. Automatic Detection and Classification of Pole-Like Objects for Urban Cartography Using Mobile Laser Scanning Data , 2017, Sensors.
[71] Yang Yang Ye,et al. Lane marking detection based on waveform analysis and CNN , 2017, International Workshop on Pattern Recognition.
[72] Yonghong Jia,et al. An Adaptive Multifeature Sparsity-Based Model for Semiautomatic Road Extraction From High-Resolution Satellite Images in Urban Areas , 2017, IEEE Geoscience and Remote Sensing Letters.
[73] Cheng-Lin Liu,et al. Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test , 2017, IEEE Transactions on Intelligent Transportation Systems.
[74] Prashanth Reddy Marpu,et al. Hierarchical graph-based segmentation for extracting road networks from high-resolution satellite images , 2017 .
[75] Michael Weinmann,et al. A Classification-Segmentation Framework for the Detection of Individual Trees in Dense MMS Point Cloud Data Acquired in Urban Areas , 2017, Remote. Sens..
[76] Shiming Xiang,et al. Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[77] Minho Lee,et al. Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection , 2017, Neural Networks.
[78] Xiaoqiang Lu,et al. Remote Sensing Image Scene Classification: Benchmark and State of the Art , 2017, Proceedings of the IEEE.
[79] Yanming Chen,et al. Segmentation of Individual Trees From TLS and MLS Data , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[80] Yiping Chen,et al. Traffic Sign Occlusion Detection Using Mobile Laser Scanning Point Clouds , 2017, IEEE Transactions on Intelligent Transportation Systems.
[81] Bo Li,et al. 3D fully convolutional network for vehicle detection in point cloud , 2016, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[82] Ji Wan,et al. Multi-view 3D Object Detection Network for Autonomous Driving , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[83] Dushyant Rao,et al. Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[84] Ajai Kumar Singh,et al. Identification of pole-like structures from mobile lidar data of complex road environment , 2016 .
[85] Lin Li,et al. A dual growing method for the automatic extraction of individual trees from mobile laser scanning data , 2016 .
[86] Jun Zhang,et al. A robust approach for tree segmentation in deciduous forests using small-footprint airborne LiDAR data , 2016, Int. J. Appl. Earth Obs. Geoinformation.
[87] Mohamed El Ansari,et al. Traffic sign detection and recognition based on random forests , 2016, Appl. Soft Comput..
[88] S. J. Oude Elberink,et al. POLE-LIKE STREET FURNITURE DECOMPOSTION IN MOBILE LASER SCANNING DATA , 2016 .
[89] Cuneyt Akinlar,et al. On circular traffic sign detection and recognition , 2016, Expert Syst. Appl..
[90] Ahmed Shaker,et al. Automatic extraction of highway light poles and towers from mobile LiDAR data , 2016 .
[91] Cheng Wang,et al. Bag-of-visual-phrases and hierarchical deep models for traffic sign detection and recognition in mobile laser scanning data , 2016 .
[92] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[93] Fatih Murat Porikli,et al. Fast Detection of Multiple Objects in Traffic Scenes With a Common Detection Framework , 2015, IEEE Transactions on Intelligent Transportation Systems.
[94] Ying Wang,et al. Accurate urban road centerline extraction from VHR imagery via multiscale segmentation and tensor voting , 2015, Neurocomputing.
[95] Faliang Chang,et al. Fast Traffic Sign Recognition via High-Contrast Region Extraction and Extended Sparse Representation , 2016, IEEE Transactions on Intelligent Transportation Systems.
[96] Chenglu Wen,et al. Spatial-Related Traffic Sign Inspection for Inventory Purposes Using Mobile Laser Scanning Data , 2016, IEEE Transactions on Intelligent Transportation Systems.
[97] Lijuan Liu,et al. A novel traffic sign detection method via color segmentation and robust shape matching , 2015, Neurocomputing.
[98] Peng Li,et al. Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories , 2015 .
[99] Bok-Suk Shin,et al. A superparticle filter for lane detection , 2015, Pattern Recognit..
[100] B. Žalik,et al. An efficient approach to 3D single tree-crown delineation in LiDAR data , 2015 .
[101] María Concepcion Alonso,et al. Automatic Detection and Classification of Pole-Like Objects in Urban Point Cloud Data Using an Anomaly Detection Algorithm , 2015, Remote. Sens..
[102] Pavel Y. Yakimov,et al. Traffic Signs Detection Using Tracking with Prediction , 2015, ICETE.
[103] Vladimir Fursov,et al. Traffic Signs Detection and tracking using modified Hough transform , 2015, 2015 12th International Joint Conference on e-Business and Telecommunications (ICETE).
[104] 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.
[105] Andreas Møgelmose,et al. Detection of U.S. Traffic Signs , 2015, IEEE Transactions on Intelligent Transportation Systems.
[106] Michela Bertolotto,et al. Octree-based region growing for point cloud segmentation , 2015 .
[107] Jun Wang,et al. Road network extraction: a neural-dynamic framework based on deep learning and a finite state machine , 2015 .
[108] Xiaoli Hao,et al. Traffic Sign Detection via Graph-Based Ranking and Segmentation Algorithms , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[109] Bruno Vallet,et al. TerraMobilita/iQmulus urban point cloud analysis benchmark , 2015, Comput. Graph..
[110] Majid Mirmehdi,et al. Recognizing Text-Based Traffic Signs , 2015, IEEE Transactions on Intelligent Transportation Systems.
[111] Guowei Yue,et al. A Method for Extracting Street Trees from Mobile LiDAR Point Clouds , 2015 .
[112] Federico Tombari,et al. Traffic sign detection via interest region extraction , 2015, Pattern Recognit..
[113] Cheng Wang,et al. Using Mobile LiDAR Data for Rapidly Updating Road Markings , 2015, IEEE Transactions on Intelligent Transportation Systems.
[114] Jun Yu,et al. Semiautomated Extraction of Street Light Poles From Mobile LiDAR Point-Clouds , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[115] Jonathan Li,et al. Learning Hierarchical Features for Automated Extraction of Road Markings From 3-D Mobile LiDAR Point Clouds , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[116] Jiwen Lu,et al. PCANet: A Simple Deep Learning Baseline for Image Classification? , 2014, IEEE Transactions on Image Processing.
[117] Bisheng Yang,et al. Hierarchical extraction of urban objects from mobile laser scanning data , 2015 .
[118] Sylvie Durrieu,et al. PTrees: A point-based approach to forest tree extraction from lidar data , 2014, Int. J. Appl. Earth Obs. Geoinformation.
[119] Pankaj Kumar,et al. Automated road markings extraction from mobile laser scanning data , 2014, Int. J. Appl. Earth Obs. Geoinformation.
[120] Ying Wang,et al. Urban road extraction via graph cuts based probability propagation , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[121] Pietro Perona,et al. Fast Feature Pyramids for Object Detection , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[122] Christophe Cudel,et al. Multi-ROI Association and Tracking With Belief Functions: Application to Traffic Sign Recognition , 2014, IEEE Transactions on Intelligent Transportation Systems.
[123] Faliang Chang,et al. Rapid Multiclass Traffic Sign Detection in High-Resolution Images , 2014, IEEE Transactions on Intelligent Transportation Systems.
[124] Xiaoli Hao,et al. Robust Traffic Sign Recognition Based on Color Global and Local Oriented Edge Magnitude Patterns , 2014, IEEE Transactions on Intelligent Transportation Systems.
[125] N. David,et al. Stereopolis II: A multi-purpose and multi-sensor 3D mobile mapping system for street visualisation and 3D metrology , 2014 .
[126] Wenzhong Shi,et al. A Semi-Automatic Method for Road Centerline Extraction From VHR Images , 2014, IEEE Geoscience and Remote Sensing Letters.
[127] Jesmin F. Khan,et al. Hierarchical clustering of EMD based interest points for road sign detection , 2014 .
[128] Peng Li,et al. Object Detection in Terrestrial Laser Scanning Point Clouds Based on Hough Forest , 2014, IEEE Geoscience and Remote Sensing Letters.
[129] Qingquan Li,et al. A Sensor-Fusion Drivable-Region and Lane-Detection System for Autonomous Vehicle Navigation in Challenging Road Scenarios , 2014, IEEE Transactions on Vehicular Technology.
[130] Carlos Cabo,et al. An algorithm for automatic detection of pole-like street furniture objects from Mobile Laser Scanner point clouds , 2014 .
[131] Cheng Wang,et al. Using mobile laser scanning data for automated extraction of road markings , 2014 .
[132] Fatin Zaklouta,et al. Real-time traffic sign recognition in three stages , 2014, Robotics Auton. Syst..
[133] Guanghui Ren,et al. Hole-based traffic sign detection method for traffic signs with red rim , 2014, The Visual Computer.
[134] Emilio Frazzoli,et al. A general framework for road marking detection and analysis , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).
[135] Sibel Yenikaya,et al. Keeping the vehicle on the road: A survey on on-road lane detection systems , 2013, CSUR.
[136] Wei Su,et al. A method for extracting trees from vehicle-borne laser scanning data , 2013, Math. Comput. Model..
[137] Xiangguo Lin,et al. SVM-Based Classification of Segmented Airborne LiDAR Point Clouds in Urban Areas , 2013, Remote. Sens..
[138] Bisheng Yang,et al. A shape-based segmentation method for mobile laser scanning point clouds , 2013 .
[139] Kyung-Joong Kim,et al. Design of a visual perception model with edge-adaptive Gabor filter and support vector machine for traffic sign detection , 2013, Expert Syst. Appl..
[140] Bisheng Yang,et al. Semiautomated Building Facade Footprint Extraction From Mobile LiDAR Point Clouds , 2013, IEEE Geoscience and Remote Sensing Letters.
[141] Seung-Woo Seo,et al. Multi-lane detection in urban driving environments using conditional random fields , 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).
[142] Xiangguo Lin,et al. Semi-Automatic Extraction of Straight Roads from Very High Resolution Remotely Sensed Imagery by a Fusion Method , 2013 .
[143] Ahmad Kamal Aijazi,et al. Segmentation Based Classification of 3D Urban Point Clouds: A Super-Voxel Based Approach with Evaluation , 2013, Remote. Sens..
[144] Jianping Wu,et al. A Voxel-Based Method for Automated Identification and Morphological Parameters Estimation of Individual Street Trees from Mobile Laser Scanning Data , 2013, Remote. Sens..
[145] Uwe Stilla,et al. Potential of airborne single-pass millimeterwave InSAR data for individual tree recognition , 2013 .
[146] Majid Mirmehdi,et al. Real-Time Detection and Recognition of Road Traffic Signs , 2012, IEEE Transactions on Intelligent Transportation Systems.
[147] Johannes Stallkamp,et al. Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition , 2012, Neural Networks.
[148] Aluir Porfírio Dal Poz,et al. Object-Space Road Extraction in Rural Areas Using Stereoscopic Aerial Images , 2012, IEEE Geoscience and Remote Sensing Letters.
[149] Frédéric Bretar,et al. 3-D mapping of a multi-layered Mediterranean forest using ALS data , 2012 .
[150] Yi Lin,et al. Multiecho-Recording Mobile Laser Scanning for Enhancing Individual Tree Crown Reconstruction , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[151] Yi Lin,et al. Three-level frame and RD-schematic algorithm for automatic detection of individual trees from MLS point clouds , 2012 .
[152] Juha Hyyppä,et al. Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[153] Maggi Kelly,et al. A New Method for Segmenting Individual Trees from the Lidar Point Cloud , 2012 .
[154] Aharon Bar-Hillel,et al. Recent progress in road and lane detection: a survey , 2014, Machine Vision and Applications.
[155] F. Larsson,et al. Correlating fourier descriptors of local patches for road sign recognition , 2011 .
[156] Monson H. Hayes,et al. Polar randomized hough transform for lane detection using loose constraints of parallel lines , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[157] Sukhendu Das,et al. Use of Salient Features for the Design of a Multistage Framework to Extract Roads From High-Resolution Multispectral Satellite Images , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[158] Y. Tseng,et al. Incremental segmentation of lidar point clouds with an octree‐structured voxel space , 2011 .
[159] Se-Young Oh,et al. Illumination invariant lane color recognition by using road color reference & neural networks , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).
[160] Bahman Soheilian,et al. 3D road marking reconstruction from street-level calibrated stereo pairs , 2010 .
[161] Junqiang Xi,et al. A novel lane detection based on geometrical model and Gabor filter , 2010, 2010 IEEE Intelligent Vehicles Symposium.
[162] Jean-Emmanuel Deschaud,et al. A Fast and Accurate Plane Detection Algorithm for Large Noisy Point Clouds Using Filtered Normals and Voxel Growing , 2010 .
[163] Sahar Movaghati,et al. Road Extraction From Satellite Images Using Particle Filtering and Extended Kalman Filtering , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[164] Xiaohui Liu,et al. Real-time traffic sign recognition from video by class-specific discriminative features , 2010, Pattern Recognit..
[165] Marc Jaeger,et al. Segmentation of architecture shape information from 3D point cloud , 2009, VRCAI '09.
[166] J. Reitberger,et al. 3D segmentation of single trees exploiting full waveform LIDAR data , 2009 .
[167] Kah Phooi Seng,et al. New hybrid technique for traffic sign recognition , 2009, 2008 International Symposium on Intelligent Signal Processing and Communications Systems.
[168] Jordi Vitrià,et al. Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification , 2009, IEEE Transactions on Intelligent Transportation Systems.
[169] S. Xu,et al. Robust traffic sign shape recognition using geometric matching , 2009 .
[170] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[171] Juha Hyyppä,et al. Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping , 2008, Sensors.
[172] Mohamed Aly,et al. Real time detection of lane markers in urban streets , 2008, 2008 IEEE Intelligent Vehicles Symposium.
[173] Luke Fletcher,et al. Real-Time Speed Sign Detection Using the Radial Symmetry Detector , 2008, IEEE Transactions on Intelligent Transportation Systems.
[174] Daehie Hong,et al. A robotic system for road lane painting , 2008 .
[175] Francisco López-Ferreras,et al. Traffic sign shape classification and localization based on the normalized FFT of the signature of blobs and 2D homographies , 2008, Signal Processing.
[176] Peter Wonka,et al. Road Network Extraction and Intersection Detection From Aerial Images by Tracking Road Footprints , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[177] Andrew Zisserman,et al. Representing shape with a spatial pyramid kernel , 2007, CIVR '07.
[178] A. Broggi,et al. Real Time Road Signs Recognition , 2007, 2007 IEEE Intelligent Vehicles Symposium.
[179] Francisco López-Ferreras,et al. Road-Sign Detection and Recognition Based on Support Vector Machines , 2007, IEEE Transactions on Intelligent Transportation Systems.
[180] Jun Zhou,et al. Road tracking in aerial images based on human–computer interaction and Bayesian filtering , 2006 .
[181] 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.
[182] Kenji Shimada,et al. Surface mesh segmentation and smooth surface extraction through region growing , 2005, Comput. Aided Geom. Des..
[183] Zuxun Zhang,et al. A Robust Method for Semi-Automatic Extraction of Road Centerlines Using a Piecewise Parabolic Model and Least Square Template Matching , 2004 .
[184] Nicolai Petkov,et al. Distance sets for shape filters and shape recognition , 2003, IEEE Trans. Image Process..
[185] Sei-Wang Chen,et al. Road-sign detection and tracking , 2003, IEEE Trans. Veh. Technol..
[186] Semyung Wang,et al. A new segmentation method for point cloud data , 2002 .
[187] Luis Moreno,et al. Road traffic sign detection and classification , 1997, IEEE Trans. Ind. Electron..
[188] Ramesh C. Jain,et al. Segmentation through Variable-Order Surface Fitting , 1988, IEEE Trans. Pattern Anal. Mach. Intell..