المساهمون: Kulhandjian, Hovannes, State of California SB1 2017/2018, Trustees of the California State University Sponsored Programs Administration, United States. Department of Transportation. University Transportation Centers (UTC) Program, United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, San Jose State University. College of Business. Mineta Transportation Institute

مصطلحات موضوعية: Robots, Pedestrian detectors, Traffic signals, Pedestrian movement, Automatic vehicle detection and identification systems, Intelligent vehicles, Artificial intelligence

جغرافية الموضوع: United States

وصف الملف: PDF

Relation: Research Brief; University Transportation Centers Program; https://rosap.ntl.bts.gov/view/dot/75458; 2353

الاتاحة: https://rosap.ntl.bts.gov/view/dot/75458

المساهمون: Bhagavatula, VIjayakumar, Sankaranarayanan, Aswin, Shenkut, Dereje, United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, United States. Department of Transportation. University Transportation Centers (UTC) Program, Carnegie Mellon University, Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC)

المصدر: 69A3552344811

مصطلحات موضوعية: Pedestrians, Pedestrian detectors, Pedestrian safety, Perception, Communication, Algorithms, Cameras, Machine vision, Mobile communication systems, Vulnerable road users

جغرافية الموضوع: United States

وصف الملف: ZIP

Relation: University Transportation Centers Program; https://rosap.ntl.bts.gov/view/dot/77542

الاتاحة: https://rosap.ntl.bts.gov/view/dot/77542

المساهمون: Kulhandjian, Hovannes, State of California SB1 2017/2018, Trustees of the California State University Sponsored Programs Administration, United States. Department of Transportation. University Transportation Centers (UTC) Program, United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, San Jose State University. College of Business. Mineta Transportation Institute

المصدر: ZSB12017-SJAUX

مصطلحات موضوعية: Robots, Pedestrian detectors, Traffic signals, Pedestrian movement, Automatic vehicle detection and identification systems, Intelligent vehicles, Artificial intelligence, Smart robot, Pedestrian detection, Smart traffic light, Safe road crossing, Vehicle detection

جغرافية الموضوع: United States

وصف الملف: PDF

Relation: University Transportation Centers Program; https://doi.org/10.31979/mti.2024.2353; https://rosap.ntl.bts.gov/view/dot/75439

الاتاحة: https://doi.org/10.31979/mti.2024.2353
https://rosap.ntl.bts.gov/view/dot/75439

المؤلفون: Yunfan Chen, Han Xie, Hyunchul Shin

المصدر: IET Computer Vision, Vol 12, Iss 8, Pp 1179-1187 (2018)

مصطلحات موضوعية: multilayer fusion techniques, CNN, multispectral pedestrian detection, multilayer fused convolution neural network, pedestrian detectors, adverse illumination circumstances, Computer applications to medicine. Medical informatics, R858-859.7, Computer software, QA76.75-76.765

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1751-9632; https://doaj.org/toc/1751-9640

URL الوصول: https://doaj.org/article/9f1ff332bc21473ab9d07817d9dcad24

المؤلفون: Ragland, David R., PhD, O’Connor, Terri

مصطلحات موضوعية: Partners for Advanced Transit and Highways California, Pedestrians, Pedestrian Detectors, Risk Analysis, Safety, Traffic Accidents, Traffic Signals, Traffic Signs

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/69d479tn

المساهمون: Chakraborty, Subhadeep, Khattak, Asad, Nordback, Krista, Sanyal, Jibonananda, United States. Department of Transportation. University Transportation Centers (UTC) Program, United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, United States. Department of Transportation. Federal Highway Administration, University of Tennessee, Knoxville. Center for Transportation Research, University of North Carolina at Chapel Hill, Collaborative Sciences Center for Road Safety

المصدر: 69A3551747113

مصطلحات موضوعية: Intersections, Crashes, Drivers, Pedestrians, Artificial intelligence, Nighttime crashes, Driving behavior, Traffic signals, Fatalities, Machine learning, Traffic signal control systems, Behavior, Optimization, Pedestrian detectors, Pedestrian vehicle interface, Traffic safety, Human factors, Highways, Intersection crashes, driver-pedestrian edge cases

جغرافية الموضوع: United States

وصف الملف: ZIP

Relation: University Transportation Centers Program; https://doi.org/10.15139/S3/C6DHKY; https://rosap.ntl.bts.gov/view/dot/77567

الاتاحة: https://doi.org/10.15139/S3/C6DHKY
https://rosap.ntl.bts.gov/view/dot/77567

Additional Titles: Project title: Development of the WALKSAFE pedestrian safety testbed in College Station

الموضوعات: Pedestrians Safety measures. Texas College Station, Detectors., Piétons Sécurité Mesures. Texas College Station, Detectors., Pedestrians Safety measures., pedestrian detectors., Texas College Station.

URL: http://worldcat.org/oclc/191674954/viewonline
http://swutc.tamu.edu/publications/technicalreports/167762-1.pdf

المؤلفون: Cao, Xian-Bin, Qiao, Hong, Keane, John

المصدر: World Transit Research

مصطلحات موضوعية: RTI, Road transport informatics, Pedestrians, Pedestrian safety, Pedestrian detectors, IVHS, ITS (Intelligent transportation systems), Intelligent vehicle highway systems, Intelligent transportation systems, Experiments, Experimentation, Design of experiments, Computer vision, ATT, Algorithms, Advanced transport telematics, infrastructure - vehicle, planning - safety/accidents, technology - intelligent transport systems, mode - pedestrian

Relation: https://www.worldtransitresearch.info/research/2446; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4391026

الاتاحة: https://www.worldtransitresearch.info/research/2446
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4391026

المؤلفون: Nanni, Loris, Lumini, Alessandra

المصدر: World Transit Research

مصطلحات موضوعية: Visual texture recognition, Texture analysis (Computer vision), Statistical methods, Statistical analysis, Simulation, Pedestrian detectors, Mathematical statistics, Image interpretation, Image analysis, Computer simulation, planning - methods, mode - pedestrian

Relation: https://www.worldtransitresearch.info/research/2443; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4515883

الاتاحة: https://www.worldtransitresearch.info/research/2443
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4515883

المؤلفون: Apon, Amy, Chowdhury, Mashrur (Ronnie), Comert, Gurcan, Clemson University, Benedict College

المساهمون: United States. Department of Transportation. University Transportation Centers (UTC) Program, United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

مصطلحات موضوعية: Cameras, Connected vehicles, Data analysis, Data collection, Machine learning, Messages (Communications), Pedestrian detectors, Pedestrian safety, Pedestrians, Signalized intersections

جغرافية الموضوع: United States

وصف الملف: PDF

Relation: https://rosap.ntl.bts.gov/view/dot/72433

الاتاحة: https://rosap.ntl.bts.gov/view/dot/72433

المؤلفون: Kloos, William C

المصدر: World Transit Research

مصطلحات موضوعية: Traffic signals, Traffic signal priority systems, Traffic signal preemption, Traffic signal phases, Traffic signal hardware, Traffic signal cycle, Traffic safety, Traffic lights, Traffic control signals, Signalized intersections, Signalised intersections, Preemption (Traffic signals), Portland (Oregon), Pedestrian traffic, Pedestrian detectors, Pedestrian control signals, Pedestrian actuated controllers, Loops (Control systems), Light rail transit, Intracity bus transportation, Intermodal transportation, Intermodal systems, Highway traffic signals, Electronic traffic devices, Cycling paths, Cycle tracks, Cycle (Traffic signals), Control loops, Case studies, Bus transit

Relation: https://www.worldtransitresearch.info/research/1487

الاتاحة: https://www.worldtransitresearch.info/research/1487

المؤلفون: SRF Consulting Group

مصطلحات موضوعية: Sensors, Bicycles, Pedestrian detectors, ITS program technologies, Field tests, Bicycle detectors, Minnesota, Non-Intrusive Technologies for Traffic Detection (NIT Project)

جغرافية الموضوع: Minnesota

وصف الملف: PDF

Relation: https://rosap.ntl.bts.gov/view/dot/15800

الاتاحة: https://rosap.ntl.bts.gov/view/dot/15800

المؤلفون: 沈晉安, Shen, Chin-An

المساهمون: 淡江大學機械與機電工程學系碩士班, 王銀添

مصطلحات موضوعية: 同時定位建圖與移動物體追蹤, 物件模型, 行人偵測器, 視覺式移動物體追蹤, Visual simultaneous localization and mapping (vSLAM), Object model, Pedestrian detectors, Visual moving object tracking

وصف الملف: 144 bytes; text/html

Relation: [1] M.W.M.G. Dissanayake, P. Newman, S. Clark, H. Durrant-Whyte, and M. Csorba, “A Solution to the Simultaneous Localization and Map Building (SLAM) Problem,” IEEE Transactions on Robotics and Automation, vol.17, no. 3, pp. 229–241, 2001. [2] S. Se, D.G. Lowe, and J.J. Little, “Vision-Based Global Localization and Mapping for Mobile Robots,” IEEE Transactions on Robotics, vol.21, no.3, pp.364-375, 2005. [3] A.J. Davison, I.D. Reid, N.D. Molton, and O. Stasse, “MonoSLAM Real Time Single Camera SLAM,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, no.6, pp.1052-1067, 2007. [4] L.M. Paz, P. Pinies, J.D. Tardos, and J. Neira, “Large-Scale 6-DOF SLAM with Stereo-in-Hand,” IEEE Transactions on Robotics, vol.24, no.5, pp.946-957, 2008. [5] Z. Wang, S. Huang, and G. Dissanayake, Simultaneous Localization and Mapping: World Scientific Publishing Co., 2011. [6] M. Montemerlo, FastSLAM: a factored solution to the simultaneous localization and mapping problem with unknown data association, Ph.D. dissertation, Carnegie Mellon University, Pittsburgh, PA, 2003. [7] S.J. Davey, “Simultaneous Localization and Map Building Using the Probabilistic Multi-Hypothesis Tracker,” IEEE Transactions on Robotics, vol.23, no.2, pp.271-280, 2007. [8] R. Sim, P. Elinas and J.J. Little, “A Study of the Rao-Blackwellised Particle Filter for Efficient and Accurate Vision-Based SLAM,” International Journal of Computer Vision, vol.74, no.3, pp.303-318, 2007. [9] OpenSLAM, website:http://openslam.org/ (accessed 12/10/2014) [10] D. Nister, O. Naroditsky, and J. Bergen, "Visual odometry," in Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, 2004, pp. I-652-I-659 Vol.1. [11] D. Nistér, O. Naroditsky, and J. Bergen, "Visual odometry for ground vehicle applications," Journal of Field Robotics, vol. 23, pp. 3-20, 2006. [12] D. Scaramuzza and F. Fraundorfer, "Visual Odometry [Tutorial]," Robotics & Automation Magazine, IEEE, vol. 18, pp. 80-92, 2011. [13] F. Fraundorfer and D. Scaramuzza, "Visual odometry: Part II: Matching, robustness, optimization, and applications," Robotics & Automation Magazine, IEEE, vol. 19, pp. 78-90, 2012. [14] J. Sola, Towards visual localization, mapping and moving objects tracking by a mobile robot: a geometric and probabilistic approach, Ph.D. dissertation, Institut National Polytechnique de Toulouse, 2007. [15] S. Wangsiripitak, and D.W Murray, “Avoiding moving outliers in visual SLAM by tracking moving objects,” Proceedings of IEEE International Conference on Robotics and Automation, 2009. [16] D. Migliore, R. Rigamonti, D. Marzorati, M. Matteucci, D.G. Sorrenti, “Use a Single Camera for Simultaneous Localization And Mapping with Mobile Object Tracking in dynamic environments,” Proceedings of IEEE International Conference on Robotics and Automation, 2009. [17] C.H. Hsiao, and C.C. Wang, "Achieving Undelayed Initialization in Monocular SLAM with Generalized Objects Using Velocity Estimate-based Classification," Proceedings of IEEE International Conference on Robotics and Automation, 2011. [18] Y.-T. Wang, C.-H. Sun, and M.-J. Chiou, "Detection of moving objects in image plane for robot navigation using monocular vision," EURASIP Journal on Advances in Signal Processing, vol. 2012, p. 29, 2012. [19] W. Choi, C. Pantofaru, and S. Savarese, "A General Framework for Tracking Multiple People from a Moving Camera," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, pp. 1577-1591, 2013. [20] N. Dalal and B. Triggs, “Histograms of Oriented Gradients for Human Detection,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2005. [21] V. Ferrari, M. Marin-Jimenez, and A. Zisserman, “Progressive Search Space Reduction for Human Pose Estimation,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2008. [22] P. Viola and M. Jones, “Robust Real-Time Face Detection,” Int’l J. Computer Vision, vol. 57, no. 2, pp. 137-154, 2003. [23] M. Jones and J. Rehg, “Statistical Color Models with Application to Skin Detection,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1999. [24] B. Leibe, A. Leonardis, and B. Schiele, "Robust Object Detection with Interleaved Categorization and Segmentation," International Journal of Computer Vision, vol.77, no.1-3, pp. 259-289, 2008. [25] B. Leibe, K. Schindler, N. Cornelis, and L. van Gool, "Coupled Detection and Tracking from Static Cameras and Moving Vehicles," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 10, pp. 1683-1698, 2008. [26] A. Ess, B. Leibe, K. Schindler, and L. van Gool, "Robust Multiperson Tracking from a Mobile Platform," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.31, no.10, pp.1831-1846, 2009. [27] M.D. Breitenstein, F. Reichlin, B. Leibe, E. Koller-Meier, and L. Van Gool, "Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no.9, pp.1820-1833, 2011. [28] 陳國瑋，使用線上稀疏呈現的物件模型進行機器人並行追蹤與建圖，淡江大學機械與機電工程學系碩士論文，2012。 [29] R. Smith, M. Self, and P. Cheeseman, "Estimating Uncertain Spatial Relationships in Robotics," in Autonomous Robot Vehicles, I.J. Cox and G.T. Wilfong, Eds., Springer-Verlog, pp.167-193, 1990. [30] H. Durrant-Whyte and T. Bailey, 2006, Simultaneous Localization and Mapping: Part 1, IEEE Robotics and Automation Magazine. [31] T. Bailey and H. Durrant-Whyte, 2006, Simultaneous Localization and Mapping: Part 2, IEEE Robotics and Automation Magazine. [32] K. Konolige and M. Agrawal, "FrameSLAM: From bundle adjustment to real-time visual mapping," IEEE Transactions on Robotics, vol. 24, pp. 1066-1077, 2008. [33] B. Triggs, P. McLauchlan, R. Hartley, and A. Fitzgibbon, "Bundle Adjustment — A Modern Synthesis," in Vision Algorithms: Theory and Practice. vol. 1883, B. Triggs, A. Zisserman, and R. Szeliski, Eds., ed: Springer Berlin Heidelberg, 2000, pp. 298-372. [34] Y.-T. Wang, C.-T. Chi, and S.-K. Hung, "Robot Visual SLAM in Dynamic Environments," Advanced Science Letters, vol. 8, pp. 229-234, 2012. [35] D.H. Ballard, “Generalizing the hough transform to detect arbitrary shapes,” Pattern Recognition, vol.13, no.2, pp.111-122, 1981. [36] S. Gillijns and B. De Moor, "Unbiased minimum-variance input and state estimation for linear discrete-time systems," Automatica, vol.43, pp.111–116, 2007. [37] H. Blom and Y. Bar-Shalom, "The interacting multiple-model algorithm for systems with Markovian switching coefficients," IEEE Transactions on Automatic Control, vol.33, pp.780-783, 1988. [38] H. Bay, A. Ess, T. Tuytelaars and L. Van Gool, “SURF: Speeded-Up Robust Features”, Computer Vision and Image Understanding, vol.110, pp.346-359, 2008. [39] C.C. Wang, C. Thorpe, S. Thrun, M. Hebert, and H. Durrant-Whyte, “Simultaneous Localization, Mapping and Moving Object Tracking,” The International Journal of Robotics Research, vol. 26, no. 09, pp. 889-916, 2007. [40] M.S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking, IEEE Transaction on Signal Processing, vol.50, no.2, pp.174-188, 2002. [41] S. Hutchinson, G.D. Hager, & P.I. Corke, "A Tutorial on Visual Servo Control," IEEE Transactions on Robotics and Automation, vol.12, no.5, pp.651-670, 1996. [42] 馮盈捷，使用尺度與方向不變特徵建立機器人視覺式SLAM知稀疏與續存性地圖，淡江大學機械與機電工程學系碩士論文，2011。 [43] 林冠瑜，"使用低階攝影機實現機器人視覺式SLAM"，淡江大學機械與機電工程學系碩士論文，2012。 [44] G. Shakhnarovich, T. Darrell and P. Indyk, Nearest-neighbor methods in learning and vision, The MIT Press, 2005. [45] 洪敦彥，基於擴張型卡爾曼過濾器的機器人視覺式同時定位、建圖、與移動物體追蹤，淡江大學機械與機電工程學系碩士論文，2010。 [46] J. MacQueen, “Some Methods for Classification and Analysis of Multivariate Observations”, in Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, pp. 281-297, 1967. [47] D.G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, 60, 2, pp. 91-110, 2004.; U0002-1008201513435100; http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/105759; http://tkuir.lib.tku.edu.tw:8080/dspace/bitstream/987654321/105759/1/index.html

الاتاحة: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/105759
http://tkuir.lib.tku.edu.tw:8080/dspace/bitstream/987654321/105759/1/index.html

المؤلفون: Kothuri, Sirisha, Singleton, Patrick A., Saheli, Mahyar Vahedi, Yates, Elizabeth, Broach, Joseph, Portland State University, Utah State University

المساهمون: Oregon. Dept. of Transportation. Research Section, United States. Department of Transportation. Federal Highway Administration

مصطلحات موضوعية: Data collection, Pedestrian counts, Pedestrian detectors, Traffic signal controllers, Traffic signals, Actuated traffic signal controllers

جغرافية الموضوع: Oregon, United States

وصف الملف: PDF

Relation: https://rosap.ntl.bts.gov/view/dot/73447

الاتاحة: https://rosap.ntl.bts.gov/view/dot/73447

المؤلفون: Li, Taylor, Kothuri, Sirisha, Yang, Xianfeng (Terry), University of Texas at Arlington, Portland State University, University of Utah, National Institute for Transportation and Communities (NITC)

المساهمون: United States. Department of Transportation. University Transportation Centers (UTC) Program, United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

مصطلحات موضوعية: Behavior, Pedestrian detectors, Pedestrian movement, Pedestrian safety, Pedestrians, Sensors, Signalized intersections, Traffic signal control systems, Safety, Laser radar, LIDAR sensors

جغرافية الموضوع: United States, Texas

وصف الملف: PDF

Relation: https://rosap.ntl.bts.gov/view/dot/66788

الاتاحة: https://rosap.ntl.bts.gov/view/dot/66788

المؤلفون: Kulhandjian, Hovannes, Mineta Transportation Institute, San Jose State University. College of Business

المساهمون: State of California SB1 2017/2018, Trustees of the California State University Sponsored Programs Administration, California State University Transportation Consortium (CSUTC), United States. Department of Transportation. University Transportation Centers (UTC) Program, United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

مصطلحات موضوعية: Intelligent transportation systems, Pedestrian detectors, Machine learning, Driver support systems, Radar, Video cameras, Pedestrian detection, Applied machine learning, Accident prevention, Advanced driver assistance systems (ADAS)

جغرافية الموضوع: California, United States

وصف الملف: PDF

Relation: https://rosap.ntl.bts.gov/view/dot/65596

الاتاحة: https://rosap.ntl.bts.gov/view/dot/65596

المؤلفون: Huynh, Nathan, Mullen, Robert, Rose, John M., Eloise, Quentin, University of South Carolina. Dept. of Civil & Environmental Engineering

المساهمون: South Carolina. Dept. of Transportation. Office of Materials and Research, United States. Department of Transportation. Federal Highway Administration

مصطلحات موضوعية: Image analysis, Image processing, Motorcycles, Pedestrian detectors, Vehicle characteristics, Vehicle classification, Video imaging detectors, Thermal imagery, Video-based traffic data collection, convolutional neural network

جغرافية الموضوع: South Carolina, United States

وصف الملف: PDF

Relation: https://rosap.ntl.bts.gov/view/dot/65809

الاتاحة: https://rosap.ntl.bts.gov/view/dot/65809

المؤلفون: Gao, Jingqin, Ozbay, Kaan, Xu, Chuan, Zhang, Daniel, Zuo, Fan, Yang, Liu, Hammami, Omar, New York University. Tandon School of Engineering

المساهمون: Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), United States. Department of Transportation. University Transportation Centers (UTC) Program, United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

مصطلحات موضوعية: Autonomous vehicles, Cameras, Computer vision, Connected vehicles, Cost effectiveness, Data collection, Intelligent transportation systems, Pedestrian detectors, Probe vehicles, Sensors, Traffic surveillance, Literature reviews

جغرافية الموضوع: New York, United States

وصف الملف: PDF

Relation: https://rosap.ntl.bts.gov/view/dot/72520

الاتاحة: https://rosap.ntl.bts.gov/view/dot/72520

المؤلفون: Gao, Jingqin, Xu, Chuan, Zhang, Daniel, Zuo, Fan, Yang, Liu, Hammami, Omar, Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), New York University. Tandon School of Engineering

المساهمون: United States. Department of Transportation. Federal Highway Administration, United States. Department of Transportation. University Transportation Centers (UTC) Program, United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

مصطلحات موضوعية: Autonomous vehicles, Cameras, Computer vision, Connected vehicles, Cost effectiveness, Data collection, Intelligent transportation systems, Pedestrian detectors, Probe vehicles, Sensors, Traffic surveillance, Literature reviews

جغرافية الموضوع: New York, United States

وصف الملف: PDF

Relation: https://rosap.ntl.bts.gov/view/dot/72518

الاتاحة: https://rosap.ntl.bts.gov/view/dot/72518

المصدر: ZSB12017-SJAUX

مصطلحات الفهرس: Robots, Pedestrian detectors, Traffic signals, Pedestrian movement, Automatic vehicle detection and identification systems, Intelligent vehicles, Artificial intelligence, Smart robot, Pedestrian detection, Smart traffic light, Safe road crossing, Vehicle detection, Tech Report