Journal articles on the topic 'Cyclist detection'
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Wang, Kelong, and Wei Zhou. "Pedestrian and cyclist detection based on deep neural network fast R-CNN." International Journal of Advanced Robotic Systems 16, no. 2 (March 1, 2019): 172988141982965. http://dx.doi.org/10.1177/1729881419829651.
Full textShahraki, Farideh Foroozandeh, Ali Pour Yazdanpanah, Emma E. Regentova, and Venkatesan Muthukumar. "A Trajectory Based Method of Automatic Counting of Cyclist in Traffic Video Data." International Journal on Artificial Intelligence Tools 26, no. 04 (August 2017): 1750015. http://dx.doi.org/10.1142/s0218213017500154.
Full textDrory, Ami, Hongdong Li, and Richard Hartley. "Estimating the projected frontal surface area of cyclists from images using a variational framework and statistical shape and appearance models." Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology 231, no. 3 (May 10, 2017): 169–83. http://dx.doi.org/10.1177/1754337117705489.
Full textAhmed, Sarfraz, M. Nazmul Huda, Sujan Rajbhandari, Chitta Saha, Mark Elshaw, and Stratis Kanarachos. "Pedestrian and Cyclist Detection and Intent Estimation for Autonomous Vehicles: A Survey." Applied Sciences 9, no. 11 (June 6, 2019): 2335. http://dx.doi.org/10.3390/app9112335.
Full textRadová, Zuzana, and Luboš Nouzovský. "Measuring of Cyclist Impact Dynamics." Applied Mechanics and Materials 821 (January 2016): 456–63. http://dx.doi.org/10.4028/www.scientific.net/amm.821.456.
Full textEddy, Chris, Christopher de Saxe, and David Cebon. "Camera-based measurement of cyclist motion." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 7 (August 7, 2018): 1793–805. http://dx.doi.org/10.1177/0954407018789301.
Full textJia, Enzo C., Jianqiang Wang, and Daiheng Ni. "An Efficient Methodology for Calibrating Traffic Flow Models Based on Bisection Analysis." Journal of Applied Mathematics 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/949723.
Full textJin, Wenqiang, Srinivasan Murali, Youngtak Cho, Huadi Zhu, Tianhao Li, Rachael Thompson Panik, Anika Rimu, et al. "CycleGuard." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 4 (December 27, 2021): 1–30. http://dx.doi.org/10.1145/3494992.
Full textNAMIHIRA, Yuki, Jun MIURA, and Shuji OISHI. "Pedestrian and cyclist detection by LIDAR-camera fusion." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2016 (2016): 2P2–07b4. http://dx.doi.org/10.1299/jsmermd.2016.2p2-07b4.
Full textS, Anjali, and Nithin Joe. "Faster RCNN for Concurrent Pedestrian and Cyclist Detection." International Journal of Electronics and Communication Engineering 5, no. 5 (May 25, 2018): 21–24. http://dx.doi.org/10.14445/23488549/ijece-v5i5p105.
Full textDe Angelis, Marco, Víctor Marín Puchades, Federico Fraboni, Luca Pietrantoni, and Gabriele Prati. "Negative attitudes towards cyclists influence the acceptance of an in-vehicle cyclist detection system." Transportation Research Part F: Traffic Psychology and Behaviour 49 (August 2017): 244–56. http://dx.doi.org/10.1016/j.trf.2017.06.021.
Full textMehtab, Sabeeha, and Wei Qi Yan. "Flexible neural network for fast and accurate road scene perception." Multimedia Tools and Applications 81, no. 5 (January 25, 2022): 7169–81. http://dx.doi.org/10.1007/s11042-022-11933-0.
Full textLi, Xiaofei, Lingxi Li, Fabian Flohr, Jianqiang Wang, Hui Xiong, Morys Bernhard, Shuyue Pan, Dariu M. Gavrila, and Keqiang Li. "A Unified Framework for Concurrent Pedestrian and Cyclist Detection." IEEE Transactions on Intelligent Transportation Systems 18, no. 2 (February 2017): 269–81. http://dx.doi.org/10.1109/tits.2016.2567418.
Full textLiu, Chunsheng, Yu Guo, Shuang Li, and Faliang Chang. "ACF Based Region Proposal Extraction for YOLOv3 Network Towards High-Performance Cyclist Detection in High Resolution Images." Sensors 19, no. 12 (June 13, 2019): 2671. http://dx.doi.org/10.3390/s19122671.
Full textLiu, Xianpeng, Nan Xue, and Tianfu Wu. "Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 2 (June 28, 2022): 1810–18. http://dx.doi.org/10.1609/aaai.v36i2.20074.
Full textXu, Jun, Yanxin Ma, Songhua He, and Jiahua Zhu. "3D-GIoU: 3D Generalized Intersection over Union for Object Detection in Point Cloud." Sensors 19, no. 19 (September 22, 2019): 4093. http://dx.doi.org/10.3390/s19194093.
Full textHollaus, Bernhard, Jasper C. Volmer, and Thomas Fleischmann. "Cadence Detection in Road Cycling Using Saddle Tube Motion and Machine Learning." Sensors 22, no. 16 (August 17, 2022): 6140. http://dx.doi.org/10.3390/s22166140.
Full textYang, Lina, Yingping Huang, Xing Hu, Hongjian Wei, and Qixiang Wang. "Multiclass obstacles detection and classification using stereovision and Bayesian network for intelligent vehicles." International Journal of Advanced Robotic Systems 17, no. 4 (July 1, 2020): 172988142094727. http://dx.doi.org/10.1177/1729881420947270.
Full textLamberts, Robert P., Theresa N. C. Mann, Gerard J. Rietjens, and Hendrik H. Tijdink. "Impairment of 40-km Time-Trial Performance but Not Peak Power Output With External Iliac Kinking: A Case Study in a World-Class Cyclist." International Journal of Sports Physiology and Performance 9, no. 4 (July 2014): 720–22. http://dx.doi.org/10.1123/ijspp.2013-0040b.
Full textHu, Junping, Shitu Abubakar, Shengjun Liu, Xiaobiao Dai, Gen Yang, and Hao Sha. "Near-Infrared Road-Marking Detection Based on a Modified Faster Regional Convolutional Neural Network." Journal of Sensors 2019 (December 27, 2019): 1–11. http://dx.doi.org/10.1155/2019/7174602.
Full textLiang, Tianjiao, Hong Bao, Weiguo Pan, Xinyue Fan, and Han Li. "AspectNet: Aspect-Aware Anchor-Free Detector for Autonomous Driving." Applied Sciences 12, no. 12 (June 11, 2022): 5972. http://dx.doi.org/10.3390/app12125972.
Full textMicucci, Mantecchini, and Sangermano. "Analysis of the Relationship between Turning Signal Detection and Motorcycle Driver’s Characteristics on Urban Roads; A Case Study." Sensors 19, no. 8 (April 15, 2019): 1802. http://dx.doi.org/10.3390/s19081802.
Full textMimouna, Amira, Ihsen Alouani, Anouar Ben Khalifa, Yassin El Hillali, Abdelmalik Taleb-Ahmed, Atika Menhaj, Abdeldjalil Ouahabi, and Najoua Essoukri Ben Amara. "OLIMP: A Heterogeneous Multimodal Dataset for Advanced Environment Perception." Electronics 9, no. 4 (March 27, 2020): 560. http://dx.doi.org/10.3390/electronics9040560.
Full textShuang, Feng, Hanzhang Huang, Yong Li, Rui Qu, and Pei Li. "AFE-RCNN: Adaptive Feature Enhancement RCNN for 3D Object Detection." Remote Sensing 14, no. 5 (February 27, 2022): 1176. http://dx.doi.org/10.3390/rs14051176.
Full textRoemer, Felix, Marius Mrosek, Simon Schmalfuss, and Markus Lienkamp. "New Approach for an Easily Detachable Electric Drive Unit for Off-the-Shelf Bicycles." World Electric Vehicle Journal 9, no. 3 (August 23, 2018): 37. http://dx.doi.org/10.3390/wevj9030037.
Full textKim, Jin-Cheol, Hwi-Gu Jeong, and Seongwook Lee. "Simultaneous Target Classification and Moving Direction Estimation in Millimeter-Wave Radar System." Sensors 21, no. 15 (August 2, 2021): 5228. http://dx.doi.org/10.3390/s21155228.
Full textPavlovic, Ratko, and Zhanneta Kozina. "Differences in Anthropometric Characteristics and Body Composition of Athletes in Cyclic Endurance-Type Activities: A Case Study." Journal of Advances in Sports and Physical Education 5, no. 10 (October 12, 2022): 225–34. http://dx.doi.org/10.36348/jaspe.2022.v05i10.003.
Full textHariharan, Sneha, and Ravishankar T. K. "Smart Helmet." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 1365–67. http://dx.doi.org/10.22214/ijraset.2022.48212.
Full textHussain, Souhayla O. "Study on post-partum uterine involution by Ultrasonography and progesterone profile in local goats in Iraq." Iraqi Journal of Veterinary Medicine 40, no. 1 (June 5, 2016): 151–56. http://dx.doi.org/10.30539/iraqijvm.v40i1.153.
Full textBeanland, Vanessa, and Lisa J. Hansen. "Do cyclists make better drivers? Associations between cycling experience and change detection in road scenes." Accident Analysis & Prevention 106 (September 2017): 420–27. http://dx.doi.org/10.1016/j.aap.2017.07.013.
Full textXu, Xing, Xiang Wu, Yun Zhao, Xiaoshu Lü, and Aki Aapaoja. "3D Object Detection Algorithm Based on the Reconstruction of Sparse Point Clouds in the Viewing Frustum." Mobile Information Systems 2022 (October 15, 2022): 1–9. http://dx.doi.org/10.1155/2022/1611097.
Full textKoo, Helen S., and Xiao Huang. "Visibility aid cycling clothing: flashing light-emitting diode (FLED) configurations." International Journal of Clothing Science and Technology 27, no. 3 (June 1, 2015): 460–71. http://dx.doi.org/10.1108/ijcst-09-2014-0104.
Full textAllebosch, Gianni, Simon Van den Bossche, Peter Veelaert, and Wilfried Philips. "Camera-Based System for Drafting Detection While Cycling." Sensors 20, no. 5 (February 25, 2020): 1241. http://dx.doi.org/10.3390/s20051241.
Full textWang, Chen, Yulu Dai, Wei Zhou, and Yifei Geng. "A Vision-Based Video Crash Detection Framework for Mixed Traffic Flow Environment Considering Low-Visibility Condition." Journal of Advanced Transportation 2020 (January 17, 2020): 1–11. http://dx.doi.org/10.1155/2020/9194028.
Full textKonishi, Yuichi, Kosuke Shigematsu, Takashi Tsubouchi, and Akihisa Ohya. "Detection of Target Persons Using Deep Learning and Training Data Generation for Tsukuba Challenge." Journal of Robotics and Mechatronics 30, no. 4 (August 20, 2018): 513–22. http://dx.doi.org/10.20965/jrm.2018.p0513.
Full textValle-Melón, J. M., Á. Rodríguez-Miranda, and P. Pérez-Vidiella. "Detección del movimiento cíclico estacional en edificios históricos por métodos topográficos." Materiales de Construcción 61, no. 301 (March 11, 2011): 131–42. http://dx.doi.org/10.3989/mc.2011.54409.
Full textTewson, Paul, Scott Martinka, Nathan Shaner, Catherine Berlot, Anne Marie Quinn, and Thomas Hughes. "Assay for Detecting Gαi-Mediated Decreases in cAMP in Living Cells." SLAS DISCOVERY: Advancing the Science of Drug Discovery 23, no. 9 (July 10, 2018): 898–906. http://dx.doi.org/10.1177/2472555218786238.
Full textYang, Jing, and Ming Gou. "Follow-Based Forward Obstacle Detection Using Vision Insensitive Feature for Road Cycling." Advanced Materials Research 718-720 (July 2013): 2427–31. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2427.
Full textHan, Guangjie, Yintian Zhu, Lyuchao Liao, Huiwen Yao, Zhaolin Zhao, and Qi Zheng. "Hybrid Attention-Based 3D Object Detection with Differential Point Clouds." Electronics 11, no. 23 (December 2, 2022): 4010. http://dx.doi.org/10.3390/electronics11234010.
Full textOlszewski, Piotr, Witold Czajewski, Beata Osińska, Piotr Szagała, and Paweł Włodarek. "Investigation of traffic conflicts at signalised intersections in Warsaw." MATEC Web of Conferences 262 (2019): 05009. http://dx.doi.org/10.1051/matecconf/201926205009.
Full textPeng, Hao, Guofeng Tong, Zheng Li, Yaqi Wang, and Yuyuan Shao. "3D object detection combining semantic and geometric features from point clouds." Cobot 1 (January 12, 2022): 2. http://dx.doi.org/10.12688/cobot.17433.1.
Full textClark, Stephen D., and Matthew W. Page. "Cycling and Urban Traffic Management and Control Systems." Transportation Research Record: Journal of the Transportation Research Board 1705, no. 1 (January 2000): 77–84. http://dx.doi.org/10.3141/1705-12.
Full textWerner, Christian, Bernd Resch, and Martin Loidl. "Evaluating Urban Bicycle Infrastructures through Intersubjectivity of Stress Sensations Derived from Physiological Measurements." ISPRS International Journal of Geo-Information 8, no. 6 (June 6, 2019): 265. http://dx.doi.org/10.3390/ijgi8060265.
Full textDiyan, Muhammad, Murad Khan, Bhagya Nathali Silva, and Kijun Han. "Scheduling Sensor Duty Cycling Based on Event Detection Using Bi-Directional Long Short-Term Memory and Reinforcement Learning." Sensors 20, no. 19 (September 25, 2020): 5498. http://dx.doi.org/10.3390/s20195498.
Full textPatrona, Fotini, Paraskevi Nousi, Ioannis Mademlis, Anastasios Tefas, and Ioannis Pitas. "Visual Object Detection For Autonomous UAV Cinematography." Proceedings of the Northern Lights Deep Learning Workshop 1 (February 6, 2020): 6. http://dx.doi.org/10.7557/18.5099.
Full textLavrenko, Tetiana, Timo Gessler, Thomas Walter, Hubert Mantz, and Michael Schlick. "Radar Based Detection and Classification of Vulnerable Road Users." Engineering Proceedings 6, no. 1 (May 17, 2021): 67. http://dx.doi.org/10.3390/i3s2021dresden-10098.
Full textDejda, Agnieszka, Izabela Matczak, and Wojciech A. Gorczyca. "p19 detected in the rat retina and pineal gland is a guanylyl cyclase-activating protein (GCAP)." Acta Biochimica Polonica 49, no. 4 (December 31, 2002): 899–905. http://dx.doi.org/10.18388/abp.2002_3749.
Full textBattistini, Roberto, Alessandro Nalin, Andrea Simone, Claudio Lantieri, and Valeria Vignali. "How Do University Student Cyclists Ride? The Case of University of Bologna." Applied Sciences 12, no. 22 (November 14, 2022): 11569. http://dx.doi.org/10.3390/app122211569.
Full textEckstein, Hans, and Heike Schlobohm. "A Particulate Guanylate Cyclase (EC 4.6.1.2) from Growing Yeast Cells {Saccharomyces cerevisiae)." Zeitschrift für Naturforschung C 52, no. 5-6 (June 1, 1997): 373–79. http://dx.doi.org/10.1515/znc-1997-5-616.
Full textPaz, M. A., R. Flückiger, A. Boak, H. M. Kagan, and P. M. Gallop. "Specific detection of quinoproteins by redox-cycling staining." Journal of Biological Chemistry 266, no. 2 (January 1991): 689–92. http://dx.doi.org/10.1016/s0021-9258(17)35225-0.
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