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Computers and Computing

Approach for Detecting Junctions in Roundabout Using Map Data

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References

  • R. Singh, P. S. Rana, and N. Jindal, “A novel approach for detecting roundabouts in maps based on analysis of core map data,” Multimed. Tools. Appl., Vol. 79, no. 1, pp. 1–27, 2020.
  • X. Li, and W. Zhang, “Automatic object-oriented roundabouts extraction from high resolution multispectral images,” Int. Arch. Photogrammetry, Remote Sensing Spatial Information Sci., Vol. 42, pp. 779–784, 2017.
  • L. García Cuenca, J. Sanchez-Soriano, E. Puertas, J. Andrés, and N. Aliane, “Machine learning techniques for undertaking roundabouts in autonomous driving,” Sensors, Vol. 19, no. 10, pp. 2386–2403, 2019.
  • M. Brandin. “Roundabout detecting arrangement,” Apr. 16, 2019, US Patent 10,259,322.
  • P. Jehlicka, D. Rolf, H. Hofmann, and B. Karge. “Trail interpolation,” Jul. 2, 2019, US Patent 10,337,869.
  • M. Muñoz-Organero, and R. Ruiz-Blázquez, “Detecting different road infrastructural elements based on the stochastic characterization of speed patterns,” J. Adv. Transport., Vol. 2017, pp. 1–12, 2017.
  • M. Di Vaio, P. Falcone, R. Hult, A. Petrillo, A. Salvi, and S. Santini, “Design and experimental validation of a distributed interaction protocol for connected autonomous vehicles at a road intersection,” IEEE Trans. Veh. Technol., Vol. 68, no. 10, pp. 9451–9465, 2019.
  • C. Setchell, and E. Dagless, “Vision-based road-traffic monitoring sensor,” IEE Proc., Vis. Image Signal Process., Vol. 148, no. 1, pp. 78–84, 2001.
  • A. Khotanzad, and Y. H. Hong, “Invariant image recognition by Zernike moments,” IEEE Trans. Pattern Anal. Mach. Intell., Vol. 12, no. 5, pp. 489–497, 1990.
  • A. Choksuriwong, H. Laurent, and B. Emile, “Comparison of invariant descriptors for object recognition,” in IEEE International Conference on Image Processing 2005, Vol. 1. IEEE, Silver Spring, 2005, pp. I–377.
  • C. Cisneros, L. Morales, M. Silvera, and F. Campos, “Design of mini roundabouts with adaptive traffic lights to improve vehicular travel times and roundabout capacity in metropolitan cities,” in 2022 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI). IEEE, Silver Spring, 2022, pp. 1–6.
  • Y. Zhang, J. Zhang, and B. Dong, “An optimal management scheme for connected vehicles merging at a roundabout,” in 2022 6th CAA International Conference on Vehicular Control and Intelligence (CVCI). IEEE, Silver Spring, 2022, pp. 1–6.
  • A. Shatnawi, A. Drine, M. Al-Zinati, and Q. Althebyan, “Simulation study of speed control at congested arms of roundabouts,” in 2021 22nd International Arab Conference on Information Technology (ACIT). IEEE, Silver Spring, 2021, pp. 1–5.
  • A. Supramaniam, M. A. Zakaria, B. Kunjunni, M. H. B. Peeie, A. F. A. Nasir, and M. I. Ishak, “Estimation of electric vehicle turning radius through machine learning for roundabout cornering,” in 2021 IEEE 19th Student Conference on Research and Development (SCOReD). IEEE, Silver Spring, 2021, pp. 329–332.
  • T. H. Heung, T. K. Ho, and Y. F. Fung, “Coordinated road-junction traffic control by dynamic programming,” IEEE Trans. Intell. Transp. Syst., Vol. 6, no. 3, pp. 341–350, 2005.
  • M. Zhao, D. Kathner, M. Jipp, D. Soffker, and K. Lemmer, “Modeling driver behavior at roundabouts: Results from a field study,” in 2017 IEEE Intelligent Vehicles Symposium (IV). IEEE, Silver Spring, 2017, pp. 908–913.
  • J.-B. Bordes, and M. Roux, “Detection of roundabouts in satellite image.” ISPRS, Ankara (Turkey), XXXVI, 1–6, 2006.
  • M. A. Ali, and M. Mailah, “Path planning and control of mobile robot in road environments using sensor fusion and active force control,” IEEE Trans. Veh. Technol., Vol. 68, no. 3, pp. 2176–2195, 2019.
  • B. Waterson, and S. Box, “Quantifying the impact of probe vehicle localisation data errors on signalised junction control,” IET Intel. Transport Syst., Vol. 6, no. 2, pp. 197–203, 2012.
  • M. Ekinci, and B. T. Thomas, “Road junction recognition and turn-offs for autonomous road vehicle navigation,” in Proceedings of 13th International Conference on Pattern Recognition, Vol. 3. IEEE, Silver Spring, 1996, pp. 318–322.
  • A. Broggi, et al., “Proud—public road urban driverless-car test,” IEEE Trans. Intell. Transp. Syst., Vol. 16, no. 6, pp. 3508–3519, 2015.
  • S. Eleuch, N. Khouja, T. Erseghe, and F. Tlili, “Feature-based vehicle tracking at roundabouts in visual sensor networks,” in 2020 17th Inter- National Multi-Conference on Systems, Signals & Devices (SSD). IEEE, Silver Spring, 2020, pp. 167–172.
  • M. Sutharsan, S. Rajakaruna, S. Jayaweera, J. Jayaweera, and S. Thaya- paran, “Vision-based adaptive traffic light controller for single intersection,” in 2020 5th International Conference on Information Technology Research (ICITR). IEEE, Silver Spring, 2020, pp. 1–6.
  • C. Zinoune, P. Bonnifait, and J. Ibañez-Guzmán, “Detection of missing roundabouts in maps for driving assistance systems,” in 2012 IEEE Intelligent Vehicles Symposium. IEEE, Silver Spring, 2012, pp. 123–128.
  • M. B. Wondimagegnehu, and G. Alemu, “Short time traffic flow identification and prediction at road junctions using recurrent multilayer perceptron,” in 2017 IEEE AFRICON. IEEE, Silver Spring, 2017, pp. 15–20.
  • A. Buades, and R. G. von Gioi, “Visual system inspired algorithm for contours, corner and t-junction detection,” in 2016 6th European Workshop on Visual Information Processing (EUVIP). IEEE, Silver Spring, 2016, pp. 1–6.
  • T. Ho, “Fuzzy logic traffic control at a road junction with time-varying flow rates,” Electron. Lett., Vol. 32, no. 17, pp. 1625–1626, 1996.
  • M. Ravanbakhsh, C. Heipke, and K. Pakzad, “Knowledge-based road junction extraction from high-resolution aerial images,” in 2007 Urban Remote Sensing Joint Event. IEEE, Silver Spring, 2007, pp. 1–8.
  • X. Yang, X. Li, and K. Xue, “A new traffic-signal control for modern roundabouts: method and application,” IEEE Trans. Intell. Transp. Syst., Vol. 5, no. 4, pp. 282–287, 2004.
  • R. Singh. “Roundabout junctions dataset, 1021227/n7m1-ft80,” 2020.
  • J. Huang, and C. Ling, “Using auc and accuracy in evaluating learning algorithms,” IEEE Trans. Knowl. Data Eng., Vol. 17, no. 3, pp. 299–310, 2005.

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