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A Comparison of Proximity Sensors for a Bicycle-to-Car Distance Rangefinder

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the article, three types of proximity sensors that might be used in bicycle rangefinder to measure the distance between the bicycle and an overtaking car are compared. The influence of various factors on the accuracy of the distance measurements obtained using ultrasonic, infrared and laser sensors is tested, among others, light conditions, car surface type and colour, rain, pollination and vibrations.
Rocznik
Strony
277--282
Opis fizyczny
Bibliogr. 25 poz., rys., tab., wykr.
Twórcy
  • Silesian University of Technology, Poland
Bibliografia
  • [1] M. De Angelis, V.M. Puchades, F. Fraboni, L. Pietrantoni, and G. Prati, “Negative attitudes towards cyclists influence the acceptance of an invehicle cyclist detection system,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 49, pp. 244–256, Aug. 2017. DOI: https://doi.org/10.1016/j.trf.2017.06.021
  • [2] E. Robartes, and T. D. Chen, “Crash histories, safety perceptions, and attitudes among Virginia bicyclists.” Journal of Safety Research, vol. 67, pp. 189–196, Dec. 2018. DOI: https://doi.org/10.1016/j.jsr.2018.10.009
  • [3] I. Walker, I. Garrard, and F. Jowitt, “The influence of a bicycle commuter's appearance on drivers’ overtaking proximities: An on-road test of bicyclist stereotypes, high-visibility clothing and safety aids in the United Kingdom,” Accident Analysis & Prevention, vol. 64, pp. 69–77, Mar. 2014. DOI: https://doi.org/10.1016/j.aap.2013.11.007
  • [4] B. Beck, D. Chong, J. Olivier, M. Perkins, A. Tsay, A. Rushford, L. Li, P. Cameron, R. Fry, and M. Johnson, “How much space do drivers provide when passing cyclists? Understanding the impact of motor vehicle and infrastructure characteristics on passing distance,” Accident Analysis & Prevention, vol. 128, pp. 253–260, Jul. 2019. DOI: https://doi.org/10.1016/j.aap.2019.03.007
  • [5] M. O'Reilly, “The device that measures cyclist passing distances,” http://www.executivestyle.com.au/the-device-that-measures-cyclist-passing-distances-gpehki (accessed on 8 July 2020).
  • [6] M. Dozza, R. Schindler, G. Bianchi-Piccinini, and J. Karlsson, “How do drivers overtake cyclists?” Accident Analysis & Prevention, vol. 88, pp. 29-36, Mar. 2016. DOI: https://doi.org/10.1016/j.aap.2015.12.008
  • [7] C3FT v1 | Codaxus LLC: http://codaxus.com/c3ft/c3ft-v1/ (accessed on 8 July 2020).
  • [8] C3FT v2 | Codaxus LLC: http://codaxus.com/c3ft/c3ft-v2/ (accessed on 8 July 2020).
  • [9] C3FT v3 | Codaxus LLC. http://codaxus.com/c3ft/c3ft-v3/ (accessed on 8 July 2020).
  • [10] A. K. Debnath, N. Haworth, A. Schramm, K. C. Heesch, and K. Somoray, “Factors influencing noncompliance with bicycle passing distance laws,”, Accident Analysis & Prevention, vol. 115, pp. 137-142, Jun. 2018. DOI: https://doi.org/10.1016/j.aap.2018.03.016
  • [11] J. Coburn, “Distance Sensor.” In: Build Your Own Car Dashboard with a Raspberry Pi. Apress, Berkeley, CA (2020). DOI: https://doi.org/10.1007/978-1-4842-6080-7_13
  • [12] Heckathorn, B.; MacPherson, T.; Schumacher, T., “Distance Sensors,” http://www.eecs.umich.edu/courses/eecs270/270lab/270_docs/Distance%20Sensor%20Presentation.pdf (accessed on 8 July 2020).
  • [13] B.G. Pavithra, P. Siva Subba Rao, A. Sharmila, S. Raja, and S.J. Sushma, “Characteristics of different sensors used for Distance Measurement,” International Research Journal of Engineering and Technology (IRJET), vol. 4, pp. 698-702, Dec. 2017.
  • [14] S. Adarsh, S. Mohamed Kaleemuddin, B. Dinesh, and K.I. Ramachandran, “Performance comparison of Infrared and Ultrasonic sensors for obstacles of different materials in vehicle/ robot navigation applications,” Proc. IOP Conf. Series: Materials Science and Engineering, 149, 2016. DOI: 10.1088/1757-899X/149/1/012141
  • [15] J. Majchrzak, M. Michalski, and G. Wilczyński, “Distance Estimation With a Long-Range Ultrasonic Sensor System,” IEEE Sensors Journal, vol. 9, pp. 767–773, 2009.
  • [16] T. Mohammad, “Using Ultrasonic and Infrared Sensors for Distance Measurement,” International Journal of Mechanical and Mechatronics Engineering, vol. 3, no. 3, pp. 273-278, 2009.
  • [17] S. Rzydzik, A. Saltarski, M. Roziński, and K. Psiuk, “Infrared Distance Sensors for Autonomous Model of Truck with Semi-trailer,” 2020 6th International Conference on Mechatronics and Robotics Engineering (ICMRE), Barcelona, Spain, 2020, pp. 104-109 (2020). DOI: 10.1109/ICMRE49073.2020.9065091
  • [18] W. Xu, C. Yan, W. Jia, X, Ji, and J. Liu, “Analyzing and Enhancing the Security of Ultrasonic Sensors for Autonomous Vehicles,” IEEE Internet of Things Journal, vol. 5, no. 6, pp. 5015–5029, Dec. 2018. DOI: 10.1109/JIOT.2018.2867917.
  • [19] R. Burnett, Ultrasonic vs Infrared (IR) Sensors – Which is better? https://www.maxbotix.com/articles/ultrasonic-or-infrared-sensors.htm (accessed on 8 July 2020).
  • [20] Distance Sensor Comparison Guide. https://www.sparkfun.com/distance_sensor_comparison_guide (accessed on 8 July 2020).
  • [21] HC-SR04 (ultrasound) vs Sharp GP2Y0A02YK0F (IR) vs VL53L0X (Laser), which solution to choose for distance measurement with Arduino or Raspberry Pi. https://diyprojects.io/hc-sr04-ultrasound-vs-sharp-gp2y0a02yk0f-ir-vl53l0x-laser-solutions-choose-distance-measurement-arduino-raspberrypi/#.XSWSkBLTAsc (accessed on 8 July 2020).
  • [22] https://diyprojects.io/proximity-sensor-a02yk0-test-calibration-sharp-gp2y0a02yk0f-asian-clone/#.XSMH7xLTAsc (accessed on 8 July 2020).
  • [23] Product User’s Manual – HC-SR04 Ultrasonic Sensor. Cytron Technologies, 2013.
  • [24] GP2Y0A02YK0F. Sharp Corporations, 2006
  • [25] A. Szydło, A device that measures the distance between a bicycle and a car. Master thesis written under supervision of Bartłomiej Zieliński, Silesian University of Technology, Institute of Computer Science, Gliwice 2017 [in Polish].
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a753237b-4f61-4417-87a2-7f820dd699bc
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