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A Survey of Accelerometer-Based Techniques for Road Anomalies Detection and Characterization

Yıl 2019, Cilt: 3 Sayı: 1, 8 - 20, 29.03.2019

Öz

In this paper, we present a decade survey of
accelerometer-based sensor approaches proposed in literature for road surface
conditions monitoring and anomalies detection. The main objective is to
evaluate the performance of different documented accelerometer-based road
anomaly detection techniques proposed, towards identifying their various
strengths and weaknesses. We observed that a major challenge associated with
these approaches, is in detection of the road anomaly and characterising it
into potholes or speed-bumps directly from the irregularly fluctuating measured
signals by the accelerometer. This drawback limits the efficacy of the proposed
variants of accelerometer sensor-based approaches when used for road condition
monitoring. Thus, future investigation will factor these in the design process
towards aiding the choice of favourable techniques for future vehicle
deployments by vehicle technology developers, as well as improvement for future
unmanned vehicles. Furthermore, several open research issues that need to be
addressed in designing and developing a robust accelerometer-based road
monitoring system are highlighted in the conclusion.

Kaynakça

  • [1] F. Seraj, B. J. V. D. Zwaag, A. D. T. Luarasi, and P. Havinga, "RoADS: A road pavement monitoring system for anomaly detection using smart phones," in In Proceedings of the 1st International Workshop on Machine Learning for Urban Sensor Data, (SenseML 2014), Netherlands, 2014.
  • [2] H. Bello-Salau, A. Aibinu, A. Onumanyi, E. Onwuka, J. Dukiya, and H. Ohize, "New road anomaly detection and characterization algorithm forautonomous vehicles," Applied Computing and Informatics, 2018.
  • [3] H. Bello-Salau, A. M. Aibinu, A. J. Onumanyi, S. Ahunsi, E. N. Onwuka, and J. J. Dukiya, "Development of a Road Surface Condition Monitoring and Database System," in 2nd International Conference on Information and Communication Technology and Its Applications (ICTA 2018), Federal University of Technology, Minna, Nigeria, 2018, p. 6.
  • [4] H. Bello-Salau, A. M. Aibinu, E. N. Onwuka, J. J. Dukiya, and A. J. Onumanyi, "Image processing techniques for automated road defect detection: A survey," in 11th International Conference on Electronics, Computer and Computation (ICECCO), 2014 2014, pp. 1-4.
  • [5] E. G. Agbonkhese, G. L. Yisa, D. O. Akanbi, E. O. Aka, and E. B. Mondigha, "Road traffic accidents in nigeria: causes and preventive measures," Civil and environmental research, vol. 3, pp. 90-99, 2013.
  • [6] A. F. Sumaila, "Road crashes trends and safety management in Nigeria," Journal of Geography and Regional Planning, vol. 6, p. 53, 2013.
  • [7] H. Bello-Salau, A. Aibinu, E. Onwuka, J. Dukiya, A. Onumanyi, and A. Ighabon, "Development of a laboratory model for automated road defect detection," Journal of Telecommunication, Electronic and Computer Engineering (JTEC), vol. 8, pp.97-101, 2016.
  • [8] H. Bello-Salau, A. M. Aibinu, E. N. Onwuka, J. J. Dukiya, M. E. Bima, A. J. Onumanyi, and T. A. Folorunso, "A New Measure for Analysing Accelerometer Data towards Developing Efficient Road Defect Profiling Systems," Journal of Scientific Research & Reports, vol. 7, pp. 108-116, 2015.
  • [9] E. Schnebele, B. Tanyu, G. Cervone, and N. Waters, "Review of remote sensing methodologies for pavement management and assessment," European Transport Research Review, vol. 7, p. 7, 2015.
  • [10] L. C. González, F. Martínez, and M. R. Carlos, "Identifying roadway surface disruptions based on accelerometer patterns," IEEE Latin AmericaTransactions, vol. 12, pp. 455-461, 2014.
  • [11] G. Chugh, D. Bansal, and S. Sofat, "Road condition detection using smartphone sensors: A survey," International Journal of Electronic and Electrical Engineering, vol. 7, pp. 595-602, 2014.
  • [12] Y. Meng and H.-C. Kim, "A review of accelerometer-based physical activity measurement," in Proceedings of the International Conference on ITConvergence and Security 2011, 2012, pp. 223-237.
  • [13] R. S. Figliola and D. Beasley, Theory and design for mechanical measurements: John Wiley & Sons, 2015.
  • [14] G. M. Rebeiz, RF MEMS: theory, design, and technology: John Wiley & Sons, 2004.
  • [15] H. Bello-Salau, A. M. Aibinu, E. N. Onwuka, J. J. Dukiya, M. E. Bima, A. J. Onumanyi, and T. A. Folorunso, "A New Measure for Analyzing Accelerometer Data towards Efficient Road Defect Profiling Systems," Journal of Scientific Research and Reports, vol. 7, pp. 108-116, 2015.
  • [16] D. Mattsson-Boze and D. Chatenever, "Image orientation for endoscopic video displays," ed: Google Patents, 2000.
  • [17] P.-J. Bristeau, F. Callou, D. Vissiere, and N. Petit, "The navigation and control technology inside the ar. drone micro uav," in 18th IFAC world congress, 2011, pp. 1477-1484.
  • [18] N. Metni, J.-M. Pflimlin, T. Hamel, and P.Souères, "Attitude and gyro bias estimation for a flying uav," in 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005.(IROS 2005). , 2005, pp. 1114-1120.
  • [19] P. W. Kithil, "Automobile air bag systems," ed: Google Patents, 1997.
  • [20] S. Tsuchitani, S. Suzuki, M. Miki, and M.Matsumoto, "Capacitance type accelerometer for air bag system," ed:Google Patents, 1994.
  • [21] A. Mohamed, M. M. M. Fouad, E. Elhariri, N. El-Bendary, H. M. Zawbaa, M. Tahoun, and A. E. Hassanien, "RoadMonitor: An intelligent road surface condition monitoring system," in Intelligent Systems' 2014, ed: Springer, 2015, pp. 377-387.
  • [22] M. Strutu, G. Stamatescu, and D. Popescu, "A mobile sensor network based road surface monitoring system," in 17th International Conference on System Theory, Control and Computing (ICSTCC), 2013, 2013, pp. 630-634.
  • [23] N. Akhtar, K. Pandey, and S. Gupta, "Mobile Application for Safe Driving," in proceedings of 2014 Fourth International Conference on Communication Systems and Network Technologies (CSNT), 2014, pp. 212-216.
  • [24] A. Vittorio, V. Rosolino, I. Teresa, C. M. Vittoria, and P. G. Vincenzo, "Automated sensing system for monitoring of road surface quality by mobile devices," Procedia-Social and Behavioral Sciences, vol. 111, pp. 242-251, 2014.
  • [25] V. Astarita, M. V. Caruso, G. Danieli, D. C. Festa, V. P. Giofrè, T. Iuele, and R. Vaiana, "A mobile application for road surface quality control: UNIquALroad," Procedia-Social and Behavioral Sciences, vol. 54, pp. 1135-1144, 2012.
  • [26] M. I. Strutu and D. Popescu, "Accelerometer Based Road Defects Identification System", U.P.B. Sci. Bull., Series C, Vol. 76, Iss. 3, 2014," 2014.
  • [27] P. Mohan, V. N. Padmanabhan, and R. Ramjee, "Nericell: rich monitoring of road and traffic conditions using mobile smartphones," in proceedings of the 6th ACM conference on Embedded network sensor systems, 2008, pp. 323-336.
  • [28] Y.-c. Tai, C.-w. Chan, and J. Y.-j. Hsu, "Automatic road anomaly detection using smart mobile device," in conference on technologies and applications of artificial intelligence, Hsinchu, Taiwan, 2010.
  • [29] M. Perttunen, O. Mazhelis, F. Cong, M. Kauppila, T. Leppänen, J. Kantola, J. Collin, S. Pirttikangas, J. Haverinen, and T. Ristaniemi, "Distributed road surface condition monitoring using mobile phones," in Ubiquitous Intelligence and Computing, ed: Springer, 2011, pp. 64-78.
  • [30] L. C. González-Gurrola, F. Martínez-Reyes, and M. R. Carlos-Loya, "The Citizen Road Watcher–Identifying Roadway Surface Disruptions Based on Accelerometer Patterns," in Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction, ed: Springer, 2013, pp. 374-377.
  • [31] J. Eriksson, L. Girod, B. Hull, R. Newton, S. Madden, and H. Balakrishnan, "The pothole patrol: using a mobile sensor network for road surface monitoring," in Proceedings of the 6th international conference on Mobile systems, applications, and services, 2008, pp. 29-39.
  • [32] V. Douangphachanh and H. Oneyama, "A study on the use of smartphones under realistic settings to estimate road roughness condition," EURASIP Journal on Wireless Communications and Networking, vol. 2014, p. 114, 2014.
  • [33] G. Alessandroni, A. Carini, E. Lattanzi, V. Freschi, and A. Bogliolo, "A study on the influence of speed on road roughness sensing: the SmartRoadSense case," Sensors, vol. 17, p. 305, 2017.
  • [34] K. De-Zoysa, C. Keppitiyagama, G. P. Seneviratne, and W. Shihan, "A public transport system based sensor network for road surface condition monitoring," in Proceedings of the 2007 workshop on Networked systems for developing regions, 2007, p. 9.
  • [35] A. Mednis, G. Strazdins, R. Zviedris, G. Kanonirs, and L. Selavo, "Real time pothole detection using android smartphones with accelerometers," in 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS), 2011, pp. 1-6.
  • [36] P. Aksamit and M. Szmechta, "Distributed, mobile, social system for road surface defects detection," in 5th International Symposium on Computational Intelligence and Intelligent Informatics (ISCIII), 2011, 2011, pp. 37-40.
  • [37] G. Strazdins, A. Mednis, G. Kanonirs, R. Zviedris, and L. Selavo, "Towards vehicular sensor networks with android smartphones for road surface monitoring," in Electronic Proceedings of CPS Week, 2nd International Workshop on Networks of Cooperating Objects (CONET’11), , 2011.
  • [38] A. Mednis, A. Elsts, and L. Selavo, "Embedded solution for road condition monitoring using vehicular sensor networks," in 2012 6th International Conference on Application of Information and Communication Technologies (AICT), 2012, pp. 1-5.
  • [39] N. Kalra, G. Chugh, and D. Bansal, "Analyzing driving and road events via smartphone," International Journal of Computer Applications, vol. 98, pp. 5-9, 2014.
  • [40] V. Astarita, D. C. Festa, D. W. E. Mongelli, and A. Tassitani, "New methodology for the identification of road surface anomalies," in Service Operations and Logistics, and Informatics (SOLI), 2014 IEEE International Conference on, 2014, pp. 149-154.
  • [41]G. Alessandroni, L. C. Klopfenstein, S. Delpriori, M. Dromedari, G. Luchetti, B. D. Paolini, A. Seraghiti, E. Lattanzi, V. Freschi, and A. Carini, "SmartRoadSense: Collaborative Road Surface Condition Monitoring," in the Eighth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2014), 2014, pp. 210-215.
  • [42] A. Mukherjee and S. Majhi, "Characterisation of road bumps using smartphones," European Transport Research Review, vol. 8, pp. 1-12, 2016.
  • [43] Z. Li, I. V. Kolmanovsky, U. V. Kalabić, E. M. Atkins, J. Lu, and D. P. Filev, "Optimal State Estimation for Systems Driven by Jump–Diffusion Process With Application to Road Anomaly Detection," IEEE Transactions on Control Systems Technology, vol. 25, pp. 1634-1643, 2017.
  • [44] U. Kalabić, I. Kolmanovsky, and J. Buckland, "Multi-input observer for estimation of compressor flow," in ASME 2013 Dynamic Systems and Control Conference, 2013, pp. V001T04A002-V001T04A002.
  • [45] J. M. Celaya-Padilla, C. E. Galván-Tejada, F. López-Monteagudo, O. Alonso-González, A. Moreno-Báez, A. Martínez-Torteya, J. I. Galván-Tejada, J. G. Arceo-Olague, H. Luna-García, and H. Gamboa-Rosales, "Speed bump detection using accelerometric features: a genetic algorithm approach," Sensors, vol. 18, p.443, 2018.
  • [46] M. R. Carlos, M. E. Aragón, L. C. González, H. J. Escalante, and F. Martínez, "Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Readings--Addressing Who's Who," IEEE Transactions on Intelligent Transportation Systems, 2018.
  • [47] A. S. El-Wakeel, J. Li, M. T. Rahman, A. Noureldin, and H. S. Hassanein, "Monitoring road surface anomalies towards dynamic road mapping for future smart cities," in Signal and Information Processing (GlobalSIP), 2017 IEEE Global Conference on, 2017, pp. 828-832.
Yıl 2019, Cilt: 3 Sayı: 1, 8 - 20, 29.03.2019

Öz

Kaynakça

  • [1] F. Seraj, B. J. V. D. Zwaag, A. D. T. Luarasi, and P. Havinga, "RoADS: A road pavement monitoring system for anomaly detection using smart phones," in In Proceedings of the 1st International Workshop on Machine Learning for Urban Sensor Data, (SenseML 2014), Netherlands, 2014.
  • [2] H. Bello-Salau, A. Aibinu, A. Onumanyi, E. Onwuka, J. Dukiya, and H. Ohize, "New road anomaly detection and characterization algorithm forautonomous vehicles," Applied Computing and Informatics, 2018.
  • [3] H. Bello-Salau, A. M. Aibinu, A. J. Onumanyi, S. Ahunsi, E. N. Onwuka, and J. J. Dukiya, "Development of a Road Surface Condition Monitoring and Database System," in 2nd International Conference on Information and Communication Technology and Its Applications (ICTA 2018), Federal University of Technology, Minna, Nigeria, 2018, p. 6.
  • [4] H. Bello-Salau, A. M. Aibinu, E. N. Onwuka, J. J. Dukiya, and A. J. Onumanyi, "Image processing techniques for automated road defect detection: A survey," in 11th International Conference on Electronics, Computer and Computation (ICECCO), 2014 2014, pp. 1-4.
  • [5] E. G. Agbonkhese, G. L. Yisa, D. O. Akanbi, E. O. Aka, and E. B. Mondigha, "Road traffic accidents in nigeria: causes and preventive measures," Civil and environmental research, vol. 3, pp. 90-99, 2013.
  • [6] A. F. Sumaila, "Road crashes trends and safety management in Nigeria," Journal of Geography and Regional Planning, vol. 6, p. 53, 2013.
  • [7] H. Bello-Salau, A. Aibinu, E. Onwuka, J. Dukiya, A. Onumanyi, and A. Ighabon, "Development of a laboratory model for automated road defect detection," Journal of Telecommunication, Electronic and Computer Engineering (JTEC), vol. 8, pp.97-101, 2016.
  • [8] H. Bello-Salau, A. M. Aibinu, E. N. Onwuka, J. J. Dukiya, M. E. Bima, A. J. Onumanyi, and T. A. Folorunso, "A New Measure for Analysing Accelerometer Data towards Developing Efficient Road Defect Profiling Systems," Journal of Scientific Research & Reports, vol. 7, pp. 108-116, 2015.
  • [9] E. Schnebele, B. Tanyu, G. Cervone, and N. Waters, "Review of remote sensing methodologies for pavement management and assessment," European Transport Research Review, vol. 7, p. 7, 2015.
  • [10] L. C. González, F. Martínez, and M. R. Carlos, "Identifying roadway surface disruptions based on accelerometer patterns," IEEE Latin AmericaTransactions, vol. 12, pp. 455-461, 2014.
  • [11] G. Chugh, D. Bansal, and S. Sofat, "Road condition detection using smartphone sensors: A survey," International Journal of Electronic and Electrical Engineering, vol. 7, pp. 595-602, 2014.
  • [12] Y. Meng and H.-C. Kim, "A review of accelerometer-based physical activity measurement," in Proceedings of the International Conference on ITConvergence and Security 2011, 2012, pp. 223-237.
  • [13] R. S. Figliola and D. Beasley, Theory and design for mechanical measurements: John Wiley & Sons, 2015.
  • [14] G. M. Rebeiz, RF MEMS: theory, design, and technology: John Wiley & Sons, 2004.
  • [15] H. Bello-Salau, A. M. Aibinu, E. N. Onwuka, J. J. Dukiya, M. E. Bima, A. J. Onumanyi, and T. A. Folorunso, "A New Measure for Analyzing Accelerometer Data towards Efficient Road Defect Profiling Systems," Journal of Scientific Research and Reports, vol. 7, pp. 108-116, 2015.
  • [16] D. Mattsson-Boze and D. Chatenever, "Image orientation for endoscopic video displays," ed: Google Patents, 2000.
  • [17] P.-J. Bristeau, F. Callou, D. Vissiere, and N. Petit, "The navigation and control technology inside the ar. drone micro uav," in 18th IFAC world congress, 2011, pp. 1477-1484.
  • [18] N. Metni, J.-M. Pflimlin, T. Hamel, and P.Souères, "Attitude and gyro bias estimation for a flying uav," in 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005.(IROS 2005). , 2005, pp. 1114-1120.
  • [19] P. W. Kithil, "Automobile air bag systems," ed: Google Patents, 1997.
  • [20] S. Tsuchitani, S. Suzuki, M. Miki, and M.Matsumoto, "Capacitance type accelerometer for air bag system," ed:Google Patents, 1994.
  • [21] A. Mohamed, M. M. M. Fouad, E. Elhariri, N. El-Bendary, H. M. Zawbaa, M. Tahoun, and A. E. Hassanien, "RoadMonitor: An intelligent road surface condition monitoring system," in Intelligent Systems' 2014, ed: Springer, 2015, pp. 377-387.
  • [22] M. Strutu, G. Stamatescu, and D. Popescu, "A mobile sensor network based road surface monitoring system," in 17th International Conference on System Theory, Control and Computing (ICSTCC), 2013, 2013, pp. 630-634.
  • [23] N. Akhtar, K. Pandey, and S. Gupta, "Mobile Application for Safe Driving," in proceedings of 2014 Fourth International Conference on Communication Systems and Network Technologies (CSNT), 2014, pp. 212-216.
  • [24] A. Vittorio, V. Rosolino, I. Teresa, C. M. Vittoria, and P. G. Vincenzo, "Automated sensing system for monitoring of road surface quality by mobile devices," Procedia-Social and Behavioral Sciences, vol. 111, pp. 242-251, 2014.
  • [25] V. Astarita, M. V. Caruso, G. Danieli, D. C. Festa, V. P. Giofrè, T. Iuele, and R. Vaiana, "A mobile application for road surface quality control: UNIquALroad," Procedia-Social and Behavioral Sciences, vol. 54, pp. 1135-1144, 2012.
  • [26] M. I. Strutu and D. Popescu, "Accelerometer Based Road Defects Identification System", U.P.B. Sci. Bull., Series C, Vol. 76, Iss. 3, 2014," 2014.
  • [27] P. Mohan, V. N. Padmanabhan, and R. Ramjee, "Nericell: rich monitoring of road and traffic conditions using mobile smartphones," in proceedings of the 6th ACM conference on Embedded network sensor systems, 2008, pp. 323-336.
  • [28] Y.-c. Tai, C.-w. Chan, and J. Y.-j. Hsu, "Automatic road anomaly detection using smart mobile device," in conference on technologies and applications of artificial intelligence, Hsinchu, Taiwan, 2010.
  • [29] M. Perttunen, O. Mazhelis, F. Cong, M. Kauppila, T. Leppänen, J. Kantola, J. Collin, S. Pirttikangas, J. Haverinen, and T. Ristaniemi, "Distributed road surface condition monitoring using mobile phones," in Ubiquitous Intelligence and Computing, ed: Springer, 2011, pp. 64-78.
  • [30] L. C. González-Gurrola, F. Martínez-Reyes, and M. R. Carlos-Loya, "The Citizen Road Watcher–Identifying Roadway Surface Disruptions Based on Accelerometer Patterns," in Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction, ed: Springer, 2013, pp. 374-377.
  • [31] J. Eriksson, L. Girod, B. Hull, R. Newton, S. Madden, and H. Balakrishnan, "The pothole patrol: using a mobile sensor network for road surface monitoring," in Proceedings of the 6th international conference on Mobile systems, applications, and services, 2008, pp. 29-39.
  • [32] V. Douangphachanh and H. Oneyama, "A study on the use of smartphones under realistic settings to estimate road roughness condition," EURASIP Journal on Wireless Communications and Networking, vol. 2014, p. 114, 2014.
  • [33] G. Alessandroni, A. Carini, E. Lattanzi, V. Freschi, and A. Bogliolo, "A study on the influence of speed on road roughness sensing: the SmartRoadSense case," Sensors, vol. 17, p. 305, 2017.
  • [34] K. De-Zoysa, C. Keppitiyagama, G. P. Seneviratne, and W. Shihan, "A public transport system based sensor network for road surface condition monitoring," in Proceedings of the 2007 workshop on Networked systems for developing regions, 2007, p. 9.
  • [35] A. Mednis, G. Strazdins, R. Zviedris, G. Kanonirs, and L. Selavo, "Real time pothole detection using android smartphones with accelerometers," in 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS), 2011, pp. 1-6.
  • [36] P. Aksamit and M. Szmechta, "Distributed, mobile, social system for road surface defects detection," in 5th International Symposium on Computational Intelligence and Intelligent Informatics (ISCIII), 2011, 2011, pp. 37-40.
  • [37] G. Strazdins, A. Mednis, G. Kanonirs, R. Zviedris, and L. Selavo, "Towards vehicular sensor networks with android smartphones for road surface monitoring," in Electronic Proceedings of CPS Week, 2nd International Workshop on Networks of Cooperating Objects (CONET’11), , 2011.
  • [38] A. Mednis, A. Elsts, and L. Selavo, "Embedded solution for road condition monitoring using vehicular sensor networks," in 2012 6th International Conference on Application of Information and Communication Technologies (AICT), 2012, pp. 1-5.
  • [39] N. Kalra, G. Chugh, and D. Bansal, "Analyzing driving and road events via smartphone," International Journal of Computer Applications, vol. 98, pp. 5-9, 2014.
  • [40] V. Astarita, D. C. Festa, D. W. E. Mongelli, and A. Tassitani, "New methodology for the identification of road surface anomalies," in Service Operations and Logistics, and Informatics (SOLI), 2014 IEEE International Conference on, 2014, pp. 149-154.
  • [41]G. Alessandroni, L. C. Klopfenstein, S. Delpriori, M. Dromedari, G. Luchetti, B. D. Paolini, A. Seraghiti, E. Lattanzi, V. Freschi, and A. Carini, "SmartRoadSense: Collaborative Road Surface Condition Monitoring," in the Eighth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2014), 2014, pp. 210-215.
  • [42] A. Mukherjee and S. Majhi, "Characterisation of road bumps using smartphones," European Transport Research Review, vol. 8, pp. 1-12, 2016.
  • [43] Z. Li, I. V. Kolmanovsky, U. V. Kalabić, E. M. Atkins, J. Lu, and D. P. Filev, "Optimal State Estimation for Systems Driven by Jump–Diffusion Process With Application to Road Anomaly Detection," IEEE Transactions on Control Systems Technology, vol. 25, pp. 1634-1643, 2017.
  • [44] U. Kalabić, I. Kolmanovsky, and J. Buckland, "Multi-input observer for estimation of compressor flow," in ASME 2013 Dynamic Systems and Control Conference, 2013, pp. V001T04A002-V001T04A002.
  • [45] J. M. Celaya-Padilla, C. E. Galván-Tejada, F. López-Monteagudo, O. Alonso-González, A. Moreno-Báez, A. Martínez-Torteya, J. I. Galván-Tejada, J. G. Arceo-Olague, H. Luna-García, and H. Gamboa-Rosales, "Speed bump detection using accelerometric features: a genetic algorithm approach," Sensors, vol. 18, p.443, 2018.
  • [46] M. R. Carlos, M. E. Aragón, L. C. González, H. J. Escalante, and F. Martínez, "Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Readings--Addressing Who's Who," IEEE Transactions on Intelligent Transportation Systems, 2018.
  • [47] A. S. El-Wakeel, J. Li, M. T. Rahman, A. Noureldin, and H. S. Hassanein, "Monitoring road surface anomalies towards dynamic road mapping for future smart cities," in Signal and Information Processing (GlobalSIP), 2017 IEEE Global Conference on, 2017, pp. 828-832.
Toplam 47 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Articles
Yazarlar

Habeeb Bello Salau

Adeiza James Onumanyi Bu kişi benim

Abiodun Musa Aibinu Bu kişi benim

Elizabeth Nonye Onwuka Bu kişi benim

Jaye Jeheosphart Dukiya Bu kişi benim

Henry Ohize Bu kişi benim

Yayımlanma Tarihi 29 Mart 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 3 Sayı: 1

Kaynak Göster

IEEE H. Bello Salau, A. J. Onumanyi, A. M. Aibinu, E. N. Onwuka, J. J. Dukiya, ve H. Ohize, “A Survey of Accelerometer-Based Techniques for Road Anomalies Detection and Characterization”, IJESA, c. 3, sy. 1, ss. 8–20, 2019.

ISSN 2548-1185
e-ISSN 2587-2176
Period: Quarterly
Founded: 2016
Publisher: Nisantasi University
e-mail:ilhcol@gmail.com