Toekomstige verbeteringen

Voor het testen van de voertuigherkenning component is een grotere dataset nodig waardoor beter inzicht wordt verkregen in de prestaties ervan. Daarnaast is het noodzakelijk dat in de dataset foto’s van taxi’s aanwezig zijn. Om te kunnen experimenteren met de werking van het kentekenplaatherkenning systeem bij kentekenplaten met een andere kleur dan geel.

In het experiment van de oplaadpuntlokalisatie kwam naar voren dat niet alle oplaadpunten aanwezig zijn in de database. Een goede verbetering is om een manier te vinden waarmee met zekerheid elk oplaadpunt in Nederland verkregen kan worden. Daarnaast zal deze dataset van oplaadpunten up-to-date moeten blijven zodat gegarandeerd altijd het juiste oplaadpunt gevon- den wordt met het systeem.

Bij het spotten van elektrische voertuigen met het systeem is menselijk handelen noodzake- lijk, namelijk met het gebruik van de mobiele applicatie. De meest ideale uitwerking zou zijn om op een geautomatiseerde manier te komen aan de foto’s van de elektrische voertuigen met de bijbehorende latitude en longitude co¨ordinaten. Door bijvoorbeeld camera’s op te hangen bij de oplaadpunten en deze te verbinden met de LAMP server door middel van de API. Dit was in de huidige setting niet mogelijk omdat alleen beperkte hulpmiddelen beschikbaar waren.

Bibliografie

[1] Aditya Goyal, A. B., and Chowdhury, M. K. A comprehensive review of image smoothing techniques. International Journal of Advanced Research in Computer Engineering Technology 1 (2012), 315–319.

[2] afdeling Onderzoek, g. U. Elektrisch rijden in de g4. https://www.utrecht. nl/fileadmin/uploads/documenten/2.concern- bestuur- uitvoering/Onderzoek_en_ cijfers/Elektrisch_rijden_in_de_G4.pdf, 2016. Accessed: 06-06-2016.

[3] Ahmad, I. S., Boufama, B., Habashi, P., Anderson, W., and Elamsy, T. Automatic license plate recognition: A comparative study. In 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) (2015), IEEE, pp. 635–640. [4] Basu, M. Gaussian-based edge-detection methods-a survey. IEEE Transactions on Systems,

Man, and Cybernetics, Part C 32, 3 (2002), 252–260.

[5] Berger, T. Analysis of current vpn technologies. In Availability, Reliability and Security, 2006. ARES 2006. The First International Conference on (2006), IEEE, pp. 8–pp.

[6] Bhushan, B., Singh, S., and Singla, R. License plate recognition system using neural networks and multithresholding technique. International Journal of Computer Applications 84, 5 (2013).

[7] Brahmbhatt, S. Practical OpenCV. Apress, 2013.

[8] Canny, J. A computational approach to edge detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 6 (1986), 679–698.

[9] Cazenave, A. Geoid, topography and distribution of landforms. Global Earth Physics: A Handbook of Physical Constants (1995).

[10] Corporation, O. Mysql - the world’s most popular open source database. https://www. mysql.com/, 2016. Accessed: 07-06-2016.

[11] Dina, N. Z., and Dailey, M. Empirical study of car license plates recognition. JUTI: Jurnal Ilmiah Teknologi Informasi 13, 1 (2015), 1–11.

[12] Foundation, T. A. S. The apache http server project. https://httpd.apache.org/, 2016. Accessed: 07-06-2016.

[13] Ghys, E. The shape of planet earth. http://www.josleys.com/show_gallery.php? galid=313, 2016. Accessed: 27-05-2016.

[14] Google. Angularjs superheroic javascript mvw framework. https://angularjs.org/, 2016. Accessed: 01-06-2016.

[15] Google. Getting started, google maps geocoding api, google developers. https:// developers.google.com/maps/documentation/geocoding/start, 2016. Accessed: 19- 05-2016.

[16] Hardy, Q. Bizarre insights from big data. http://bits.blogs.nytimes.com/2012/03/ 28/bizarre-insights-from-big-data/?_r=0, 2016. Accessed: 02-06-2016.

[17] HvA. E-mobility. http : / / www . hva . nl / kc - techniek / gedeelde - content / onderzoeksprogrammas / cleantech / onderzoeksthema - s / e - mobility / e - mobility . html, 2016. Accessed: 04-04-2016.

[18] IDO-LAAD. Intelligente data-gedreven optimalisatie laadinfrastructuur. http://www. idolaad.nl/, 2016. Accessed: 04-04-2016.

[19] Ionic. Ionic: Advanced html5 hybrid mobile app framework. http://ionicframework. com/, 2016. Accessed: 01-06-2016.

[20] Itseez. Opencv: Open source computer vision library. http://opencv.org/, 2016. Acces- sed: 03-06-2016.

[21] J.C. Spoelstra MSc, I. J. H. M. Public charging infrastructure use in the netherlands: A rollout-strategy assessment.

[22] Khurana, P., Bindal, P., et al. Study and comparative analysis of different hash algorithm.

[23] Kocer, H. E., and Cevik, K. K. Artificial neural networks based vehicle license plate recognition. Procedia Computer Science 3 (2011), 1033–1037.

[24] Kulesza, M. J. E-Park: Automated-Ticketing Parking Meter System. PhD thesis, 2015. [25] Kumar, M., Saxena, R., et al. Algorithm and technique on various edge detection: A

survey. Signal & Image Processing 4, 3 (2013), 65.

[26] Levenshtein, V. I. Binary codes capable of correcting deletions, insertions, and reversals. In Soviet physics doklady (1966), vol. 10, pp. 707–710.

[27] LLP, T. M. Telegram bot api. https://core.telegram.org/bots/api, 2016. Accessed: 24-05-2016.

[28] Malik, R., and Syal, R. Performance analysis of ip security vpn. International Journal of Computer Applications 8, 4 (2010), 0975.

[29] Navarro, G. A guided tour to approximate string matching. ACM computing surveys (CSUR) 33, 1 (2001), 31–88.

[30] NETMARKETSHARE. Mobile/tablet operating system market share. https://www. netmarketshare.com/, 2016. Accessed: 25-05-2016.

[31] Ng, H. S., Tay, Y. H., Liang, K. M., Mokayed, H., and Hon, H. W. Detection and recognition of malaysian special license plate based on sift features. arXiv preprint arXiv:1504.06921 (2015).

[32] Olex, V. Avoid vpn for database applications. http://www.slashdb.com/2013/01/19/ avoid-vpn-for-database-apps/, 2016. Accessed: 22-05-2016.

[33] OpenALPR Technology, I. Openalpr - automatic license plate recognition. http: //www.openalpr.com/, 2016. Accessed: 02-06-2016.

[34] Otsu, N. A threshold selection method from gray-level histograms. Automatica 11, 285-296 (1975), 23–27.

[35] Ozimek, A., Miles, D., et al. Stata utilities for geocoding and generating travel time and travel distance information. Stata Journal 11, 1 (2011), 106.

[37] psaiteja. Automatic/periodic ftp download using cron jobs. https://lookupnotes. blogspot.nl/2013/03/automaticperiodic-ftp-download-using.html, 2016. Accessed: 24-05-2016.

[38] RDW. Open mobiliteitsdata. https://opendata.rdw.nl/, 2016. Accessed: 04-04-2016. [39] RDW. Uitleg over de cijfers en letters op de kentekenplaat. https://www.rdw.nl/

Particulier/Paginas/Uitleg-over-de-cijfers-en-letters-op-de-kentekenplaat. aspx, 2016. Accessed: 21-05-2016.

[40] Robusto, C. The cosine-haversine formula. The American Mathematical Monthly 64, 1 (1957), 38–40.

[41] Shack, A. Tracking colored objects in opencv. http : / / aishack . in / tutorials / tracking-colored-objects-opencv/, 2016. Accessed: 11-05-2016.

[42] Sinnott, R. W. Virtues of the haversine. Sky and Telescope 68, 2 (1984), 159. [43] Steven R. Loomis, Keith Winstein, J. L. Coded hashes of arbitrary images.

[44] Sural, S., Qian, G., and Pramanik, S. Segmentation and histogram generation using the hsv color space for image retrieval. In Image Processing. 2002. Proceedings. 2002 Inter- national Conference on (2002), vol. 2, IEEE, pp. II–589.

[45] Suzuki, S., et al. Topological structural analysis of digitized binary images by border following. Computer Vision, Graphics, and Image Processing 30, 1 (1985), 32–46.

[46] Systems, A. Apache cordova. https://cordova.apache.org/, 2016. Accessed: 01-06- 2016.

[47] Tomasi, C., and Manduchi, R. Bilateral filtering for gray and color images. In Computer Vision, 1998. Sixth International Conference on (1998), IEEE, pp. 839–846.

[48] van den Hoed, R., Helmus, J., de Vries, R., and Bardok, D. Data analysis on the public charge infrastructure in the city of amsterdam. In Electric Vehicle Symposium and Exhibition (EVS27), 2013 World (2013), IEEE, pp. 1–10.

[49] Zhang, J. Computer vision: If you had to choose, would you rather go without lumi- nance or chrominance? https://www.quora.com/Computer- Vision- If- you- had- to- choose- would- you- rather- go- without- luminance- or- chrominance/answer/John- Zhang, 2016. Accessed: 11-05-2016.

[50] Zhang, Y., and Zhou, Y. Separating computation and storage with storage virtualization. Computer Communications 34, 13 (2011), 1539–1548.