References
[1]. Adhe, S., Kunthewad, S., Shinde, P., & Kulkarni, V. S. (2015). Ultrasonic smart stick for visually impaired people. IOSR Journal of Electronics and Communication Engineering, 11-15.
[2]. Aghav, J., Hirwe, P., & Nene, M. (2017). Deep Learning for Real Time Collision Detection and Avoidance. In Proceedings of International Conference on Communication, Computing and Networking.
[3]. Ajitkumar, R., Sivasuryan, M., Kumar, M., & Ragavanantham, S. (2018). Design and development of a kit for visually challenged people. International Journal of Innovative Research in Science, Engineering and Technology, 7(4), 3510-3520.
[4]. Al-Fahoum, A. S., Al-Hmoud, H. B., & Al-Fraihat, A. A. (2013). A smart infrared microcontroller-based blind guidance system. Active and Passive Electronic Components, 3(2), 1-7.
[5]. Alshbatat, N., & Ilah, A. (2013). Automated mobility and orientation system for blind or partially sighted people. International Journal on Smart Sensing & Intelligent Systems, 6(2), 569-582.
[6]. Al-Shehabi, M. M., Mir, M., Ali, A. M., & Ali, A. M. (2014). An Obstacle Detection and Guidance System for Mobility of Visually Impaired in Unfamiliar Indoor Environments. International Journal of Computer and Electrical Engineering, 6(4), 337.
[7]. Aruna, A., Mol, Y. B., Delcy, G., & Muthukumaran, N. (2018). Arduino Powered Obstacles Avoidance for Visually Impaired Person. Asian Journal of Applied Science and Technology, 2(2), 101-106.
[8]. Aswathy, V. R., Nadarajan, D., & Rao, S. (2015). Rf based talking signage for blind navigation. International Journal on Cybernetics & Informatics (IJCI), 4(2), 177-187.
[9]. Austen, I. (2004). Street Smarts: A Device to Help the Blind Find Crosswalks. The New York Times.
[10]. Balaji, C. & Marimuthu, M. I. (2017). An electronic stick guidance for visually impaired people navigation using audio system. International Journal of Engineering Science, 7(4), 6303-6306.
[11]. Balakrishnan, G. N. R. Y. S., Sainarayanan, G., Nagarajan, R., & Yaacob, S. (2006). A stereo image processing system for visually impaired. International Journal of Signal Processing, 2(3), 136-145.
[12]. Bhambare, R. R., Koul, A., Bilal, S. M., & Pandey, S. (2014). Smart Vision System For Blind. International Journal of Engineering and Computer Science, 3(5), 5790-5795.
[13]. Bhokare, A., Amberkar, A., Gawde, A., Kale, P., & Pasi, A. (2016). Ultrasonic blind walking stick. International Journal on Recent and Innovation Trends in Computing and Communication, 4(1), 62-65.
[14]. Bouhamed, S. A., Kallel, I. K., & Masmoudi, D. S. (2013). New electronic white cane for stair case detection and recognition using ultrasonic sensor. International Journal of Advanced Computer Science and Applications, 4(6).
[15]. Brassai, S. T., Bako, L., & Losonczi, L. (2011). Assistive Technologies for Visually Impaired People. Acta Universitatis Sapientiae-Electrical & Mechanical Engineering, 3, 39-50.
[16]. Caldini, A., Fanfani, M., & Colombo, C. (2015, September). Smartphone-based obstacle detection for the visually impaired. In International Conference on Image Analysis and Processing (pp. 480-488). Cham: Springer.
[17]. Caraiman, S., Morar, A., Owczarek, M., Burlacu, A., Rzeszotarski, D., Botezatu, N., & Moldoveanu, A. (2017). Computer vision for the visually impaired: the sound of vision system. In Proceedings of the IEEE International Conference on Computer Vision (pp. 1480-1489).
[18]. Castaño, F., Beruvides, G., Haber, R., & Artuñedo, A. (2017). Obstacle recognition based on machine learning for on-chip LiDAR sensors in a cyber-physical system. Sensors, 17(9), 2109.https://doi.org/10.3390/s17092109
[19]. Cavaco, S., Henriques, J. T., Mengucci, M., Correia, N., & Medeiros, F. (2013). Color sonification for the visually impaired. Procedia Technology, 9, 1048-1057. https://doi.org/10.1016/j.protcy.2013.12.117
[20]. Chaitrali, S. K., Yogita, A. D., Snehal, K., Swati, D., & Aarti, V. D. (2015). An intelligent walking stick for the blind. International Journal of Engineering Research and General Science, 3, 1057-1062.
[21]. Chary, B. V. R., & Kumar, B. S. (2014). Rescue System for Visually Impaired Blind Persons. International Journal of Engineering Trends and Technology (IJETT), 16(4).
[22]. Cividanes, E. (2010). Smart Low Power Obstacle Avoidance Device. A Thesis Submitted to The College of Engineering and Computer Science, Florida Atlantic University, Boca Raton, Florida. 1-69.
[23]. Dambhare, S., & Sakhare, A. (2011, December). Smart stick for Blind: Obstacle Detection, Artificial vision and Real-time assistance via GPS. In Proceedings of the 2nd National Conference on Information and Communication Technology, Chennai, India (pp. 23-24).
[24]. Daniyal, D., Ahmed, F., Ahmed, H., & Shaikh, E. Z. A. (2014). Smart Obstacle Detector for Blind Person. Journal of Biomedical Engineering and Medical Imaging, 1(3),31-40.DOI: 10.14738/jbemi.13.245
[25]. Deekshith, B. N., Shwetha, M. N., Padmakar, A., Gouthami, H. N., Sultana, N., (2015). GPS Based Virtual Eye For Visionless. International Journal of Scientific Engineering and Applied Science, 1(4), 101-106.
[26]. Deepik, S., Divya, B. E, Harshitha, K., Komala, B. K., & Shruthi, P., C., (2016). Ultrasonic Blind Walking Stick. International Journal of Advance Electrical and Electronics Engineering (IJAEEE), 5(6).
[27]. DGHS. (2010). Directorate General of Health Services, Ministry of Health and Family Welfare Nirman Bhavan; 2010. Government of India. Managing the revised national tuberculosis control programme in your area. A training course-modules (1-4)-central TB division, 1.
[28]. Dheekonda, R. S., Panda, S., Hasan, M., & Anwar, S. (2017). Object detection from a vehicle using deep learning network and future integration with multi-sensor fusion algorithm (No. 2017-01-0117). SAE Technical Paper. https://doi.org/10.4271/2017-01-0117
[29]. Duarte, K. S. (2014). SmartGuide: Shopping Assistant for Blind People (Post graduate thesis). Retrieved from https://estudogeral.sib.uc.pt/handle/10316/26369
[30]. Eluvathingal, T. J., Misab, P. V., Vishnu, T. S., & Anusree, K. (2018). Advanced Walking Stick for Visually Impaired. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2), 415-420.
[31]. Emerson, R. W., Naghshineh, K., Hapeman, J., & Wiener, W. (2011). A pilot study of pedestrians with visual impairments detecting traffic gaps and surges containing hybrid vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 14(2), 117-127.
[32]. Foster, A., Gilbert, C., & Johnson, G. (2008). Changing patterns in global blindness: 1988–2008. Community Eye Health, 21(67), 37.
[33]. Gaikwad, A. G., & Waghmare, H. K. Ultrasonic Smart Cane Indicating a Safe Free Path to Blind People. International Journal of Advanced Computing and Electronics Technology, 2(4), 12-16.
[34]. Gayathri, G., Vishnupriya, M., Nandhini, R., & Banupriya, M. (2014). Smart walking stick for visually impaired. International Journal of Engineering and Computer Science (IJECS), 3(3), 4057-4061.
[35]. Gbenga, D., E., & Shani, A., I., (2017). Adebimpe Lateef Adekunle “Smart Walking Stick for Visually Impaired People Using Ultrasonic Sensors and Arduino” International Journal of Engineering and Technology (IJET), 9(5).
[36]. Gilson, S., Gohil, S., Khan, F., & Nagaonkar, V. (2015). A wireless navigation system for the visually impaired. Capstone Project. Retrieved from https://pdfs.semantic scholar.org/86b6/835d7da6d8234b7c5322106571613f 1295b4.pdf
[37]. Gori, M, Cappagli, G., & Tonelli, A. (2015). Devices for visually impaired people: High technological devices with low user acceptance and no adaptability for children. Neuroscience & Biobehavioral Reviews, 69, 79- 88.
[38]. Gundewar, P. P., & Abhyankar, H. K. (2013). A Review on an Obstacle Detection in Navigation of Visually Impaired. International Organization of Scientific Research Journal of Engineering (IOSRJEN), 3(1), 1-6.
[39]. Hadáček, B. J. (2017). Application of a Camera in a Mobile Phone for Visually Impaired People (Doctoral Dissertation). Czech Technical University.
[40]. Hakobyan, L., Lumsden, J., O'Sullivan, D., & Bartlett, H. (2013). Mobile assistive technologies for the visually impaired. Survey of Ophthalmology, 58(6), 513-528. https://doi.org/10.1016/j.survophthal.2012.10.004
[41]. Hasan, A., & Sharif, N. (2014). Pedestrian crossing guide based on Android-Cloud platform for blind people (Doctoral dissertation, BRAC University).
[42]. Hassan, S. E. (2012). Are normally sighted, visually impaired, and blind pedestrians accurate and reliable at making street crossing decisions? Investigative Ophthalmology & Visual Science, 53(6), 2593-2600. https://doi.org/10.1167/iovs.11-9340
[43]. Hemalatha, N.,Dhivya, S.,Sobana, M., Viveka, R., & Vishalini, M. (2014). Adaptable Handy Clench for Destitute of Vision using GSM. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(4).
[44]. Hoang, V. N., Nguyen, T. H., Le, T. L., Tran, T. H., Vuong, T. P., & Vuillerme, N. (2017). Obstacle detection and warning system for visually impaired people based on electrode matrix and mobile Kinect. Vietnam Journal of Computer Science, 4(2), 71-83. https://doi.org/10.1007/ s40595-016-0075-z.https://doi.org/10.1016/j.sbspro.2017.02.117
[45]. Huang, W., McNamara, H., Molodan, D., Pasarkar, A., & Rizzo, R. (2014). Smart Cane. Retrieved from https://soe.rutgers.edu/sites/default/files/imce/pdfs/gset- 2014/Smart+Cane+Final.pdf
[46]. Ibam, E., O., Mark, A., Olushina, O., & Awodeyi, J., (2017). A mobility support device for the visually impaired people. International Journal of Computer and Information Technology, 6(4), 196-202.
[47]. Jayashree, N., & Kalpana, Y. (2018). Survey on face recognition, object and text detection for visually challenged people. International Journal of Pure and Applied Mathematics, 119(10), 161-168.
[48]. Johnson, J., Rajan, P. N., Thomas, N. M.,Rakendh, C S., Varghese, S. T. (2017). Smart Walking Stick for Blind. International Journal of Engineering Science Invention Research & Development, 3(4), 557-560.
[49]. José, J., Farrajota, M., Rodrigues, J. M., & Du Buf, J. H. (2011). The Smart Vision local navigation aid for blind and visually impaired persons, 5(5), 362-375.
[50]. Jose, J. T. P. N. (2010). Real-time path and obstacle detection for blind persons. Universidade Do Algarve Faculdade De Ciencias E Tecnologia, 1-49.
[51]. Kalpana Singh, Mansi, et al. (2018). Navigation System for Blind People Using GPS & GSM Techniques. IJSRMS, 3(11).
[52]. Kaur, B., & Bhattacharya, J. (2018). A scene perception system for visually impaired based on object detection and classification using multi-modal DCNN. arXiv preprint arXiv:1805.08798.
[53]. Kaur, N., Sharma, A., Gururani, M., Srivastava, A. K. (2017). Electronic travel aid system for blind people. International Journal of Electrical, Electronics and Data Communication, 5(6),45-46.
[54]. Khenkar, S., Alsulaiman, H., Ismail, S., Fairaq, A., Jarraya, S. K., & Ben-Abdallah, H. (2016). ENVISION: Assisted navigation of visually impaired smartphone users. Procedia Computer Science, 100, 128-135.
[55]. Kim, D. S., Emerson, R. W., & Curtis, A. (2009). Dropoff detection with the long cane: Effects of different cane techniques on per formance. Journal of Visual Impairment & Blindness, 103(9), 519-530.
[56]. Koester, D. (2012). A guidance and obstacle evasion software framework for visually impaired people (Diploma Thesis). Retrieved from https://cvhci. anthropomatik.kit.edu/~dkoester/publications/koester20 13diploma.pdf
[57]. Koley, S., & Mishra, R. (2012). Voice operated outdoor navigation system for visually impaired persons. International Journal of Engineering Trends and Technology, 3(2), 153-157.
[58]. Kumari, P., Chatterjee, S., Kannan, S., Singh , S., & Anuradha, B., (2018). Talkative Assistance System for Visually Impaired People. International Journal of Computer Engineering and Applications, 12, 1-6.
[59]. Kurian, A., Iype, A. K., Jayakumar, A., Kuriakose, S., James, A. (2017). A Microcontroller Based Smart Electronic Stick for Visually Impaired. International Journal of Innovative Research in Computer and Communication Engineering, 5(3), 5807-5811. https://doi.org/ 10.15680/IJIRCCE.2017. 0503269
[60]. Kuruvila, F., & Gulappagol, L., (2014). Intelligent Guidance System for Visually Impaired. International Journal of Electrical and Electronics Research, 2(3), 83- 87.
[61]. Lajurkar, H. D., & Malokar, R. D.(2017). Currency Recognition Blind Walking Stick. IJIRST - International Journal for Innovative Research in Science & Technology. 4(7), 40-42.
[62]. Lakde, C. K., & Prasad, P. S. (2015). Review paper on navigation system for visually impaired people. International Journal of Advanced Research in Computer and Communication Engineering, 4(1), 166- 168.
[63]. Lalar, S. (2013). Obstacle Detection Sensors: A Survey. General Article International Journal of Current Engineering and Technology, 3(5), 2138-2142.
[64]. Leduc-Mills, B., Profita, H., Bharadwaj, S., & Cromer, P. (2013). ioCane: A smart-phone and sensor-augmented mobility aid for the blind. Computer Science Technical Reports, 1031. https://scholar.colorado.edu/csci_techreports/1031
[65]. Lelièvre, F., & Bournot, M. (2005). Importance, caractéristiques, incapacités fonctionnelles et difficulties socials.
[66]. Lin, Q., Hahn, H., & Han, Y. (2013). Top-view-based guidance for blind people using directional ellipse model. International Journal of Advanced Robotic Systems, 10(9), 319. https://doi.org/10.5772/56715
[67]. Lokesh. A., Manjunath. T., Karthik., Srisail., & Kiran. M. (2016). Electronic stick along with android smartphone's to the aid of blindly disabled individuals. International Journal of Recent Trends in Engineering & Research, 2(5), 493-500.
[68]. Madulika, S. V., Mohan, M., Sridevi, C., & Rao, T. (2013). Arm7 based electronic travel aid system for blind people navigation and monitoring. International Journal of Research in Computer and Communication Technology, 2(12), 153-155.
[69]. Mahalle, S., & Lokhande, H. (February. 2014). “Ultrasonic Spectacles & Waist- Belt for Visually Impaired & Blind Person. IOSR Journal of Engineering, 4(2), 46-49.
[70]. Majerova, H. (2017). The Person in a Situation of Visual Impairment and its Perception and Imagination from the Qualitative Viewpoint. Procedia-Social and Behavioral Sciences, 237, 751-757.
[71]. Manohar, S. (2015). Dynamic Obstacle Detection (Bachelor of Technology Thesis, National Institute of Technology, Rourkela).
[72]. Martin, E. (2016). Technology Based Aid for the Visually Impaired (Thesis, The University of Dublin, Trinity College Dublin). Retrieved from https://scss.tcd.ie/ publications/theses/diss/2016/TCD-SCSS-DISSERTATION- 2016-007.pdf
[73]. Mascetti, S., Ahmetovic, D., Gerino, A., & Bernareggi, C. (2016). ZebraRecognizer: Pedestrian crossing recognition for people with visual impairment or blindness. Pattern Recognition, 60, 405-419. https://doi.org/10.1016/j.patcog.2016.05.002
[74]. Mascetti, S., Ahmetovic, D., Gerino, A., Bernareggi, C., Busso, M., & Rizzi, A. (2016). Robust traffic lights detection on mobile devices for pedestrians with visual impairment. Computer Vision and Image Understanding, 148, 123-135. https://doi.org/10.1016/j.cviu.2015.11.017
[75]. Mascetti, S., Picinali, L., Gerino, A., Ahmetovic, D., & Bernareggi, C. (2016). Sonification of guidance data during road crossing for people with visual impairments or blindness. International Journal of Human-Computer Studies, 85, 16-26. https://doi.org/10.1016/j.ijhcs.2015.08.003
[76]. Megalingam, R. K., Nambissan, A., Thambi, A., Gopinath, A., & Nandakumar, M. (2014, June). Sound and touch based smart cane: Better walking experience for visually challenged. In 2014 IEEE Canada International Humanitarian Technology Conference-(IHTC) (pp. 1-4). IEEE.
[77]. Mohajeri, N., Roozbeh, R., & Daneshvar, S. (2011). An obstacle detection system for blind people. In Proceedings of the World Congress on Engineering (Vol II).
[78]. Mohamed, A. M. A., & Hussein, M. A. (2016). Survey on obstacle detection and tracking system for the visual impaired. International Journal of Recent Trends in Engineering & Research, 2(8), 230-234.
[79]. National Health Profile. (2007). Central Bureau of Health Intelligence. Directorate General of Health Services, Ministry of Health and Family, Nirman Bhavan, New Delhi– 110011
[80]. Nirmalan, P. K., Thulasiraj, R. D., Maneksha, V., Rahmathullah, R., Ramakrishnan, R., Padmavathi, A. (2002). A population based eye survey of older adults in Tirunelveli district of south India: Blindness, cataract surger y and visual outcomes. British Journal of Ophthalmology, 86, 505-512.
[81]. Nowshin, N., Shadman, S., Joy, S., Aninda, S., & Minhajul, I. M. (2017). An Intelligent Walking Stick for the Visually-Impaired People. International Journal of Online Engineering (iJOE), 13(11), 94-101.
[82]. Oladayo, O. O. (2014). A multidimensional walking aid for visually impaired using ultrasonic sensors network with voice guidance. International Journal of Intelligent Systems and Applications, 6(8), 53. DOI: 10.5815/ijisa. 2014.08.06.
[83]. Omoifo, D. (2018). Obstacle detection in autonomous vehicles using deep learning (Thesis, Metropolia University of Applied Sciences).
[84]. Paisios, N. (2012). Mobile accessibility tools for the visually impaired (Doctoral Dissertation), New York University.
[85]. Palanisamy, K., Arunkumar, K., Bhuvaneshwaran, P., Naveenkumar, S., Dhamodharan, M. (2017). Walking Stick with OPCFD System. Global Research and Development Journal for Engineering, 3(1),1-5.
[86]. Pashiney, V., & Bhosle, N. (2017). Smart cane stick for visually impaired persons along with geographical location tracing system. International Journal of Science Technology & Engineering, 4(1), 173-177.
[87]. Pascolini, D., & Mariotti, S. P. (2012). Global estimates of visual impairment: 2010. British Journal of Ophthalmology, 96(5), 614-618. https://doi.org/10.1136/ bjophthalmol-2011-30053
[88]. Patankar, A., & Nikoubin, T. (2016, July). Wearable system for obstacle detection and human assistance th using ultrasonic sensor array. In Proceedings of the 7 International Conference on Computing Communication and Networking Technologies (p. 14). ACM.
[89]. Paulchamy, B., Anandhasundaram, K., (2018). A Novel Approach of Obstacle Detection for Visually Impaired People using Sensor Devices based Ultrasonic System. International Journal for Scientific Research & Development, 6(2).
[90]. Poggi, M., & Mattoccia, S. (2016, June). A wearable mobility aid for the visually impaired based on embedded 3D vision and deep learning. In 2016 IEEE Symposium on Computers and Communication (ISCC) (pp. 208-213). IEEE.
[91]. Pokale, S., Soni, S., & Shimpi, N. (2015). multipurpose gadget for blind person using GPS, obstacle detection, GSM modem and ARM7. National Conference- Ekalavya- 2k15, Special issue published by Multidisciplinary Journal of Research in Engineering and Technology (pp. 78- 84).
[92]. Połap, D., Kęsik, K., Książek, K., & Woźniak, M. (2017). Obstacle detection as a safety alert in augmented reality models by the use of deep learning techniques. Sensors, 17(12), 2803. https://doi.org/10.3390/s17122803
[93]. Priyadarshana, Y., & Wimalaratne, G. D. S. P. (2014). Sensing environment through mobile: A personalized wearable obstacle detection system for visually impaired people. International Journal of Engineering and Innovative Technology (IJEIT), 3(6), 1-8.
[94]. Radhika, R., Pai, P. G., Rakshitha, S., & Srinath, R. (2016). Implementation of smart stick for obstacle detection and navigation. International Journal of Latest Research in Engineering and Technology, 2(5), 45-50.
[95]. Rahman, S., Ullah, S., & Ullah, S. (2018, January). Obstacle detection in indoor environment for visually impaired using mobile camera. Journal of Physics: Conference Series, 960(1), 1-7.
[96]. Rajwani, R., Purswani, D., Kalinani, P. (2018). Proposed system on object detection for visually impaired people. International Journal of Information Technology (IJIT), 4(1), 1-6.
[97]. Rakshith, M. N., Ramesh, D., Sundar, S., & Shanmugasundaram, M. (2017). An efficient assistive system for the visually impaired. ARPN Journal of Engineering and Applied Sciences, 12(9), 5574-5577.
[98]. Rama, M. N., & Sudha, P. N. (2016). Smart navigation system for visually challenged people. International Journal of Industrial Electronics and Electrical Engineering (IJIEEE), 45-48.
[99]. Ramamohan, C., & Vardhan, V. D. (2016). Obstacle Detection And Navigation System for Impaired People. International Journal of Science, Engineering and Technology Research (IJSETR), 5(8), 2684-2689.
[100]. Ramirez, A. R. G., da Silva, R. F. L., Cinelli, M. J., & de Albornoz, A. D. C. (2012). Evaluation of electronic haptic device for blind and visually impaired people: A case study. Journal of Medical and Biological Engineering, 32(6), 423-428. https://doi.org/10.5405/jmbe.925
[101]. Ramirez, A. R. G., da Silva, R. F. L., Cinelli, M. J., & de Albornoz, A. D. C. (2012). Evaluation of electronic haptic device for blind and visually impaired people: A case study. Journal of Medical and Biological Engineering, 32(6), 423-428.
[102]. Rashad, B. N., & Nishadha, S. G. (2014). Artificial Vision for the Blind Using Motion Vector Estimation Technique. International Journal of Innovative Research in Science, Engineering and Technology, 3(5), 315-322.
[103]. Rastogi, S., Sharma, P., Dhall, P., Agarwal, R., & Sharma, P., (2017). A review paper on assistive shoe & cane for visually impaired people. International Journal of Scientific Research and Management Studies (IJSRMS), 3(2), 113-117 .
[104]. Rebekk, & Hoffmanna et. al. Dark glass, smart shoe, echolocation, autonomous way. International Journal of Human-Computer Studies, 115, 9-19.
[105]. Rodríguez, A., Bergasa, L. M., Alcantarilla, P. F., Yebes, J., & Cela, A. (2012, June). Obstacle avoidance system for assisting visually impaired people. In Proceedings of the IEEE Intelligent Vehicles Symposium Workshops (Vol. 35, p. 16).
[106]. Rodríguez, A., Yebes, J. J., Alcantarilla, P., Bergasa, L., Almazán, J., & Cela, A. (2012). Assisting the visually impaired: Obstacle detection and warning system by acoustic feedback. Sensors, 12(12), 17476-17496.
[107]. Roy, U., Rahman, M., & Hasan, F. B. (2017). Automated drug detection and location identification for visually impaired using image processing and voice commands (Doctoral dissertation), BRAC University.
[108]. Sachin, N., Muneshwara, M. S., Anil, G. N. (2016). Obstacle detection and deviation technique in real world. International Journal of Current Trends in Engineering & Research, 2(5), 117 –122.
[109]. Saffoury, R., Blank, P., Sessner, J., Groh, B. H., Martindale, C. F., Dorschky, E., ... & Eskofier, B. M. (2016, December). Blind path obstacle detector using st smartphone camera and line laser emitter. In 2016 1 International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW) (pp. 1-7). IEEE.
[110]. Sakhardande, J., Pattanayak, P., & Bhowmick, M. (2012). Smart cane assisted mobility for the visually impaired. World Academy of Science, Engineering and Technology. International Journal of Electrical and Computer Engineering, 6(10).
[111]. Sanchez, J., Yumang, A., & Caluyo, F. (2015). RFID based indoor navigation with obstacle detection based on A* Algorithm for the visually impaired. International Journal of Information and Electronics Engineering, 5(6), 428.
[112]. Sangami, A., Kavithra, M., Rubina, K., & Sivaprakasam, S. (2015). Obstacle detection and location finding for blind people. International Journal of Innovative Research in Computer and Communication Engineering, 3, 119-123.
[113]. Sarvesh, A., Ali, M. J., Birajdar, T., Patil, D., Saoji, S. (2015). Object detection in a smartphone for visually impaired users. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 3(1), 127- 128.
[114]. Senem, K. (2010). Wearable obstacle detection system integrated with conductive fibers for blinds (Thesis Proposal Report), Istanbul Technical University.
[115]. Sharma, B., Anwar, A., Nazir, A., Rashid, A., & Islam, K., J., U. (2017). Obstacle sensing and location tracking system for vision impaired persons. International Journal of Engineering Science and Computing, 7(5), 11265- 11267.
[116]. Sharma, P., Shimi, S. L., & Chatterji, S. (2015). A review on obstacle detection and vision. International Journal of Engineering Sciences & Research Technology, 4(1).
[117]. Shashank, K. V. N. & Kavitha. An electronic walking stick for blinds. International Conference on Information Communication & Embedded Systems (ICICES 2014).
[118]. Shin, B., S., & Lim, C., S., (2007, November). Obstacle detection and avoidance system for visually impaired people. In International Workshop on Haptic and Audio Interaction Design (pp. 78-85). Springer, Berlin, Heidelberg.
[119]. Shobhana, E. (2014). Microcontroller based obstacle detection device using voice signal for the visually impaired. International Journal Of Modern Engineering Research (IJMER), 4(5), 70-74.
[120]. Šimunović, L., Anđelić, V., & Pavlinušić, I. (2012). Blind people guidance system. Central Conference on Information and Intelligent Systems, 427-493.
[121]. Singh, M. G., Sharma, A., Tiwari, B. (2016). Smart EStick for visually impaired. International Journal of Advanced Research in Computer Science and Software Engineering, 6(12), 14-17.
[122]. Singhal, S., & Modi, S. (2016). A navigation guide for visually impaired person (Doctoral Dissertation). Thapar University.
[123]. Strömgren, O. (2018). Deep learning for autonomous collision avoidance, (Post graduate Thesis), Linköping University.
[124]. Sudhanthiradevi, M., Devi, S. M., & Roshini, R. (2016). Arduino based walking stick for visually impaired. International Journal of Advanced Research Trends in Engineering and Technology (IJARTET), 3, 188-191.
[125]. Suryavanshi, A., N., Chavan, M., S., & Jadhav, S., B., (April 2016). Assistance for visually impaired people. International Journal for Research in Applied Science & Engineering Technology (IJRASET), 4(IV).
[126]. Swathi, K., Ismitha, E. R., Subhashini, R. (2017). Smart walking stick using IoT. International Journal of Innovations & Advancement in Computer Science, IJIACS, 6(11), 124-128.
[127]. Szegedy, C., Toshev, A., & Erhan, D. (2013). Deep neural networks for object detection. In Advances in Neural Information Processing Systems (pp. 2553-2561).
[128]. Tekade, A., Sonekar, M., Ninave, M., & Dongre, P. (2018). Ultrasonic blind stick with GPS tracking system. International Journal of Engineering Science and Computing, 8(3), 16248 -16250.
[129]. Tekli, J., Issa, Y. B., & Chbeir, R. (2018). Evaluating touch-screen vibration modality for blind users to access simple shapes and graphics. International Journal of Human-Computer Studies, 110 ( c), 115-133. https://doi. org/10.1016/j.ijhcs.2017.10.009
[130]. Nguyen, T. C. (2014). Haptic Obstacle Detector for the blind (Post graduate Thesis), KTH Industrial Engineering and Management, Machine Design, Stockholm. Retrieved from http://www.diva-portal.org/smash/get/ diva2:818827/FULLTEXT01.pdf
[131]. Thulasiraj, R. D., Nirmalan, P. K., Ramakrishnan, R., Krishnadas, R., Manimekalai, T. K., Baburajan, N. P., ... & Robin, A. L. (2003). Blindness and vision impairment in a rural south Indian population : The Aravind Comprehensive Eye Survey. Ophthalmology, 110(8), 1491-1498.
[132]. Thulasiraj, R. D., Rahamathulla, R., Saraswati, A., Selvaraj, S., & Ellwein, L. B. (2002). The Sivaganga eye survey: I. Blindness and cataract surgery. Ophthalmic Epidemiology, 9(5), 299-312.
[133]. Tripathi, M., Kumar, M., Kumar, V., & Kandlikar, W. (2014). Electronics Guidance For The Navigation Of Visually Impaired Person. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(6).
[134]. Uppala, S. (2017). Smart Guiding Blind Stick. International Journal of Advance research in science and Engineering, 6(10), 2112- 2115.
[135]. Vasireddy, S., Ravipati, V., Ravi, T., & Jegan, G. (2016). Wireless sensor based GPS mobile application for blind people navigation. ARPN Journal of Engineering and Applied Sciences, 11(13), 8374- 8379.
[136]. Veeranjaneyulu, N., Baseer, K., K., Asha, V., S., Madhu Prakash, T. (2019). A systematic literature review on obstacle detection for visually impaired people. International Journal of Computer Sciences and Engineering, 7(6), pp.56-65.
[137]. Vemparala, R., & Gupta, P. (2017). National th Programme for control of blindness (NPCB) in the 12 five year plan: An overview. The Official Scientific Journal of Delhi Ophthalmological Society, 27(4), 290-292.
[138]. Venkateswar, S., & Mehendale, N. (2012). Intelligent belt for the blind. International Journal of Scientific & Engineering Research, 3(11), 1-3.
[139]. Vignesh, A., & Madheswari, K. (2017). Object detection application for visually challenged people using internet of things. International Journal for Research in Engineering Application & Management, 2(6),72-76.
[140]. Vigneshwari, C., Vimala, V., & Sumithra, G. (2013). Sensor based assistance system for visually impaired. International Journal of Engineering Trends and Technology (IJETT), 4(10).
[141]. Wahab, M. H. A., Talib, A. A., Kadir, H. A., Johari, A., Noraziah, A., Sidek, R. M., & Mutalib, A. A. (2011). Smart cane: Assistive cane for visually-impaired people. arXiv preprint arXiv:1110.5156, 8(4), 21-27.
[142]. Wankhade, S., Bichukale, M., Desai, S., Kamthe, S., & Borate, A. (2017). Smart stick for blind people with live video feed. International Research Journal of Engineering and Technology, 4(3), 1774-1778.
[143]. WHO Expert Committee on the Control of the Leishmaniases. Meeting, & World Health Organization. (2010). Control of the Leishmaniases: Report of a Meeting of the WHO Expert Committee on the Control of Leishmaniases, Geneva, 22-26 March 2010 (Vol. 949). http://www.who.int/mediacentre/factsheets/fs282/en/
[144]. Wold, Zimmer, E., & Padoy, S., H., (2016). Indoor Navigation for the Visually Impaired-A Systematic Literature Review. Faculty of Information Technology, Mathematics and Electrical Engineering, Norwegian University of Science and Technology, Norway .
[145]. Zeller, N. (2013). Obstacle detection using Microsoft Kinect (Master's Thesis), Ryerson University. Engineering Research, 3(11), 1-3.