Article Sidebar

Submitted
Dec 4, 2023
Accepted
Nov 4, 2024
Published
Nov 4, 2024
Download
Statistic
Read Counter : 0

Downloads

Download data is not yet available.

Main Article Content

Abstract

This article's goal is to describe the evolution of assistive technology, which includes lidar-based maps for mobility blind navigation. This technology serves as a barrier against the difficulties faced by the blind when doing mobility tasks in areas without easily accessible mobility. The ADDIE development method is used in sensor-based mapping projects that cover analysis, design, development, implementation, and evaluation. The development of assistive technology produced a prototype based on lidar sensor technology that was enhanced with a webcam using a Raspberry Phi 4. This map can accurately depict areas and depict nearby obstacles. The device is then outfitted with a webcam camera that uses voice guidance to go to the destination room while reading the QR Code as a direction indicator. The simplified distance units and steps are easily comprehensible for individuals with visual impairments. Based on conducted studies, lidar sensor-based maps have proven to be an excellent tool for blind people requiring interior navigation.

Keywords

Maps Sensor Lidar Navigasi Mobilitas Tunanetra

Article Details

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to Cite
Mahdi, A., Marlina, M., Rahmahtrisilvia, R., Safaruddin, S., & Purwanto, W. . (2024). Maps Berbasis Sensor Lidar untuk Navigasi Tunanetra. Jurnal Pendidikan Kebutuhan Khusus, 8(2). https://doi.org/10.24036/jpkk.v8i2.844

References

  1. Campbell, S., O’Mahony, N., Krpalcova, L., Riordan, D., Walsh, J., Murphy, A., & Ryan, C. (2018). Sensor technology in autonomous vehicles: A review. 2018 29th Irish Signals and Systems Conference (ISSC), 1–4.
  2. Ermayuni, A., & Fatmawati, F. (2019). Peranan teman sebaya dalam orientasi dan mobilitas lingkungan sekolah pada siswa tunanetra di SMKN 7 Padang. Jurnal Penelitian Pendidikan Khusus, 7(1), 190–197.
  3. Hidayat, F., & Nizar, M. (2021). Model Addie (Analysis, Design, Development, Implementation and Evaluation) Dalam Pembelajaran Pendidikan Agama Islam. Jurnal Inovasi Pendidikan Agama Islam (JIPAI), 1(1), 28–38. https://doi.org/10.15575/jipai.v1i1.11042
  4. Kran, B. S., Lawrence, L., Mayer, D. L., & Heidary, G. (2019). Cerebral/cortical visual impairment: a need to reassess current definitions of visual impairment and blindness. Seminars in Pediatric Neurology, 31, 25–29.
  5. Kumasela, G. P., Saerang, J. S. M., & Rares, L. (2013). Hubungan waktu penggunaan laptop dengan keluhan penglihatan pada mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi. EBiomedik, 1(1).
  6. Nugraha, R. A. S., Arifin, D. M., Satyawan, A. S., Asysyakuur, M. I., Nufus, N., Santi, N. N. A. M., & Habibi, A. (2021). Pengembangan Software Aplikasi Pendeteksian Objek Berbasis LiDAR (Light Detection and Ranging)(Development of Lidar-Based Object Detection Software). Prosiding Seminar Nasional Sains Teknologi Dan Inovasi Indonesia (SENASTINDO), 3, 73–82.
  7. Panggabean, T. Y. S., & Ati, S. (2019). Evaluasi Jaws (Job Access With Speech) Screen Reader untuk Akses Informasi Tunanetra di Yayasan Komunitas Sahabat Mata Semarang. Jurnal Ilmu Perpustakaan, 6(3), 701–710.
  8. Putra, I. (2016). Sistem Kerja Sensor Laser pada LIDAR. J. Media Komun. Geogr, 17(1), 59– 70.
  9. Ramadhan, A. F., Putra, A. D., & Surahman, A. (2021). Aplikasi Pengenalan Perangkat Keras Komputer Berbasis Android Menggunakan Augmented Reality (Ar). Jurnal Teknologi Dan Sistem Informasi, 2(2), 24–31.
  10. Utomo, U. (2021). Keterampilan Orientasi Mobilitas (OM) bagi Tunanetra.
  11. Widayati, Y. T. (2017). Aplikasi Teknologi Qr (Quick Response) Code Implementasi Yang Universal. KOMPUTAKI, 3(1).

Most read articles by the same author(s)

1 2 > >>