Development of Smart Vehicle Blind Spot Detection System Based on 24 GHz Radar Sensors
M. Nor1, Mz Hassan2, N. Ab Wahab3, S. M. Najib4, Khairil Anwar Abu Kassim5
1Mohammad Nor Mustaza, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia.
2PM. Dr. Muhammad Zahir Hassan, Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan, Universiti Teknikal Malaysia Melaka, Malaysia.
3Ts. Dr. Norfariza Ab Wahab*, Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan, Universiti Teknikal Malaysia Melaka, Malaysia.
4Dr. Suhaila Mohd Najib, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka, Malaysia.
5Dr. Khairil Anwar Abu Kassim, Malaysian Institute of Road Safety Research, 43000 Kajang Selangor, Malaysia.
Manuscript received on January 26, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 2726-2730 | Volume-9 Issue-3, February 2020. | Retrieval Number: C6122029320/2020©BEIESP | DOI: 10.35940/ijeat.C6122.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Road safety has become more concern due to the number of accidents that keeps increasing every year. The safety system includes from simple installation such as seat belt, air bag and rear camera to more complicated and intelligent system such as braking assist, lane change assist and blind spot monitoring. This paper proposed a Smart Vehicle Blind Spot Detection System (VBDS) to observe the blind spot region based on ISO 17387: 2008(E). This system is mounted with two programmable 24 GHz radar sensors on the left and right rear side of the car. In addition, this system provides an audible and visual alert to the driver if the system senses any vehicles in the blind spot region using buzzer and LED, respectively. To analyze the performance of the system, test had been conducted at different demography condition. The accuracy of the system is analyzed by comparing number of vehicles detected within blind spot region and ground truth data. This system will alert the driver automatically to ensure the driver safety and reduce road accident. As conclusion, the system had been proofed applicable to use at different demography condition.
Keywords: Blind spot; ISO 17387:2008(E)