An Efficient Algorithm for Roadways Obstacles Detection Using Smartphone in Infrastructure-less Environment
Chandra Kishor Pandey1, Neeraj Kumar2, Bineet Kumar Gupta3, Vinay Kumar Mishra4
1Chandra Kishor Pandey, Research Scholar, Department of Computer Application, Shri Ramswaroop Memorial University, Deva Road, Barabanki, U.P., India.
2Dr. Neeraj Kumar, Department of CS & IT, Babasaheb Bhimrao Ambedkar University, Satellite Campus, Teekarmafi, Amethi, U.P., India.
3Dr. Bineet Kumar Gupta, Department of Computer Application, Shri Ramswaroop Memorial University, Deva Road, Barabanki, U. P, India.
4Dr. Vinay Kumar Mishra, Department of Computer Application, SRMGPC, Faizabad Road, Lucknow, India.
Manuscript received on 12 March 2019 | Revised Manuscript received on 18 March 2019 | Manuscript published on 30 July 2019 | PP: 5976-5982 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3674078219/19©BEIESP | DOI: 10.35940/ijrte.B3674.078219
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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: Apart from having smart systems in modern vehicles, roadways traffic positions in infrastructure-free environment are in various ways not suitable for driving which causes roadways accidents. Smart systems are costly, training and maintenance is not practiced by all, hence they are not useful for vehicles running in infrastructure-less environment. Modern days Smartphone are multifunctional, easily operated and consists of numerous sensors, can be utilized for roadways obstacles detection in infrastructure-less environment. In this study, we proposed an efficient algorithm depth learning approach for roadways obstacles detection using Smartphone which is useful for planned as well as unplanned roads. In this, road information is collected using Smartphone accelerometer sensors, data normalization take place using Euler angle method and location determination of obstacles take place using space interpolation method. In comparison to other same type of approach, our algorithm is efficient and cost-effective.
Keywords: Roadway Obstacles, Smartphone Sensors, Infrastructure-Less Environment, Obstacle Detection.
Scope of the Article: Internet Technologies, Infrastructure, Services & Applications