REAL-TIME CAR NAVIGATION AND OBSTACLE AVOIDANCE
Elumalai Govindarajan
, Kanishya Anandhan , Abirami Shanmugasundaram , Dharshini Kaliyaperumal Manoharan , Gowsika Surulirajan
Real time car navigation, autonomous car, Artificial Intelligence (AI), Internet of Things (IoT).
Numerous recent technologies have been explored for the development of self Driving car yet this technology has not been implemented as of now. There are several drawbacks that have to be addressed before the full fledged implementation of autonomous car. The two main technologies that serve this purpose are Artificial Intelligence [AI] and Internet of Things [IoT]. AI is based on training the Machine according to predefined dataset, just like how the neural system in humans works. Here Camera act as the input device to capture in real time .If any fault occurs in camera, then the total system gets collapsed . To avoid such tremendous loss, IoT can be used as an alternative where several sensors can be employed in the vehicle to serve its purpose like Ultrasonic sensors for object detection and avoidance. Though IoT seems to solve this issue, making the sensors entirely active consumes large power demanding for more power supply and also there might occur fault in sensors as well. Integrating these two technologies by having the change in control from AI to IoT in case of fault might solve these issue some extent. So in this paper we will be implementing both these technologies together in the self driving car and also traffic sign detection and implementation in real time without the use of camera will be implemented in this paper.
"REAL-TIME CAR NAVIGATION AND OBSTACLE AVOIDANCE ", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.453-458, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001070.pdf
Volume 11
Issue 2,
February-2024
Pages : 453-458
Paper Reg. ID: TIJER_151066
Published Paper Id: TIJERB001070
Downloads: 000276
Research Area: Science and Technology
Country: Tiruvallur, Tamil Nadu, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
