Conference Papers

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    Smart Cane for Assisting Visually Impaired People
    (Institute of Electrical and Electronics Engineers Inc., 2019) Nandini, A.V.; Dwivedi, A.; Kumar, N.A.; Ashwin, T.S.; Vishnuvardhan, V.; Guddeti, R.M.R.
    Blindness disables a person from self-navigating outside well-known environments. It affects their ability to perform several jobs, duties, and activities. They are dependent on external assistance which can be provided by humans, dogs or special electronic devices for better decision making. This motivated us to create a prototype called 'Smart cane for assisting visually impaired people' to overcome the problems they face in their daily life. Our device is a low cost and lightweight system that processes signals and alerts the visually impaired over any obstacle, potholes or water puddles through different beeping patterns. It senses the light intensity of the environment and illuminates the LED accordingly. These are accomplished by incorporating two ultrasonic sensors, a moisture sensor and a LDR sensor along with an Arduino Nano micro-controller. These are placed at specific positions of the cane for efficient guidance. Moreover, a GSM module is also added to the system so that the visually impaired person can send a message to the emergency contact number in case of distress. The developed model showed 89 percent accuracy and 80 percent of the users were satisfied with the developed prototype. © 2019 IEEE.
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    Detection of Obstacles and Intelligent Narrow Road Navigation for Autonomous Vehicles - A Hardware Approach
    (Institute of Electrical and Electronics Engineers Inc., 2023) Gavasane, U.; Ananthanarayana, V.S.
    Obstacle detection is the most important functionality in the field of autonomous vehicles. One of the common challenges is detecting a narrow driving lane and navigating through it while performing obstacle identification and handling them. This problem falls under categories such as single-lane road block navigation, ad-hoc obstacles, narrow road path-finding, bridges, tunnel navigation, etc. In this work, we present an algorithm to handle these cases to perform successful detection and navigation through them. The lane navigation algorithm is used to perform autonomous driving under normal circumstances, and under narrow road circumstances, the Narrow Road Navigation (NRN) algorithm will be deployed. As proof of concept, we present a hardware prototype of a miniature car that will use the NRN algorithm. The hardware components and experimental results show that a successful implementation of the said algorithm is possible and can be used in actual real-life models and scenarios. © 2023 IEEE.