Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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    An android GPS-based navigation application for blind
    (Association for Computing Machinery, 2014) Nisha, K.K.; Pruthvi, H.R.; Hadimani, S.N.; Guddeti, G.R.M.; Ashwin, T.S.; Domanal, S.G.
    Visual Impairment makes the person depend on another person for all his works and daily chores. Through the application proposed in this paper, we aim to eliminate this dependency of a visually impaired person when travelling from one place to another. The main goal is to provide information regarding the current location, how much distance and time is required to reach the destination as well as provide the user with the directions and turns to be taken while travelling by providing continuous audio feedback in his understandable language. © is held by the author/owner(s).
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    A Framework To Study Heuristic TSP Algorithms With Google Maps API
    (Institute of Electrical and Electronics Engineers Inc., 2019) Ajumal, P.A.; Ananthakrishnan, S.; Jain, A.; Athreya, H.N.; Chandrasekaran, K.
    Millions of people depend on the navigation facilities available in smart-phones and web browsers for their daily commutes, planning long trips ahead of time, looking up places etc. Integration of GPS and compass made navigating anywhere in the world a trivial task. Today, there are several applications available that fit the purpose of navigation such as Waze, HereWeGo (previously known as Here Maps by Nokia), Google Maps, etc. When Google Maps was used to embark on a tour that will take us to chosen places by covering the least distance possible, it is observed that none of the aforementioned applications provide such a feature. In this paper, a framework is developed with Google Maps APIs to create such a feature. This problem is mapped to the Traveling salesman problem and tried to solve it using algorithms known for approximating TSP such as Artificial Bee Colony Algorithm, Particle Swarm Optimization and Two-opt Algorithm. The framework is tested with these algorithms and found that, Particle Swarm Optimization gives the best possible route. © 2019 IEEE.
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    Simulation of Indoor Localization and Navigation of Turtlebot 3 using Real Time Object Detection
    (Institute of Electrical and Electronics Engineers Inc., 2021) Nandkumar, C.; Shukla, P.; Varma, V.
    This paper proposes a method for indoor localization and navigation of Turtlebot 3 using Real Time Object Detection (RTOD). The robot is capable of recognizing the room it is placed inside based on the knowledge of positions of certain fixed arbitrary objects. The robot then proceeds to understand its position inside the room and is capable of moving to other locations. The robot is simulated using the ROS and Gazebo framework. The RTOD is trained to identify certain distinct objects like a rover, bowl, quadcopter and wheel based on which the robot is able to ascertain its location. © 2021 IEEE.
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    Opportunities and Challenges in Development of Support System for Visually Impaired: A Survey
    (Institute of Electrical and Electronics Engineers Inc., 2023) Vijetha, U.; Geetha, V.
    Over the past few years, the usage of assistive technology by the visually impaired (VI) has significantly increased worldwide. These devices assist the VI in carrying out daily tasks efficiently, boosts their independence, thereby enhancing the quality of life. However, most of these technologies are very expensive and are not affordable by persons living in mid and low-economy countries. Advances in computer vision and deep learning have opened doors to the development of low-cost solutions for the visually impaired. This paper investigates the potential of a smartphone app to qualify as an affordable yet effective VI assistive device. We highlight the recent developments in computer vision and deep learning techniques that have the potential to provide innovative solutions for the benefit of VI community. We outline the strengths and weaknesses of different techniques and report on the unresolved issues and potential future directions in the context of a support system for the visually impaired. © 2023 IEEE.