2019
DOI: 10.1016/j.jksuci.2017.03.005
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A novel path planning algorithm for visually impaired people

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Cited by 17 publications
(10 citation statements)
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“…Similarly, the authors in [35] also target a similar problem of dynamic and time-dependent route planning which takes into account the prediction of traffic status using historical data and live traffic status into account. A greedy path planning algorithm [36] is developed for visually impaired people to smoothly navigate in a shopping mall by minimizing the number of turns and total distance. The idea can also be generalized to any other similar venue whose navigation map exists.…”
Section: Route Planning With Dynamicsmentioning
confidence: 99%
See 1 more Smart Citation
“…Similarly, the authors in [35] also target a similar problem of dynamic and time-dependent route planning which takes into account the prediction of traffic status using historical data and live traffic status into account. A greedy path planning algorithm [36] is developed for visually impaired people to smoothly navigate in a shopping mall by minimizing the number of turns and total distance. The idea can also be generalized to any other similar venue whose navigation map exists.…”
Section: Route Planning With Dynamicsmentioning
confidence: 99%
“…Considering path dynamics in such approaches is beneficial, however, they require more computational resources and internet connectivity, resulting in development of more power-hungry devises to be used during path navigation. Similarly, the idea to have minimum number of turns is practical, however, it can result in generating longer paths [36]. Finally, mimicking the scenario of robots with VIPs [37] [38] cannot be mapped entirely in its spirit to that of VIPs, since VIPs as human are intelligent to feel the environment to make adjustments during their navigation.…”
Section: Route Planning With Dynamicsmentioning
confidence: 99%
“…In [6], [7] authors have developed a robotic arm, allowing wheelchair users to individually collect an object from a shelf. [8] has presented an algorithm which returns the optimum path from a source to a destination, and re-orients the user if an obstacle is detected along the path. In fact, navigation path has been studied in robotic movement context [9], [10], [11], where the robot studies all environments and proposes a path to reach the destination while averting any obstacle that can be found in the user environment.…”
Section: Related Workmentioning
confidence: 99%
“…Modified Dijkstra's Blind people Path planning algorithm to help the visually impaired persons. [27] Autonomous Underwater Vehicles An approach to solve motion planning within a dynamic environment.…”
Section: Related Workmentioning
confidence: 99%