Topic
Turn-by-turn navigation
About: Turn-by-turn navigation is a research topic. Over the lifetime, 2243 publications have been published within this topic receiving 52838 citations.
Papers published on a yearly basis
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HTC1
TL;DR: In this paper, a method for displaying a navigation route, a navigation apparatus, and a recording medium is provided, where a current location of a mobile device is detected and a start point and an end point are received.
Abstract: A method for displaying a navigation route, a navigation apparatus, and a recording medium are provided. In the method, a current location of a mobile device is detected. Next, a start point and an end point are received and a navigation route is planned accordingly. Then, an electronic map database is accessed and a navigation map is rendered on a screen of the mobile device according to the electronic map database, wherein only the map information associated with the navigation route in the electronic map database is displayed on the navigation map and the displayed map information comprises the road names of a current road and a next road associated with the current location of the mobile device in the navigation route.
22 citations
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06 Nov 2014TL;DR: A method to use points from geometric models to compute the best points to join a group as possible destinations when driving a robotic wheelchair using a Dynamic Bayesian Network.
Abstract: Approaching a group of humans is an important navigation task. Although many methods have been proposed to avoid interrupting groups of people engaged in a conversation, just a few works have considered the proper way of joining those groups. Research in the field of social sciences have proposed geometric models to compute the best points to join a group. In this article we propose a method to use those points as possible destinations when driving a robotic wheelchair. Those points are considered together with other possible destinations in the environment such as points of interest or typical static destinations defined by the user's habits. The intended destina- tion is inferred using a Dynamic Bayesian Network that takes into account the contextual information of the environment and user's orders to compute the probability for each destination. Index Terms—Intention estimation, human aware navigation, semi-autonomous navigation, robotic wheelchair, face control, voice control. I. INTRODUCTION
22 citations
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30 Jun 2008TL;DR: In this paper, a system for vehicle navigation accurately calculates travel times between locations and serves a vehicle driver request for the shortest time route, and compiles data of common road segments between two locations that are contained in route requests and subsequently calculates travel time between the two locations.
Abstract: A system for a vehicle navigation accurately calculates travel times between locations and serves a vehicle driver request for the shortest time route. A navigation server compiles data of common road segments between two locations that are contained in route requests and subsequently calculates travel time between the two locations. When subsequent route requests contain further information pertaining to the same locations, the navigation server updates the travel time. Consequently, the navigation server can calculate the travel times of different routes from the same source vehicle location and destination location. When a vehicle driver requests directions from the vehicle's current location to a destination, the navigation server then provides directions for the shortest time route to the vehicle driver.
21 citations
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13 Feb 2011TL;DR: A user study with $20$ participants in a large national supermarket investigated how the attention the user pays on her surroundings varies across two types of landmark-based instructions that vary in terms of their visual demand, indicating that an increase in the visual demand does not necessarily improve the participant's recall of their surrounding environment and that this increase can cause a decrease in navigation efficiency.
Abstract: Using landmark-based navigation instructions is widely considered to be the most effective strategy for presenting navigation instructions. Among other things, landmark-based instructions can reduce the user's cognitive load, increase confidence in navigation decisions and reduce the number of navigational errors. Their main disadvantage is that the user typically focuses considerable amount of attention on searching for landmark points, which easily results in poor awareness of the user's surroundings. In indoor spaces, this implies that landmark-based instructions can reduce the attention the user pays on advertisements and commercial displays, thus rendering the assistance commercially inviable. To better understand how landmark-based instructions influence the user's awareness of her surroundings, we conducted a user study with $20$ participants in a large national supermarket that investigated how the attention the user pays on her surroundings varies across two types of landmark-based instructions that vary in terms of their visual demand. The results indicate that an increase in the visual demand of landmark-based instructions does not necessarily improve the participant's recall of their surrounding environment and that this increase can cause a decrease in navigation efficiency. The results also indicate that participants generally pay little attention to their surroundings and are more likely to rationalize than to actually remember much from their surroundings. Implications of the findings on navigation assistants are discussed.
21 citations
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IBM1
TL;DR: In this article, a navigation manager cooperable with a user interface renderer is described, where the navigation manager manages one or more navigation units and maintains a navigation unit cursor, each navigation unit is associated with another navigation unit managed by the same navigation manager.
Abstract: A navigation manager component cooperable with a user interface renderer is described. The navigation manager manages one or more navigation units and maintains a navigation unit cursor. Each navigation unit is associated with another navigation unit managed by the same navigation manager. The navigation manager provides a range of navigation services, which operate upon the navigation unit cursor. These services include a service to navigate forwards and a service to navigate backwards. These services take into account the associations between navigation units in order to determine the correct sequence of navigation units for forwards and backwards navigation. The services also determine whether the items represented by each navigation unit include eligible items or items for which data entry is incomplete. In this way, navigation units for which all the items represented by the navigation unit are ineligible can be passed over by the navigation services, to that they never become current.
21 citations