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.

Smart flashlight: map navigation using a bike-mounted projector

Abstract: While mobile phones affect our behavior and tend to separate us from our physical environment, this very environment could instead become a responsive part of the information domain. For navigation using a map while cycling in an urban environment, we studied two alternative solutions: smartphone display and projection on the road. This paper firstly demonstrates by proof-of-concept a GPS-based map navigation using a bike-mounted projector. Secondly, it implements a prototype using both a projector and a smartphone mounted on a bike, comparing them for use in a navigation system for nighttime cycling. Thirdly, it examines how visuo-spatial factors influence navigation. We believe that our findings will be useful for designing navigation systems for bikes and even for cars, helping cyclists and drivers be more attentive to their environment while navigating, and to provide useful information while moving.

User interface for dynamic user-defined stopovers during guided navigation ("side trips")

Abstract: A navigation device includes a route determiner module to formulate a first route from a first geographic location to a second geographic location. A route presentation module presents the first route to a user of the navigation device. A side trip presentation module presents a point-of-interest to the user of said navigation device and formulates a second route to said point-of- interest. An options module presents an option, during presentation of the first route, to recalculate the first route to the second geographic location to comprise the second route.

Methods and systems for displaying enhanced turn-by-turn guidance on a personal navigation device

Abstract: Embodiment methods and systems enable personal navigation devices to warn drivers during turn-by-turn navigation directions when they are approaching a difficult turn. Personal navigation devices may report to a server when a turn is missed during turn-by-turn directions, including identifying the turn and situation information. The server may aggregate missed turn reports from many personal navigation devices to generate a difficult turn database. Personal navigation devices may access the difficult turn database when generating turn-by-turn directions to identify turns requiring enhanced directions. The difficult turn database may be stored on personal navigation devices, and/or may be maintained on the server. Personal navigation devices may be configured to recognize when turns are intentionally missed, and only report missed turns when they determined that the turn was missed unintentionally. Indications of turn difficulty may be correlated to situation information received in missed turn reports to more accurately reflect when turns are difficult.

Can Active Navigation Be as Good as Driving? A Comparison of Spatial Memory in Drivers and Backseat Drivers

Abstract: When driving a vehicle, either the driver or a passenger (henceforth: backseat driver) may be responsible for navigation. Research on active navigation, primarily addressed in virtual environments, suggests that controlling navigation is more central for spatial learning than controlling movement. To test this assumption in a real-world scenario, we manipulated movement control through seating participants in the front or the back position of a tandem bike, and navigation control by presenting differently detailed maps to participants unfamiliar (Experiment 1) or familiar (Experiment 2) with an environment. Landmark knowledge was tested with recognition tasks. For participants unfamiliar with the environment (Experiment 1), passive navigation enabled better landmark recognition than active navigation, but there was no effect of movement control. For participants more familiar with the environment (Experiment 2), there was no effect of navigation control, but drivers showed better landmark recognition than backseat drivers. These findings are discussed in relation to action memory research. Measures of route and survey knowledge demonstrated that good performance resulted from active navigation (Experiment 1-2). Moreover, with regard to these measures, driving compensated for passive navigation if the environment was familiar (Experiment 2). An additional experiment in a lab setting (Experiment 3) validated the manipulation of navigation control and the used tasks and demonstrated the importance of real environment exposure. As our findings suggest, driving may be more relevant for remembering landmarks, but actively controlling navigation (even as a backseat driver) is more relevant for remembering a route than maneuvering a vehicle. (PsycINFO Database Record (c) 2012 APA, all rights reserved). Language: en

Route determining system for a vehicle with navigation system

Abstract: A system for determining an optimum route to a destination by a navigation system of a vehicle is provided. The system includes a navigation system, a remote information system, and a data communication network linking the navigation system and the remote information system. A method is also disclosed that includes the steps of establishing a communication connection between the navigation system and the remote information system, and determining the optimum route to the destination where the optimum route is determined based on requested information received from the remote information system.