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.

Content-aware navigation for large displays in context of traffic control rooms

Abstract: Context-sensitive information is of vital importance to the monitoring of processes in control rooms, but its incorporation in current state-of-the-art user interfaces is inadequate. By looking at a traffic control center as an example, this paper proposes an interaction concept for monitoring complex networks on large remote displays. Our approach is based on content-aware navigation with the goal to improve the navigation of the road network and the availability of context-sensitive information. We conducted a study comparing different navigation techniques as well as two techniques for visualizing context-sensitive information.

A cloud-based outdoor assistive navigation system for the blind and visually impaired

Abstract: Safe navigation in non-familiar outdoor environments is a challenging activity for the blind and visually impaired (BVI) people. This work introduces a cloud-based outdoor assistive navigation system (COANS) for BVI people. The main goal of the system is to provide easy street navigation and help to make outdoor walk in non-familiar environment less stressful. Hardware part from the user-side includes an android-based mobile phone and an external low-cost L1 GPS receiver to improve position accuracy. Applying the technique known as Real Time Kinematic (RTK) ameliorates the issue of the user position estimation. Interaction between the application and the user is based on voice commands (user-side) and voice notifications (system-side), together with the user-friendly “shaking” and “swiping” commands. The test scenarios for the system include traffic light status detection, zebra crossing path detection, and a bench discovering within a short distance from the user. In order to evaluate overall system performance, two groups of tests have been conducted. One is for GPS location accuracy from RTKLib and the other is for server-client communication time. It shows the usability of the proposed COANS system.

Navigation device for displaying alternative routes

Abstract: A navigation device has a route re-calculation function. This is activated by the user touching the screen to task away from the normal navigation map mode to a menu screen which displays multiple types of route re-calculation options.

Self-organizing visual perception for mobile robot navigation

Abstract: Visual navigation for mobile robots is almost always performed on the basis of complex CAD models which have to be given to the system in advance There are some approaches that map visual information more or less directly to robot actions in order to implement some basic capabilities like road following or docking Complex navigation task, eg in buildings, however, are usually solved using three dimensional models of the environment or the objects within it This paper presents a method for self-organizing the visual perception of a mobile robot in order to adapt it to the surroundings without the need to define and model the relevant aspects of the environment The system uses a self-organization process to transform the continuous pour of images into a limited number of discrete perceptions which can be used far navigation purposes Results obtained in an indoor office environment are presented Nevertheless, the approach is suited also for outdoor navigation

Providing augmented travel diretions

Abstract: Providing machine-generated travel directions with customized augmentations to enhance the navigation process. To provide machine-generated travel directions, a user submitted starting location, destination location, and meta-data associated with the user is used to generate a route between the starting location and destination location Annotations to the route are derived based on the meta-data associated with the user or characteristics associated with the route. The annotations are then ranked according to a determined priority. The route generated between the starting location and the destination location, and augmented with the ranked annotations, is displayed to the user.