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.

Experience Maps: Experience-Enhanced Routes for Car Navigation

Abstract: People spend a considerable time per day driving a car. Navigation technology helps the driver to find a location, to see traffic details, or to estimate the arrival time. Selecting a certain route influences the driving experience (i.e., the user experience while driving) through factors such as traffic density, landscape, or road type. However, current navigation systems mainly optimize routes regarding time, distance, or fuel efficiency--neglecting important driving experience factors: The fastest route might still be packed with traffic which stresses drivers or negatively influence their mood. In contrast, a slightly slower route could for instance offer a better driving experience with less traffic and scenic views. In this paper, we propose a concept that allows for experience-optimized routing to make driving more joyful and pleasurable. We also present the results of a web survey with 114 participants that we conducted to explore the users' preferences and opinions regarding taking the experience into account for route guidance.

Environment-Map-free Robot Navigation Based on Wireless Sensor Networks

Abstract: It's a new and good method to apply wireless sensor networks on robot navigation. We proposed an environment map free navigation for robot based on wireless sensor networks. In this system, the robot did not need to obtain the environment map and can get online navigation. The wireless sensor nodes collected environment and position information and made distributed information fusing to give a path for the robot. The robot then communicated with the wireless sensor network and went through following network's order. To combine the shorter path and the safer path, we proposed a navigation cost method for robot's navigation. It makes know by analysis that the environment map free navigation algorithm for robot in wireless sensor networks can achieve an online navigation and get highly precise navigation.

Personal Navigation System and route guiding method in the personal navigation system

Abstract: A Personal Navigation System (PNS) and a route guiding method in the PNS are provided. The PNS includes a mobile terminal for transmitting a route guiding request message including its current position information and destination information in response to a route guiding request from a user and a personal navigation server for receiving the route guiding request message, determining the accuracy of the current position information included in the received route guiding request message, providing Route Guiding Information (RGI) according to the current position information and the destination information if the current position information has a high accuracy, and providing destination coordinate information and peripheral map information around a user's current position to provide a direction toward a user's destination if the current position information has a low accuracy. Thus, when initial position of a user is inaccurate, route guiding using the inaccurate initial position is deferred and the user is guided in a direction toward a destination, thereby preventing additional deviation from a correct route due to inaccurate route guiding.

Navigation system and method

Abstract: PROBLEM TO BE SOLVED: To provide a navigation system and a navigation method for searching an optimum passing route to a walking user or a user on a bicycle. SOLUTION: A current position detection section 26 processes a signal received from a GPS satellite 19 via a GPS antenna 20, and detects the current position of a user passing on foot or by a bicycle. Map data near the current position and weather data near the current position are transmitted to a portable terminal 10 from a map data server 32 and a weather data server 34, respectively, via a communication section 24. A passing route searching circuit 41 searches an optimum passing route, based on the received weather data for displaying on an LCD 12. COPYRIGHT: (C)2005,JPO&NCIPI

Advanced Map Matching Technologies and Techniques for Pedestrian/Wheelchair Navigation

Abstract: Due to the constantly increasing technical advantages of mobile devices (such as smartphones), pedestrian/wheelchair navigation recently has achieved a high level of interest as one of smartphones’ potential mobile applications. While vehicle navigation systems have already reached a certain level of maturity, pedestrian/wheelchair navigation services are still in their infancy. By comparing vehicle navigation systems, a set of map matching requirements and challenges unique in pedestrian/wheelchair navigation is identified. To provide navigation assistance to pedestrians and wheelchair users, there is a need for the design and development of new map matching techniques. The main goal of this research is to investigate and develop advanced map matching technologies and techniques particular for pedestrian/wheelchair navigation services. As the first step in map matching, an adaptive candidate segment selection algorithm is developed to efficiently find candidate segments. Furthermore, to narrow down the search for the correct segment, advanced mathematical models are applied. GPS-based chain-code map matching, Hidden Markov Model (HMM) map matching, and fuzzy-logic map matching algorithms are developed to estimate real-time location of users in pedestrian/wheelchair navigation systems/services. Nevertheless, GPS signal is not always available in areas with high-rise buildings and even when there is a signal, the accuracy may not be high enough for localization of pedestrians and wheelchair users on sidewalks. To overcome these shortcomings of GPS, multi-sensor integrated map matching algorithms are investigated and developed in this research. These algorithms include a movement pattern recognition algorithm, using accelerometer and compass data, and a vision-based positioning algorithm to fill in signal gaps in GPS positioning. Experiments are conducted to evaluate the developed algorithms using real field test data (GPS coordinates and other sensors data). The experimental results show that the developed algorithms and the integrated sensors, i.e., a monocular visual odometry, a GPS, an accelerometer, and a compass, can provide high-quality and uninterrupted localization services in pedestrian/wheelchair navigation systems/services. The map matching techniques developed in this work can be applied to various pedestrian/wheelchair navigation applications, such as tracking senior citizens and children, or tourist service systems, and can be further utilized in building walking robots and automatic wheelchair navigation systems.