Lane-Level Positioning Method for 3D In-Vehicle Navigation System

2013 ◽  
Vol 340 ◽  
pp. 767-772
Author(s):  
Lin Zhang ◽  
Bin Wang ◽  
Xue Yu Mi ◽  
Li Fen Yi
Keyword(s):  
Navigation System ◽  
Vehicle Navigation ◽  
Navigation Systems ◽  
Route Guidance ◽  
Map Matching ◽  
Differential Gps ◽  
Vehicle Navigation System ◽  
Detection Technology ◽  
Positioning Method ◽  
The Way

The objective of this study is to find an effective way to realize lane-level route guidance for vehicle navigation system. Based on the modeling of 3D map, a lane-level positioning method was presented by the way of combination of virtual differential GPS, height aiding, and collision detecting technique. GPS parameters were amended through virtual differential technology and height aiding technology by the way of elevation interpolation and least squares estimation in order to improve the output precision. Then a method of lane-level map matching was implemented in 3D digital map based on the collision detection technology. Tested by RTK technique, the method was proven to fulfill the demands of vehicle navigation systems.

A Map Matching Algorithm Based on Curvature and Slope

2012 ◽  
Vol 594-597 ◽  
pp. 2390-2393
Author(s):  
Wei Ying Wu ◽  
Chuan Li Kang
Keyword(s):  
Navigation System ◽  
Vehicle Navigation ◽  
Route Guidance ◽  
Map Matching ◽  
Matching Algorithm ◽  
Vehicle Navigation System ◽  
Road Condition ◽  
Path Matching

In vehicle navigation system, path matching often go wrong when road condition is complex, especially there are island ring, or exit and entrance of highway. This lead to wrong map display and wrong route guidance, thus system give a bad impact to driver. In order to solve this problem, this paper includes a map matching algorithm based on curvature and slope. This Algorithm coding has been realized by c and proved its availability at last.

An Improved Map Matching Algorithm

2012 ◽  
Vol 256-259 ◽  
pp. 2947-2952 ◽  
Author(s):  
Xiao Feng Kang ◽  
Wei Ying Wu
Keyword(s):  
Navigation System ◽  
Vehicle Navigation ◽  
Route Guidance ◽  
Map Matching ◽  
Matching Algorithm ◽  
Vehicle Navigation System ◽  
Road Condition

Mistakes often occurs in map matching when road condition is complex, especially there is island ring, or exit and entrance of highway, in vehicle navigation system. Wrong map matching will lead to wrong map display and wrong route guidance, thus system gives a bad impact to driver. In order to solve this problem, this paper includes an improved map matching algorithm based on NDS, which takes curvature and slope into account. This Algorithm coding has been realized by c and proved its availability at last.

Advanced Vehicle Navigation applied in the BMW Real Time Light Simulation

2000 ◽  
Vol 53 (1) ◽  
pp. 30-41 ◽  
Author(s):  
J. P. Löwenau ◽  
P. J. Th. Venhovens ◽  
J. H. Bernasch
Keyword(s):  
Real Time ◽  
Traffic Safety ◽  
Driving Simulator ◽  
Vehicle Navigation ◽  
Navigation Systems ◽  
Route Guidance ◽  
Differential Gps ◽  
Night Time ◽  
Cd Rom ◽  
Positioning Systems

Advanced vehicle navigation based on the US Global Positioning Systems (GPS) will play a major role in future vehicle control systems. Contemporary vehicle navigation systems generally consist of vehicle positioning using satellites and location and orientation of the vehicle with respect to the roadway geometry using a digitised map on a CD-ROM. The standard GPS (with Selective Availability) enables positioning with an accuracy of at least 100 m and is sufficiently accurate for most route guidance tasks. More accurate, precision navigation can be obtained by Differential GPS techniques. A new light concept called Adaptive Light Control (ALC) has been developed with the aim to improve night-time traffic safety. ALC improves the headlamp illumination by means of continuous adaptation of the headlamps according to the current driving situation and current environment. In order to ensure rapid prototyping and early testing, the step from offline to online (real-time) simulation of light distributions has been successfully completed in the driving simulator. The solutions are directly ported to real vehicles to allow further testing with natural road conditions.

Concurrent Use of an In-vehicle Navigation System and a Smartphone Navigation Application

2015 ◽  
Vol 43 (10) ◽  
pp. 1629-1640 ◽  
Author(s):  
Lin Wang ◽  
Da Young Ju
Keyword(s):  
Navigation System ◽  
Phone Call ◽  
Vehicle Navigation ◽  
Navigation Systems ◽  
Secondary System ◽  
Digital Devices ◽  
Vehicle Navigation System ◽  
Concurrent Use ◽  
To Receive ◽  
Mental Overload

In general, it is potentially dangerous for people to use several digital devices while driving because this may cause mental overload. However, it is now common for drivers to use both a smartphone navigation application (app) and an in-vehicle navigation system. We investigated the behavior of 41 drivers who used both navigation systems, and determined their reason for using, and mode of use of these. Results showed that the majority of participants used a mobile phone app as their primary navigation system and the in-vehicle navigation system as the secondary system. They often kept the in-vehicle navigation system turned on, to use as backup in certain situations, such as the loss of battery power for their smartphone or the need to receive a phone call. Practical implications are discussed.

Design and Implementation of Vehicle Navigation Systems

2010 ◽  
pp. 131-143
Author(s):  
Min-Xiou Chen
Keyword(s):  
Wireless Communication ◽  
Navigation System ◽  
System Analysis ◽  
Vehicle Navigation ◽  
Navigation Systems ◽  
System Communication ◽  
Vehicle Navigation System ◽  
Process Route ◽  
System Requirements ◽  
The Difference

Vehicle Navigation System (VNS) is a complicated and integrated system. A reliable vehicle navigation system should integrate the wireless communication technologies, positioning technologies, embedded computer, geographic information database, and so on. The major purpose of the chapter is to help understanding the architecture of vehicle navigation system. This chapter first introduces the system requirements and system analysis, and show the system platform of vehicle navigation system. The system platform can be divided into six components. There are the digital map database, positioning devices, map-matching process, route planning process, route guidance process, human-machine interface, and wireless communication interface. The design issues and system communication of these components are detail illustrated in the chapter. Finally, the authors also present some vehicle navigation systems proposed in the past few years, and show the difference of these systems. The aim of vehicle navigation system is to guide the vehicle along the optimal path from the starting point to destination. A reliable vehicle navigation system can reduce the traffic chaos in the city and improve the transportation delay. In order to achieve reliable vehicle navigation system, the detail system requirements, system analysis, and system architecture are shown in the chapter. Each component of vehicle navigation system is briefly illustrated, and the system communication is also described. The authors also present the architecture of the proposed vehicle navigation system, and show the difference of these systems. Therefore this chapter helps understanding the architecture of vehicle navigation system.

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