Identify Intersections, Curves and Bifurcation Junctions from GPS Traces

2012 ◽  
Vol 253-255 ◽  
pp. 1666-1674
Author(s):  
Ke Hua Su ◽  
Hao Feng Wang ◽  
Yu Zhang ◽  
Hong Cheng
Keyword(s):  
Gps Data ◽  
Route Guidance ◽  
Feature Points ◽  
Novel Approach ◽  
Road Maps ◽  
Gps Traces ◽  
The Cross ◽  
Guidance Systems ◽  
Processing Steps ◽  
Advanced Applications

With the increasing popularity of route guidance systems, it becomes more important for such highly advanced applications as the cross detection to induce road maps with a higher accuracy. In this paper, we present a novel approach to induce higher-precision maps with the help of the GPS data, mainly identify intersections, curves, and bifurcation junctions. Our approach consists of several successive processing steps: Firstly, try to find out areas where the distribution of GPS feature points is very intensive. Then, analyze the characteristic of the intersections and attach some restrictions to filter out the intersections, curves and bifurcation junctions which meet with our conditions. We also propose this method to improve the efficient of our algorithm. Among the new contributions are a creative method that connects both the TargetRegion_Detect algorithm and the AbnormalPointFilter algorithm which helps us identify the three forms of roads mentioned above and induce road maps with a higher accuracy.

A novel approach for generating routable road maps from vehicle GPS traces

2014 ◽  
Vol 29 (1) ◽  
pp. 69-91 ◽  
Author(s):  
Jing Wang ◽  
Xiaoping Rui ◽  
Xianfeng Song ◽  
Xiangshuang Tan ◽  
Chaoliang Wang ◽  
...  
Keyword(s):  
Novel Approach ◽  
Road Maps ◽  
Gps Traces

scholarly journals Automated Information Supply of Worker Guidance Systems in Smart Assembly Environment

2021 ◽  
pp. 235-248
Author(s):  
Gerhard Reisinger ◽  
Philipp Hold ◽  
Wilfried Sihn
Keyword(s):  
Core Competencies ◽  
Manufacturing Enterprises ◽  
3D Cad ◽  
Knowledge Based ◽  
Novel Approach ◽  
Complex Process ◽  
Cad Modelling ◽  
Smart Assembly ◽  
Guidance Systems ◽  
Scientific Challenge

AbstractThe global megatrends of digitization and individualization substantially affect manufacturing enterprises. Assembly workers are exposed to increased process complexity resulting in physical and cognitive workload. Worker guidance systems (WGS) are used to overcome this challenge through output of information regarding what should be done, how it should be done and why it should be done. An unsolved scientific challenge in this context is efficient information supply of WGS. Information such as worker’s instruction texts, pictures or 3D representations are created by employees of the work preparation department and transferred to the WGS. Manual information supply is a time-consuming and complex process, which requires a high (non-value-adding) effort as well as comprehensive knowledge in handling 3D CAD modelling and software programming. This paper presents a novel approach to reduce the required manual effort in information supply process. A knowledge-based model is proposed that enables an automated information supply of WGS in smart assembly environment by means of algorithms and self-learning expert systems, which pursues a holistic and consistent approach without media breaks. The automated approach assists employees of work preparation department, which means they can concentrate on their essential core competencies instead of being busy, for example, creating assembly plans, instruction texts or pictures for individual WGS. Finally, the technical implementation as a software-based proof-of-concept demonstrator and sub-sequent integration into the IT environment of TU Wien Pilot Factory Industry 4.0 is outlined.

scholarly journals Fast Anchor Point Matching for Emergency UAV Image Stitching Using Position and Pose Information

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2007
Author(s):  
Ruizhe Shao ◽  
Chun Du ◽  
Hao Chen ◽  
Jun Li
Keyword(s):  
Image Stitching ◽  
Feature Points ◽  
Point Matching ◽  
Novel Approach ◽  
Aerial Vehicle ◽  
Speed Up ◽  
Anchor Points ◽  
Uav Images ◽  
Uav Image ◽  
Traditional Approaches

With the development of unmanned aerial vehicle (UAV) techniques, UAV images are becoming more widely used. However, as an essential step of UAV image application, the computation of stitching remains time intensive, especially for emergency applications. Addressing this issue, we propose a novel approach to use the position and pose information of UAV images to speed up the process of image stitching, called FUIS (fast UAV image stitching). This stitches images by feature points. However, unlike traditional approaches, our approach rapidly finds several anchor-matches instead of a lot of feature matches to stitch the image. Firstly, from a large number of feature points, we design a method to select a small number of them that are more helpful for stitching as anchor points. Then, a method is proposed to more quickly and accurately match these anchor points, using position and pose information. Experiments show that our method significantly reduces the time consumption compared with the-state-of-art approaches with accuracy guaranteed.

Distributed Route Guidance Systems with Self-Organized Multi-Layered Vector Fields

2005 ◽  
Vol 9 (2) ◽  
pp. 106-113 ◽  
Author(s):  
Kosuke Sekiyama ◽  
◽  
Yasuhiro Ohashi
Keyword(s):  
Vector Fields ◽  
Traffic Signals ◽  
The Self ◽  
Route Guidance ◽  
Traffic Conditions ◽  
Distributed Approach ◽  
Self Organized ◽  
Efficient Route ◽  
Guidance Systems ◽  
Self Organizing

This paper deals with novel distributed route guidance that cooperates with self-organizing control of traffic signal networks. Self-organizing control of traffic signals provides a fully distributed approach to coordinate a number of signals distributed in a wide area based on local information of traffic flows so that split and offset control parameters between traffic signals are adjusted for efficient traffic flow. The self-organizing route guidance systems (SRGS) concept is introduced for efficient route guidance to facilitate offset adjustment of the self-organizing control of signal networks by self-organizing multilayered vector fields. Simulation demonstrates the effectiveness of the proposal under nonstationary traffic conditions.

Feature-Based GDLOH Deformable Registration for CT Lung Image

2013 ◽  
Vol 333-335 ◽  
pp. 969-973
Author(s):  
Yu Han Yang ◽  
Yao Qin Xie
Keyword(s):  
Feature Detection ◽  
Deformable Registration ◽  
Measurement Tool ◽  
Feature Descriptor ◽  
Feature Points ◽  
Scale Invariant ◽  
Clinical Images ◽  
Speeded Up Robust Features ◽  
Matching Process ◽  
Novel Approach

To improve the efficiency and accuracy of the conventional SIFT-TPS (Scale-invariant feature transform and Thin-Plate Spline) method in deformable registration for CT lung image, we develop a novel approach by using combining SURF(Speeded up Robust Features) and GDLOH(Gradient distance-location-orientation histogram) to detect matching feature points. First, we employ SURF as feature detection to find the stable feature points of the two CT images rapidly. Then GDLOH is taken as feature descriptor to describe each detected points characteristic, in order to supply measurement tool for matching process. In our experiment, five couples of clinical images are simulated using our algorithm above, result in an obvious improvement in run-time and registration quality, compared with the conventional methods. It is demonstrated that the proposed method may create a new window in performing a good robust and adaptively for deformable registration for CT lung tomography.

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