Road Departure Detection Using State Diagrams and Statistical Hypothesis Tests in Map Matching

Statistical Detection of LSB Matching Using Hypothesis Testing Theory

This paper investigates the detection of information hidden by the Least Significant Bit (LSB) matching scheme. In a theoretical context of known image media parameters, two important results are presented. First, the use of hypothesis testing theory allows us to design the Most Powerful (MP) test. Second, a study of the MP test gives us the opportunity to analytically calculate its statistical...

Map-Matching Integrity using Multi-Sensor Fusion and Multi- Hypothesis Road Tracking

Efficient and reliable map matching algorithms are essential for Advanced Driver Assistance Systems. While most of the existing solutions fail to provide trustworthy outputs when the situation is ambiguous (road intersections, roundabouts, parallel roads ...), we present in this paper a new map-matching method based on a multi-hypothesis road tracking that takes advantage of the geographical da...

Multi-hypothesis Map-Matching using Particle Filtering

This paper describes a new Map-Matching method relying on the use of Particle Filtering. Since this method implements a multi-hypothesis road-tracking strategy, it is able to handle ambiguous situations arising at junctions or when positioning accuracy is low. In this Bayesian framework, map-matching integrity can be monitored using normalized innovation residuals. An interesting characteristic...

Matching Hypothesis Text in Diagrams and Essays

Road Data Updating Using Tools of Matching and Map Generalization

It is one of the important ways for GIS data updating based on map generalization. This paper analyzes the main steps for road data updating based on map generalization. As the core of this updating process, matching method considering the levels analyses and selective omission based on mesh density are developed. The approach for road data updating based on these two tools is proposed, which i...