A Road Departure Decision Method Using State Diagrams and Statistical Hypothesis Tests in Map Matching

Road Departure Avoidance System Based on the Driver Decision Estimator

In this paper a robust road departure avoidance system based on a closed-loop driver decision estimator (DDE) is presented. The main idea is that of incorporating the driver intent in the control of the vehicle. The driver decision estimator computes the vehicle look ahead lateral position based on the driver input and uses this position to establish the risk of road departure. To induce a risk...

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

Multivariate Statistical Analysis Decision-making Hybrid Method for Road Traffic Safety Evaluation in Iran

Obviously, improving the road safety and the efficient allocation of limited resources to the provinces according to their ranking should be done. This paper presents a hybrid method of multivariate statistical analysis-decision making to evaluate Iran road traffic safety. In order to solve the problems of road traffic safety, a macroscopic evaluation and traffic safety level classification in ...