Route guidance system interface using road sign.

PaRE: A System for Personalized Route Guidance

The turn-by-turn directions provided in existing navigation applications are exclusively derived from underlying road network topology information, i.e., the connectivity of edges to each other. Therefore, the turn-by-turn directions are simplified as metric translation of physical world (e.g. distance/time to turn) to spoken language. Such translation that ignores human cognition of the geogra...

Road sign classi ® cation using Laplace kernel

Driver support systems (DSS) of intelligent vehicles will predict potentially dangerous situations in heavy trac, help with navigation and vehicle guidance and interact with a human driver. Important information necessary for trac situation understanding is presented by road signs. A new kernel rule has been developed for road sign classi®cation using the Laplace probability density. Smoothin...

Multiclass Road Sign Detection using Multiplicative Kernel

We consider the problem of multiclass road sign detection using a classification function with multiplicative kernel comprised from two kernels. We show that problems of detection and within-foreground classification can be jointly solved by using one kernel to measure object-background differences and another one to account for within-class variations. The main idea behind this approach is tha...

Road sign classification using Laplace kernel classifier

Driver support systems of intelligent vehicles will predict potentially dangerous situations in heavy traffic, help with navigation and vehicle guidance and interact with a human driver. Important information necessary for traffic situation understanding is presented by road signs. A new kernel rule has been developed for road sign classification using the Laplace probability density. Smoothing...

Intelligent Route Guidance