The Ximantis Algorithm

From the very beginning our Algorithm was designed with the individual driver in mind. Instead of designing based on the traditional road sensor input, we chose to build our model on a moving platform: a vehicle along with its close proximity moving neighbors. We came up with a quite elegant solution to a very complex problem, worthy of scientific publications, a filing with the patent office and the eventual creation of Ximantis.

Due to such architecture, our technology can have a global focus, a local focus or both. The global focus managed by our cloud infrastructure through the Ximantis Forecaster App, deals with an entire trip from start to finish and suggests all the traffic moves in between, destined for Connected Cars and human drivers. Our local focus managed through the SRM navigation module, self-contained part and parcel of an Autonomous vehicle, deals with local road-space specifics for effective Autonomous vehicle navigation.

Lastly, been able to completely resolve local vehicle interactions and forecast an optimal driving strategy, while designed for accident avoidance, our Algorithm through the Ximantis Cloud Platform and the SRM combination makes for an intuitive partner in the current technology revolution with Connected Cars, Autonomous Vehicles and ADAS.


Stochastic Re-construction Module

Another innovative solution by Ximantis, it allows the option to engage the predictive powers of our algorithm towards the local environment around an Autonomous Vehicle for its precise navigation.

The Stochastic Re-construction Module or SRM is an Intelligent, Anticipation-based, navigation platform for Autonomous Vehicles, built upon our patent-pending technology. The SRM module acts independently and is part of the car's navigation systems. Its key characteristic element is Anticipation. It differentiates Ximantis from the whole block of current competitors and other hopefuls in this arena.

The Ximantis SRM minimizes uncertainty by anticipating eminent risk. Stochastically analyzes and reconstructs in real time the present and future dynamics of the local traffic environment. This innovation allows precise navigation based on Safety and Efficiency so you can relax and enjoy the journey.


Fine Granularity

Exceptional ability to analyze and forecast the resulting motion for every single vehicle on the road.

2% of Data Threshold

Reliable results with as little as 2% of actual traffic data input.

Scalable Parallelization

The algorithm is empowered to handle extreme traffic data loads in real time.

SMART INNOVATIONS – Intelligent Traffic Solutions

Look-Ahead Value Warnings of Traffic Changes Up to 30 min. in Advance
M2M functionality For Autonomous Vehicles / Driver Assistance Technologies
Departure Timer Analyser for the Optimum Departure Time
Accurate Forecaster Even without the benefit of Historical Patterns or Social Networking Input