Ximantis, a Swedish start-up company, has entered the Autonomous Vehicles and Advanced Driver Assistance Systems (ADAS) software platform by introducing its Stochastic Re-construction module.

The module, which maintains a direct communication with the vehicle's software, has the ability to integrate with any number of available data sources and resolve, in real time, local vehicle interactions.

The company claims that its module has the potential to minimise uncertainty and eminent risk by anticipating moves and reacting immediately.

"Our cutting-edge research advances technology in anticipating traffic patterns and providing intelligent traffic solutions."

Ximantis developed this algorithm based on its patent-pending process that can forecast the traffic events more than 30 minutes into the future.

Ximantis Founder and CEO Alexandros Sopasakis said: "I'm very happy to announce our innovative approach to autonomous driverless software systems with the Stochastic Re-construction module.

"Our cutting-edge research advances technology in anticipating traffic patterns and providing intelligent traffic solutions, placing Ximantis at the forefront of the current technology revolution."

The company further added that by incorporating the Stochastic Re-construction module technology to Connected Cars and Autonomous Vehicle software systems could give tangible benefits.

Sopasakis further added: “A lot of companies announce mergers and acquisitions in the hopes of possibly creating new value in the future.

“At Ximantis, with US and foreign patents applied for, we have already tested this technology in actual traffic.

"We can demonstrate its value right now.

"So we seek to get the word out.

"Our technology can be implemented on many different platforms.

“As a next step, we are interested in pairing the module with other complementary technologies and establish Ximantis as the important strategic partner in the field as it truly ought to be."

The Swedish start-up further explained that the vehicle's traffic behavior / congestion navigation can be accurately resolved in real time in an elegant way by incorporating its module.