Cybernet Systems Corporation, a leading innovator in technology, announces its latest patent, System and method for generating precise road lane map data, which represents one of the company’s latest efforts in autonomous logistics.

 Cybernet’s new patent describes an in-vehicle system capable of generating precise, lane-level road map data, which includes a GPS receiver that acquires positional information involved in determining an accurate track along a road path. An inertial sensor provides time local measurement of acceleration and turn rate along the track in three dimensions, while a camera (of a look-ahead or a look-behind variety) captures image data of the road path along that track. A processor receives the local measurement from the inertial sensor and image data from the camera over time, and it improves the GPS receiver’s accuracy through curve fitting by working with multiple tracks along the road path.

“This patent represents a significant amount of team effort,” said Charles Jacobus, Cybernet’s chairman. “We are all about developing solutions across multiple industries, and virtually all those industries are concerned with transportation logistics and the impact it has on their business operations. I cannot wait to see how our work at Cybernet will improve the future efficiency and safety of those operations. This patent is an exciting step forward.”

One example of this invention could involve one or all these items (GPS receiver, inertial sensor and/or the camera) in a smartphone.

The system may later include a transmitter to communicate road map data to a central data repository for post processing to generate precise road map data, which may include lane locations within roads based on data collected from multiple drivers. That central data repository may also receive road map data for post processing when the vehicle passes through a Wi-Fi cloud. This data might include paths around transient road features, such as construction sites and traffic diversions, which would enable data updates for multiple vehicles, which could be autonomous or “driverless.”