Toyota is introducing its new mapping technology for autonomous vehicles at the upcoming CES show.

Plenty of pundits, analysts and even automakers are predicting the age of the autonomous car is hurtling toward us. As the aforementioned makers grapple with the various issues, Toyota has designed a system to improve and accelerate the mapping of U.S. roads needed to put the self-drivers on the road.

Toyota’s new system uses camera-equipped production vehicles to gather road images and vehicle positional information. This information is sent to data centers, where it is automatically pieced together, corrected and updated to generate high precision road maps that cover a wide area.

The new technology, which Toyota says will be available in vehicles in 2020, will provide accurate measurements to within two inches. The maker plans to debut the new system at CES 2016 in Las Vegas next month.

The Japanese maker’s system pairs cameras and GPS data to map roads to provide the most up-to-date information. Currently efforts rely on three-dimensional laser scanners to do the mapping. The process is incredibly accurate, but takes a lot of time so updating the maps will be infrequent, which could cause problems.

By using the camera-based system in many more vehicles, Toyota can get regular mapping updates to keep the system current. It will triangulate the data it receives from vehicles to improve the accuracy of the maps.

Bosch and TomTom are partnering to produce the highly detail maps needed for autonomous driving.

(German makers team up to buy autonomous vehicle mapping company. For more, Click Here.)

While initial use of the system is expected to be limited to expressways, future development goals include expanding functionality to cover ordinary roads and assist in hazard avoidance. Toyota will also seek to collaborate with mapmakers, with the goal of encouraging the use of high precision map data in services offered by both the public and private sectors.

The mapping technology is part of Toyota’s larger autonomous vehicle program, the Mobility Teammate Concept, introduced in October. The idea behind it is to bring self-driving vehicles to the market without losing the enjoyment and fun often associated with driving.

To that end, the Mobility Teammate Concept envisages a driver-car relationship based on a shared purpose, Toyota says, “somewhat like a relationship between close friends who alternately watch over each other and help each other out.”

Toyota will continue to develop of technologies that aid the spread of automated driving technologies, with the aim of realizing a society where mobility is synonymous with safety, efficiency, and freedom.

(Click Here for details about BMW’s new gesture control technology.)

The move comes at a time when the competition to be seen as at the vanguard of autonomous technology is becoming heated. General Motors, Ford, Nissan and a spate of other makers have all issued pronouncements that they’ll be introducing self-driving vehicles in coming years.

Even the business of mapping the world’s roadways is beginning to heat up. BMW, Audi and Mercedes-Benz have formed an unusual alliance that could give them a leg up when autonomous vehicles start to roll into showrooms in the coming decade.

BMW, Audi and Mercedes have teamed up to deliver the winning $2.8 billion bid to buy Nokia’s next-generation mapping business. They beat out rivals in both Silicon Valley and in China who had hoped to purchase the Nokia subsidiary, known as HERE, which is capable of producing much more details maps than those currently used by automotive navigation systems.

Auto suppliers are jumping into the fray as well on the mapping front. Bosch and GPS-maker TomTom are pairing up to produce the highly detailed maps for autonomous or semi-autonomous. The companies are using a layered mapping system that is correct to the nearest decimeter.

(To see more about Bosch and TomTom’s efforts to create more accurate maps, Click Here.)

The traditional base navigation layer is used to calculate routes from A to B, including the sequence of roads to be driven. The localization layer uses a novel-positioning concept providing highly accurate map data, which the automated vehicle uses to accurately calculate its position within a lane.