Nvidia is announcing that it is acquiring DeepMap, a company specializing in the creation of high definition maps, which helps autonomous vehicles to obtain a much more precise location than with conventional maps to know where they are, being maps that are also constantly updated, also addressing current road conditions to be able to function more efficiently and safe.
Ali Kani, vice president and general manager of Automotive at NVIDIA, points out it’s a statement that “the acquisition is an endorsement of DeepMap’s vision, technology and unique people,” that under the Nvidia umbrella, “DeepMap is expected to expand our mapping products, help us scale mapping operations around the world and expand our autonomous driving experience. ‘
Consider that these maps should scale efficiently to the fleet of autonomous vehicles, through rapid processing and minimal data storage, and thus should be able to function in autonomous vehicles anywhere in the world.
Behind the company, based in the United States, are people from other technology companies, including Google, Apple and Baidu, among others. Nvidia believes that:
The US-based company has developed a high definition mapping solution that meets these requirements and has already been validated by the audiovisual industry with a wide range of potential customers around the world.
Input, Nvidia It will focus on developing new capabilities and services, both for current partners and those to come later, although it will also benefit Nvidia Drive, the company’s continuous updates platform for autonomous vehicles:
DeepMap technology will reinforce the mapping and location capabilities available in NVIDIA DRIVE, ensuring autonomous vehicles always know precisely where they are and where they are going.
As in these cases, the process is expected to end once the approval of the regulatory authorities is obtained, and this is expected to happen during the third quarter of this year.
In this way, Nvidia will have a new asset that will allow autonomous vehicles to operate more safely on the streets, taking into account their locations and conditions, relevant and high-interest information so that they can operate more safely. effective and accurate.
More info / image credit: Nvidia Blog