Quanergy, Civil Maps announce integrated autonomous vehicle software for self-driving cars

Quanergy, Civil Maps announce integrated autonomous vehicle software for self-driving cars

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Quanergy Systems and Civil Maps have announced an integrated autonomous vehicle software for self-driving cars. (Picture for illustration purpose only)

US: Quanergy Systems has announced an integrated autonomous vehicle software with Civil Maps. The software will be used to provide cognition for self-driving cars. Quanergy’s innovative LiDAR technology will power Civil Maps’ next generation Atlas DevKit, advancing the ability of self-driving vehicles to perceive and interact with the world around them.

Civil Maps’ Atlas DevKit provides a low-cost, high-precision, geospatial data collection system that is essential for safe and effective self-driving vehicles.

It integrates Quanergy’s M8 LiDAR sensor with cameras, an inertial measuring unit, and wired and wireless communication in one self-contained package. The unit is an inexpensive, commercial off-the-shelf platform that is compelling for new market entrants and near-survey grade requirements.

“In order to operate safely and effectively, self-driving vehicles need to maintain an accurate 3D map of their surroundings at all times,” said Dr. Louay Eldada, Chief Executive Officer, Quanergy Systems.

“This integrated solution will combine Quanergy’s unmatched LiDAR spatial sensing technology with Civil Maps’ high-precision localization and mapping capabilities. It demonstrates Quanergy’s leadership in supplying the highest quality, most affordable LiDAR system to push the boundaries of innovation in the self-driving industry.”

“Our Atlas DevKit effectively collects and processes data efficiently from the sensor systems of self-driving vehicles,” said Civil Maps CEO Sravan Puttagunta. “It’s crucial that self-driving vehicles have the most accurate information from high-resolution 3D sensors such as advanced LiDAR, which is why we are proud to use Quanergy’s innovative LiDAR technology. The Atlas unit will equip self-driving vehicles with the most accurate and reliable information to safely navigate any environment, at an affordable price point.”

Civil Maps’ Context Engine, which brings together the company’s proprietary localization technology and its 3D semantic mapping capabilities, enables autonomous vehicles to contextualize their environments; it is able to do so with remarkably low computing power and highly efficient map data transfer.

Quanergy’s sensor, which has a 360-degree field of view and a measurement range of 200 meters, is a proven LiDAR powerhouse made and tested for 3D mapping, security and harsh industrial environments.