Press Releases

Aeva announce 4D sensors LiDAR integrated into intempora RTMaps

October 20, 2022

Posted by: Shriya Raban

Intempora, a dSPACE company and specialist in advanced software solutions for autonomous driving, and Aeva, a specialist in sensing and perception systems, has announced that Aeva’s Aeries 4D LiDAR sensors, including Aeries II, have been integrated into Intempora’s RTMaps (Real-Time Multisensor applications) software platform. RTMaps allows engineers to accelerate the development and deployment of next generation automated driving solutions including Advanced Driver Assistance Systems (ADAS) and fully autonomous vehicles.

“Bringing Aeva’s next generation 4D LiDAR to the RTMaps platform is a significant step forward for developers working on the forefront of automated vehicle technology,” says James Reuther, vice president of technology at Aeva. “With this integration, they are now able to take advantage of Aeva’s unique capabilities and 4D data in the integration of ADAS and autonomous vehicle platforms.”

Aeva 4D LiDAR sensors use Frequency Modulated Continuous Wave (FMCW) technology to deliver unique sensing and perception capabilities not possible with legacy time-of-flight 3D LiDAR sensors to enable the next wave of driver assistance and autonomous vehicle capabilities, including:

“Aeva’s 4D LiDAR technology with instant velocity detection allows automated vehicles to detect and classify objects with higher confidence across longer ranges,” says Nicolas du Lac, CEO at Intempora. “We are pleased to enable Aeva on the RTMaps platform and provide our users and customers with access to the next generation of sensing and perception technology.”

RTMaps is a reliable middleware with a complete software stack to develop, test and deploy algorithms and advanced software functions for mobility. Trusted by OEMs and Tier 1 suppliers for over 20 years, RTMaps allows developers to easily develop, test, benchmark and validate multi-sensor applications for ADAS and autonomous vehicles. The software efficiently integrates and manages large amounts of data generated by different sensors such as cameras, radars, lidars, GNSS, and IMU, especially in the field of complex real-time systems like autonomous driving where large amounts of data are collected on the road.

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