French ADAS IDE platform provider Intempora has integrated Californian 4D lidar developer Aeva’s sensors into its RTMaps software platform. RTMaps is a real-time development, testing and benchmarking environment for multi-sensor applications for ADAS and autonomous driving.

Aeva 4D lidar sensors use Frequency Modulated Continuous Wave (FMCW) technology to provide sensing and perception capabilities beyond legacy time-of-flight 3D lidar sensors.

“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,” said 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’s 4D lidar technology with instant velocity detection allows automated vehicles to detect and classify objects with higher confidence across longer ranges,” said 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 middleware with a software stack to develop, test and deploy algorithms and software functions for mobility. RTMaps allows developers to develop and test multi-sensor applications for ADAS and autonomous vehicles. The software integrates large amounts of data generated by sensors such as cameras, radars, lidars, GNSS, and IMU in the field of complex real-time systems such as autonomous driving.

Aeva’s 4D lidar capabilities include: instant velocity detection, the ability to detect velocity directly for each point in addition to 3D positioning to locate objects in space and speed; ultra long range performance, detecting and tracking dynamic objects such as oncoming vehicles and other moving objects at distances up to 500 meters; and ultra resolution, with real-time camera-level imaging providing up to 20 times the resolution of 3D lidar sensorsr.

The sensors also provide: semantic segmentation, with real-time segmentation enables the detection of roadway markings, drivable regions, vegetation, road barriers, as well as detecting road hazards like tire fragments at up to twice the distance of 3D lidar sensors; and 4D localisation, with per-point velocity data enabling real-time vehicle motion estimation with six degrees of freedom to enable accurate vehicle positioning and navigation without the need for additional sensors, like IMU or GPS.