By integrating the unique hardware and software technologies offered between our two companies, we believe that we can deliver a feasible mass production solution – Filip Geuens, CEO of Xenomatix
Paris, France, and Leuven, Belgium (PRWEB)
January 05, 2018
The greatest obstacle in the way of autonomous vehicles is their ability to accurately and reliably collect and process environmental data that will keep passengers safe.
This is why, Dibotics and XenomatiX have engaged in open collaboration to jointly elaborate the latest and most promising solution through a solid-state LiDAR data processing system.
A real-time, solid-state LiDAR data processing system is necessary for allowing autonomous cars to be responsive and make sound judgments against high resolution data. By integrating LiDAR and efficient point cloud analysis software, this new solution will give autonomous vehicles the potential to process millions of data points per second through a rich 3D perception of the environment.
“Higher levels of automation of vehicles require a total solution for reliable 3D detection in all circumstances. By integrating the unique hardware and software technologies offered between our two companies, we believe that we can deliver a feasible mass production solution that will satisfy the needs of OEMs, Tiers1 and consumers.” – said Filip Geuens, CEO of XenomatiX.
XenomatiX and Dibotics offer unique key building blocks in the solid-state LiDAR domain.
XenomatiX brings game-changing LiDAR hardware and sensor technology that meets the needs of challenging automotive requirements. This comes from their ability to combine a robust laser-based sensor with a high frame-rate detector to produce reliable 3D and 2D data for the detection of objects and free space.
Dibotics is using this XenomatiX data to create an embedded software solution that can keep up with the LiDAR sensor’s rich data sets. It requires no additional input from IMUs, GPS or wheel encoders which simplifies the integration and development processes, creating a seamless computation of sensor data and real-time processing for autonomous driving.
“The seamless integration of LiDAR hardware and software technologies will play a key part in the future of the…