As the automotive market prepares for the autonomous-driving era, optimizing the sensor technology required for autonomous vehicles, including real-time, high-definition perception of the environment, precise localization of the vehicle, and real-time sensor fusion, remains a challenge. Lidar has become a key sensor, providing higher-precision obstacle sensing around the vehicle and real-time electric control unit (ECU) management for vehicle control compared with alternative methods such as cameras and radars. The rapid increase in the amount of data delivered by new Lidar sensor technologies is driving a growing need for high-performance real-time processing of all this data.
Unlike existing approaches, Dibotics’ Augmented Lidar software realizes 3D SLAM technology that only requires data from the Lidar sensor to achieve 3D mapping. It does not require additional input from IMUs, GPS, or wheel encoders, which eliminates extra integration efforts, lowers bill-of-material (BOM) costs and simplifies development. In addition, the software realizes point-wise classification, detection and tracking of shape, speed, and trajectory of moving objects, and Multi-Lidar fusion.
The performance headroom of the R-Car SoC enables it to run Dibotics' “Augmented” Lidar software. The R-Car has low power consumption and also meets the ISO 26262 (ASIL) FuSa standard for high functional safety. Renesas R-Car is part of the ground-breaking Renesas autonomy Platform for ADAS and automated driving that delivers total end-to-end solutions scaling from cloud to sensing and vehicle control.
Dibotics will demonstrate the Augmented Lidar solution during CES 2018 (Central Plaza North Hall, CP-5, France Auto Pavilion), to be held January 9-12, 2018 in Las Vegas.
More information: http://www.dibotics.com/