The open LiDAR solution will expand the Renesas autonomy ™ Platform and its demonstration will be unveiled at the Dibotics stand at the 2018CES exhibition (Grand Place North, CP-5, French Motor Pavilion)
DECEMBER 18, 2017 Tokyo, France, Paris, France - Dibotics, a pioneer and leader in real-time 3D laser radar processing, today announced that Renesas Electronics Corp. (TSE: 6723), a leading global supplier of advanced semiconductor solutions, Has developed an automotive-grade embedded solution for advanced driver assistance systems (ADAS) and autonomous driving applications for Light Detection and Ranging (LiDAR) processing that enables system builders to deliver low-power and advanced functional safety (FuSa) Real-time 3D mapping system.
Currently, Lidar processing requires an efficient processing platform and advanced embedded software by combining Renesas Technology's high-performance image processing and low-power Automotive R-Car SoCs with Dibotics' 3D Real-Time Location and Mapping (SLAM) technology , SLAM on Chip ™ is available from system builders (Note 1). On-chip SLAM enables 3D SLAM processing required by high-performance PCs on SoCs and enables 3D cartography with LiDAR data without the need for inertial measurements Unit (IMU) and global positioning system (GPS) data.The collaboration enables the realization of real-time 3D mapping systems in automotive systems with low power consumption and advanced functional safety.
In response to the auto-driving era, the automotive electronics market continually optimizes the sensor technology required for autonomous vehicles, including real-time HD perception of the environment, precise vehicle positioning and real-time sensor fusion, etc. LiDAR has become the key sensor for autonomous driving because It senses very accurately the obstacles around the vehicle and controls the vehicle through real-time communication with the electronic control unit (ECU) over alternatives such as cameras and radar The amount of data transmitted by lidar sensing technology is dramatically increasing, This will drive the need for high-performance, real-time processing of vast amounts of data.
Jean-Francois Chouteau, vice president of Renesas Electronics Global ADAS Center, said: "The seamless integration of Renesas Technology and Dibotics technology delivers real-time, efficient solutions for advanced LiDAR data processing at the highest levels of automotive functional safety. For autonomous driving, Renesas Electronics is working with innovative partners to optimize the Renesas autonomy Platform for Renesas end-to-end platforms and we are pleased to announce the collaboration with Dibotics to provide disruptive technologies to the LiDAR market. "
Raul Bravo, CEO and co-founder of Dibotics, said: 'LiDAR sensors will play a crucial role in all ADAS and autopilot functions, a combination that combines Renesas' professional design with Dibotics' unique cutting-edge performance, Helping OEMs, tier-one suppliers and LiDAR manufacturers reduce development costs and accelerate time-to-market, and we are excited to work with market leaders such as Renesas Electronics.
Unlike existing methods, Augmented LiDAR ™ software from Dibotics implements 3D SLAM technology that enables 3D mapping with only LiDAR sensor data, eliminating the need for additional inputs to the IMU, GPS, or wheeled encoder (Note 2), eliminating Additional integration efforts, lower BOM costs and easier development, plus point-by-point classification (Note 3), detection and tracking of moving object shapes, velocities and trajectories, and Multi-LiDAR fusion Note 4).
The high performance of the R-Car enables it to run Augmented LiDAR software from Dibotics, a low-power R-Car that meets the functional safety standards of ISO 26262 (ASIL) for high functional safety. Renesas Electronics R-Car is a breakthrough Part of the Renesas autonomy ™ Platform for ADAS and Autopilot, provides a complete end-to-end solution from cloud to sensing and vehicle control.
Dibotics to Present Augmented LiDAR Solutions at CES 2018 (North Central Plaza, CP-5, French Motor Pavilion), January 9-12, 2018 in Las Vegas.
(Note 1) On-chip SLAM (Instant Positioning and on-chip mapping): SLAM is a computational algorithm that generates and updates maps of unknown environments while tracking the position of the vehicle SLAM technology implemented on SoC with on-chip SLAM 2) The encoder measures the rotation of the wheel. The measurement gives the car's speed. (Note 3) Automatically classifies each point provided by LiDAR without using machine learning, prior knowledge or map data. (Note 4) Combines multiple LiDAR data, no calibration or synchronization required