Dibotics, a world leader in advanced semiconductor solutions and a pioneer and leader in real-time 3D lidar processing, announced that the two companies have jointly developed Advanced Driver Assistance Systems (ADAS) and Automotive-grade embedded solution for autopilot applications for light detection and ranging (LiDAR) processing. This collaboration enables system manufacturers to implement real-time 3D mapping systems with low power consumption and advanced functional safety (FuSa).
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Currently, lidar processing requires an efficient processing platform and advanced embedded software. By combining Renesas Electronics' high-performance image processing technology with low-power automotive R-Car SoC with Dibotics' 3D real-time positioning and mapping (SLAM) technology, system manufacturers can offer SLAM on ChipTM (Note 1). On-chip SLAM enables 3D SLAM processing on high-performance PCs on SoCs and enables 3D graphics with LiDAR data without the use of inertial measurement unit (IMU) and Global Positioning System (GPS) data. This collaboration makes it possible to implement real-time 3D graphics systems with low power consumption and advanced functional safety in automotive systems.
To meet the advent of the era of autonomous driving, the automotive electronics market continues to optimize the sensor technology required for autonomous vehicles, including real-time HD perception of the environment, precise positioning of vehicles and real-time sensor fusion. LiDAR has become a key sensor for autonomous driving because it accurately senses obstacles around the vehicle and controls the vehicle by communicating in real time with an electronic control unit (ECU), which is superior to alternative methods such as cameras and radar. The amount of data transmitted through lidar sensing technology is growing dramatically, which will drive the need for high-performance, real-time processing of massive amounts of data.
Jean-Francois Chouteau, vice president of Renesas Electronics' global ADAS Center, said: "The seamless integration of Renesas Electronics and Dibotics technology enables real-time, efficient solutions for advanced LiDAR data processing with the highest level of automotive functional safety. For autonomous driving, Renesas Electronics is optimizing its Renesas autonomy Platform with its innovative partners, and we are pleased to announce a partnership with Dibotics to provide disruptive technology for the LiDAR market."
Raul Bravo, CEO and co-founder of Dibotics, said: "The LiDAR sensor will play a vital role in all ADAS and autonomous driving functions. This collaboration combines the professional design of Renesas Electronics with the unique cutting-edge performance of Dibotics. This helps OEMs, Tier 1 suppliers and LiDAR manufacturers reduce development costs and speed time-to-market. We are pleased to work with market leaders like Renesas Electronics."
Unlike existing methods, Dibotics' Augmented LiDARTM software implements 3D SLAM technology, which requires only LiDAR sensor data to achieve 3D mapping. It eliminates the need for additional inputs from IMU, GPS or wheel encoders (Note 2), eliminating additional integration effort, reducing BOM cost and simplifying development. In addition, the software implements point-by-point classification (Note 3), detection and tracking of the shape, velocity and trajectory of moving objects, and Multi-LiDAR fusion (Note 4).
R-Car's high performance enables it to run Dibotics' Augmented LiDAR software. The R-Car has low power consumption and is compliant with ISO 26262 (ASIL) functional safety standards for high functional safety. Renesas Electronics R-Car is part of the groundbreaking Renesas autonomyTM Platform for ADAS and autonomous driving, offering a comprehensive end-to-end solution from cloud to sensing and vehicle control.
Dibotics will present the Augmented LiDAR solution at CES 2018 (Central Plaza North Hall, CP-5, French Motorsport) in Las Vegas, January 9-12, 2018.
(Note 1) On-chip SLAM (Instant Location and On-Chip Mapping): SLAM is a computational algorithm that generates and updates a map of an unknown environment while tracking the location of the vehicle. On-chip SLAM implements SLAM technology on the SoC.
(Note 2) The wheel encoder measures the rotation of the wheel. This measurement gives the speed of the car.
(Note 3) Automatic classification of each point provided by LiDAR without using machine learning, previous knowledge or map data
(Note 4) Combine multiple LiDAR data in real time without calibration or synchronization
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