Solid state lidar has range of 150m+, says RoboSense

At CES 2021, RoboSense announced the standard operating procedure (SOP) version of its automotive-grade, MEMS solid-state lidar, RS-LiDAR-M1.

Features include a ranging capability of more than 150m for 10 per cent reflectivity targets and a range of up to 200m for detecting vehicle objects. The average resolution of M1 is 0.2 x 0.2 degrees (horizontally and vertically) with a wide field of view of 120 x 25 degrees  (horizontally and vertically) to create a high resolution of 0.75M pixel points per second.

The RS-LiDAR-M1 has reduced the minimum detection distance to less than 0.5m by upgrading the optical system design and signal processing system. RoboSense has innovated the signal processing algorithms and optical system design, enabling the M1 to distinguish laser emission signals from ambient lights, without interference from strong sunlight.

M1 filters laser pulses from other lidars to prevent crosstalk. The SOP version is claimed to be the world’s thinnest automotive lidar, measuring 108mm in depth, 110mm wide and 45mm high for ease of integration into the vehicle body.

Power consumption is less than 15W. Supporting functions include over-the-air firmware updates, blockage detection, smart cleaning, smart heating, performance detection, power management and network management.

RoboSense has adopted VDA6.3 as the basis of project management and control, implemented IATF16949 quality management system and the ISO26262 standard, and has integrated ISO16750 and other automotive-grade reliability specifications, to carry out a series of verification tests on M1. Tests include random mechanical vibration, mechanical shock, splash water, stone impact, high and low temperature storage and operation, solar radiation, EMC, chemical corrosion and salt spray. The cumulative test time of all M1 test samples has exceeded 300,000 hours, reports the company. The longest-running prototype has been in continuous operation for more than 700 days, and the total road test mileage has exceeded 200,000km.

Founded in 2014, RoboSense provides smart lidar sensor systems, incorporating lidar sensors, artificial intelligence (AI) algorithms and IC chipsets, that transform conventional 3D lidar sensors to full data analysis and comprehension systems.

http://robosense.ai/

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Automotive ASIC integrates AI to monitor the driver

Believed to be the world’s first dedicated driver monitoring ASIC, the OAX8000 has an integrated artificial intelligence (AI) neural processing unit, an image signal processor and a DDR3 memory.

The ASIC by OmniVision Technologies is optimised for entry level, standalone driver monitoring systems (DMS). The OAX8000 uses a stacked-die architecture, making it the industry’s only DMS processor with on-chip DDR3 SDRAM, claims the company. Memory capacity is 1Gbyte. It is also believed to be the only dedicated DMS processor to integrate a neural processing unit (NPU) and image signal processor (ISP), which provides dedicated processing speeds up to 1.1 trillion operations per second to allow for eye gaze and eye tracking algorithms. There is also 1k multiply-accumulator MAC (units) of convolutional neural network (CNN) acceleration, which, with the integrated SDRAM, enable the low power consumption. Combined with the OmniVision automotive image sensor, it consumes just 1W in typical conditions. The level of integration also reduces the board area for the engine control unit (ECU), adds OmniVision Technologies.

From 2022, all new cars in the EU will be required to have a DMS camera.

“Most DMS processors on the market today are not dedicated to this application, requiring added circuitry to perform other system functions that consumes more power, occupies more board space and doesn’t allow room for on-chip SDRAM,” said Brian Pluckebaum, automotive product marketing manager at OmniVision.   industry’s most optimized solution.”

The OAX8000’s on-chip NPU is supported by the TensorFlow, Caffe, MXNet and ONNX tool chains. The ASIC embeds quad Arm Cortex A5 CPU cores with Neon technology for accelerated video encoding/decoding and on-chip video analytics algorithms, as well as hardware for image processing, video encoding and RGB/IR processing. The high dynamic range (HDR) processing capability allows the ASIC to accept input from RBG/IR image sensors and to support high quality output, for videos taken during the day or at night, in conditions with widely contrasting bright and dark images. The integrated video encoder accepts up to 5Mpixel captures from OmniVision’s automotive image sensors, and outputs up to 2k resolution video at 30 frames per second (fps).

Boot-up time for the OAX8000 is significantly faster than its nearest competitor, claims OmniVision. The rapid start up eliminates the delay between ignition and activation of the DMS camera and the ASIC also supports secure boot features for cybersecurity.

The ASIC can also be used in processing vehicle occupant detection algorithms, such as distinguishing a baby from a grocery bag, and providing alerts when objects are left behind in the vehicle. Other uses are in automotive video security systems to perform functions such as FaceID, as well as preset driver comfort settings (e.g. seat position) that are activated when the DMS scans the driver’s face.

Samples of the new OAX8000 ASIC are available now in a BGA196 package. It is AEC-Q100 Grade 2 certified for automotive applications.

http://www.ovt.com

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R-Car SoC has been tailored for ASIL D automated driving

Renesas Electronics offers the R-Car V3U, an ASIL D SoC for advanced driver assistance systems (ADAS) and automated driving (AD) systems. It delivers 60 Terra operations per second (TOPS) with low power consumption for deep learning processing. It also offers up to 96,000 DMIPS. The R-Car V3U is built for the performance, safety, and scalability of ADAS and AD architectures driving next-generation autonomous vehicles, says Renesas.

The R-Car V3U uses the R-Car Gen 4 architecture and can scale from entry-level NCAP applications up to highly automated driving systems, says the company.

Automated driving systems require functional safety up to ASIL D which is the highest and most stringent automotive safety integrity level specified under the ISO 26262 standard for road vehicles. The R-Car V3U SoC integrates safety mechanisms that provide high coverage with fast detection and response for random hardware faults.

It delivers deep neural network (DNN) and artificial intelligence / machine learning (AI/ML) functions. The architecture is capable of handling neural networks for automotive obstacle detection and classification tasks while maintaining 60 TOPS with low power consumption and an air cooling system, adds Renesas.

The R-Car V3U also offers a range of programmable engines, including DSP for radar processing, multi-threading computer vision engine for traditional computer vision algorithms, image signal processing to enhance image quality, and additional hardware accelerators for key algorithms such as dense optical flow, stereo disparity, and object classification.

Renesas has developed an open and integrated development environment (IDE) that enables customers to take advantage of the R-Car built-in hardware, as well as low power consumption and deterministic real-time software to enable fast time to market for computer vision and deep learning-based designs.

Debugging and tuning tools for heterogeneous multi-core hardware and a comprehensive set of example applications and online education resources allows engineers at all levels to jumpstart the design process. There are also qualified compilers and code generators for compliance with functional safety and cyber security requirements.

The R-Car V3U can be combined with Renesas’ low power RH850 microcontroller, integrated power management ICs and power transistor devices for ADAS and AD engine control units (ECUs).

Samples of the R-Car V3U SoC are available now. Mass production is planned for Q2 2023.

http://www.renesas.com 

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Skyworks introduces front-end module, certified to AEC-Q104

For automotive vehicle-to-vehicle (V2V) and vehicle-to-everything (V2X)applications, the SKYA21043 is the latest integrated, 5GH front-end module from Skyworks. It incorporates a 5GHz single-pole, double-throw (SPDT) transmit/receive switch, a 5GHz high gain, low noise amplifier (LNA) with bypass, and a 5GHz power amplifier (PA) intended for high-power 802.11p DSRC (5.85 to 5.925GHz) at +105 degrees C applications and systems.

It is qualified to AEC-Q104 (Grade 2) for operation at -40 to +105 degrees C. The SKYA21043’s is rugged for automotive applications including V2V and V2X covering smart antennae, compensators, and roadside units for automotive infrastructure, backhaul and cellular small cells. Its characteristics include 8kV ESD protection on antenna output port and integrated logarithmic detector with wide dynamic range and is sensitive, jammer-tolerant (above 10dBm IIP3.

The device boasts +29dBm output power, which makes it one of the highest power devices available today, claims Skyworks.

The compact, conformally-shielded land grid array (LGA) package size will reduce front end board space by more than 50 per cent. The product is supported by the automotive PPAP process.

The compact, conformally shielded 24-pin package measures 3.0 x 5.0mm and is certified to MSL3, 260 degrees C, per JEDEC J-STD-020.

http://www.skyworksinc.com

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