IoT

Analog Devices and Momenta partner for HD maps in autonomous vehicles

Fri, Jan 11, 2019

High definition (HD) maps are a critical element of autonomous driving and must deliver accurate, real-time information to help safely guide the vehicle to its destination. Announcing a collaboration with Momenta, an autonomous driving technology company based in China, Analog Devices will develop HD maps in autonomous vehicles. Analog Devices’ inertial measurement units (IMUs) will be used to improve the mapping system and technology upgrades in Momenta’s L3 freeway ramp-to-ramp and L4 full autonomy driving mapping software.

Under poor weather conditions, or when a GPS signal is lost, an IMU delivers mapping output. Analog Devices’ IMUs will enhance Momenta’s mapping software to meet the demanding accuracy requirements of HD maps. Analog Devices points out that its IMUs exceed the value/performance ratio of higher cost alternative sensors based on fibre optic gyro or laser gyro technologies.

Momenta’s vision-based semantic HD maps are crowdsourced, highly accurate and frequently updated. They provide map update and localisation services. Momenta is also able to leverage modules mounted on taxis, trucks and buses to create a

Momenta’s team includes experts on computer vision and deep learning, including one of the authors of Faster R-CNN and ResNet, the influential deep learning network.

Analog Devices has more than 30 years of experience in MEMS inertial sensor design. Its MEMS IMUs have been applied in the avionics and smart agriculture sectors, which have similar requirements to those for autonomous driving. Analog Devices’ MEMS IMUs are capable of maintaining critical specifications such as bias, sensitivity, and cross-axis sensitivity under all conditions, including time variation, shock, vibration, and temperature conditions.

http://www.analog.com

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Biosensor module integrates PPG and ECG for mobile use

Thu, Jan 10, 2019

To deliver both photoplethysmogram (PPG) and electrocardiogram (ECG) measurements for health monitoring from a mobile, battery-powered device, Maxim Integrated Products has unveiled the MAX86150 at CES.

It is believed to be the first biosensor module to comprise internal LEDs, photodetectors and an ECG analogue front-end (AFE) to provide FDA-certifiable PPG and ECG performance in compact, power-saving designs.

Designed for mobile phones, laptops, tablets and smart speakers, it delivers synchronised PPG and ECG measurements without using two separate biosensors that together consume more board space and power than a mobile device can typically afford. As well as space, the design challenge has been to achieve high accuracy in the measurements, particularly in cases where sensor sensitivity might be impacted by low perfusion levels or dry skin.

The MAX86150 overcomes these challenges, sampling both PPG and ECG simultaneously to provide the highest sensitivity of pulse transit time. To reduce battery drain, the module can be shut down through software with near-zero standby current, allowing the power rails to remain powered at all times.

The MAX86150 is available in a 3.3 x 6.6 x 1.3mm, 22-pin optical module.

The module is accurate with common mode rejection ratio (CMRR), a measurement of noise rejection, of at 136dB, the module’s; the highest on the market, says Maxim. Its 100mA-capable, high-dynamic-range LED driver enables higher sensitivity on an array of skin types. In addition, a low-impedance contact for the ECG sensor enables more accurate measurements, even in cases of dry skin, says the company.

It minimises battery drain with low shutdown current of 0.7 microA typical and low power consumption extends battery life compared to competitive solutions.

The module’s dry electrode operation eliminates the need for gels, fluids and sticky or wet pads on other parts of the body to obtain accurate readings.

The MAX86150 is available now and the company also offers the MAX86150EVSYS# evaluation kit.

http://www.maximintegrated.com

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Osram and GaN Systems develop fast laser driver for lidar

Tue, Jan 08, 2019

Optoelectronics specialist, Osram Opto Semiconductors, and GaN power semiconductor manufacturer, GaN Systems have collaborated on laser driver technology that enables longer range and higher resolution lidar architectures.

Osram’s laser portfolio for lidar includes the SPL DS90A_3 with a peak power of 120W at 40A. The company plans to release a four-channel SMT laser in 2019. The additional channels increase the field of view (FoV) and total peak power, with each channel being capable of generating 120W.

One of the issues with lidar technology has been its inability to transmit lasers at short pulses, while maintaining high peak power, which is necessary to ensure that the lidar with a long range and high resolution is safe to the human eye. To address this need, the two companies have developed a laser driver with a one nanosecond pulse rise time, while driving all four channels at 40A each to deliver 480W peak power. This peak power can be modulated at low-duty cycles to produce high resolution 3D cloud points at long range for new lidar designs.

Scanning lidar is used in advanced driver assistance systems (ADAS). Devices react instantly to potential collisions without wasting precious seconds of reaction time. Scanning lidar creates high-resolution 3D images of a car’s surroundings and registers obstacles early enough for ADAS, or self-driving cars, to initiate the appropriate driving manoeuvres, such as braking.

http://www.osram-os.com

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AI keeps connected vehicles secure with ML and DL

Fri, Jan 04, 2019

Machine learning (ML) and deep learning (DL) insights are used to provide OEMs and tier-1 suppliers enhanced security and operation efficiency via SafeRide Technologies’ vXRay advanced AI technology for connected vehicles.

Automotive cybersecurity company, SafeRide Technologies, believes it is the first to offer multi-layer deterministic and heuristic anomaly detection and threat prevention technology in the form of vXRay, a behavioural profiling and anomaly detection technology for connected vehicles’ security operation centres (SOC). vXRay can be integrated into connected vehicles’ SOCs independently of vehicle architecture or ECU sourcing. It can help customers uncover vulnerabilities, provide early detection of vehicle malfunctions and flag misuse and abuse problems.

vXRay uses advanced, unsupervised ML paradigms in an autonomous process to establish the vehicle’s normal behaviour without dependencies or previous knowledge of ECU properties and protocols. Once the behavioural baseline is established, the ML models can detect, categorise and flag any abnormal behaviour and report it to the vehicles’ SOC for further analysis.

Vehicle data can be used for anomaly detection, using in-vehicle analysis of signatures and error codes based on partial data, yet use limited computational power, points out SafeRide. Security measures installed in vehicles today can only detect and prevent known attacks, yet cybersecurity threats mean that OEMs need to install intrusion detection capabilities that can detect unknown threats and facilitate remediation. Upgrades with advanced intrusion detection systems can be costly, but the company believes that vXRay technology provides OEMs with immediate intrusion detection capabilities with minimal or no modifications to the vehicle platform.

SafeRide’s vXRay technology was proven to effectively detect all cyberattacks and vehicle malfunctions in multiple vehicle models in customer testing, and is being implemented by several major automotive vendors as part of their 2019 security strategies.

SafeRide will demonstrate its vXRay technology at the Automotive Grade Linux (AGL) booth 1614, Westgate Pavillion, Tech East at CES 2019 (8 to 11 January), Las Vegas.

http://www.saferide.io

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