Integrated Software Development Environment for ADAS and Automated Driving

Welcome To A Hands-free World | Automotive Radar Obstacle Simulation and RF Measurements

As the car industry moves from being mechanical towards the next generation of autonomous vehicles, new autonomous and ADAS technologies are being developed at a blistering pace. Renesas is claiming to achieve improved development efficiency and faster time-to-market for ADAS applications with its new upgraded e2 studio IDE. In the wearables arena, ST has developed a compact contactless module for easy and secure payment using wearables like wristbands or fashionwear like watches or jewelry. ST is also providing an open development environment for prototyping advanced Smart Driving applications, including vehicle connectivity to back-end servers, road infrastructure, and other vehicles.


Integrated Software Development Environment for ADAS and Automated Driving

Renesas expands its e² studio integrated software development environment for ADAS for R-Car V3M with various features to boost the performance of ADAS and automated driving applications. With the new e2 studio, Renesas helps its customers to achieve improved development efficiency and faster time-to-market. The firm plans to offer the updated IDE in Q1. Read more.


Boost Your Contactless Payment Designs With All-in-one Module

ST has launched a new ‘ST53G System-in-Package’ all-in-one module for easy and secure contactless transactions using wristbands or fashionwear like watches or jewelry. The module, says ST, overcomes the space and cost barriers by combining a miniaturized and enhanced NFC radio with a secure banking chip in one compact 4mm x 4mm module. The ST53G meets all relevant card-industry standards, including EMVCo compliance, ISO/IEC-14443 NFC card emulation, and MIFARE ticketing specifications. Read more.


Open Development Platform for Secure Car-Connectivity Applications

The Modular Telematics Platform (MTP) from STMicroelectronics provides an open development environment for prototyping advanced Smart Driving applications, including vehicle connectivity to back-end servers, road infrastructure, and other vehicles. The MTP consists of a central processing module utilizing the firm’s latest Telemaco3P secure automotive-telematics processor and a comprehensive set of automotive-connectivity devices to improve development flexibility and extensibility. The MTP can be used for advanced automotive telematics use cases including remote diagnostics and secure Electronic-Control-Unit (ECU) Firmware Over The Air (FOTA) updating. For these use cases, it has extension connectors for V2X and precise positioning modules, too. Read more.


 

 

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IoT on the farm: automated cow milking and more

cow milking robots

IoT technology is giving farmers more time to spend on their most important tasks and, at last, the promise of more sociable working hours.

With a little help from the IoT, some farmers can avoid early mornings and let robots do the work. One example is David Johnstone, a cattle farmer on New Zealand’s South Island.

Speaking with the New Zealand Herald, Johnstone describes how a small team of four robots has improved the performance of his farm and also his work/life balance. These robots automate every stage of the milking process, from teat cleaning to attaching cups to each cow.

On top of that, each cow receives an automated health check and is given supplementary feed according to its needs. And the best thing about Johnstone’s system, which has also been adopted by many surrounding farms? It’s voluntary. He says that the cows enter and leave the shed whenever they want to.

Read more: Farmers lead with IIoT, but can they be more precise?

Real-time cow monitoring

Although he admits that the initial outlay for the robotic equipment and data-gathering collars worn by each cow wasn’t a small one, his herd is now noticeably happier and healthier.

The collars provide Johnstone with a stream of information on his herd’s movement, rumination and temperature. A pedometer on each collar is even able to give data on head swings. More swinging reflects when the cows are getting too hot under the collar, according to Johnstone.

By tracking how many chews each cow makes before regurgitating, Johnstone is able to tell if there are any outliers, perhaps indicating ill-health. Rumination monitoring isn’t necessarily a new technology, but the information gathered is becoming more accessible and applicable to farmers.

“It’s making that data more user-friendly to the farmers and looking for interactions between things,” he said.

Read more: American farmers are milking IoT for connected cows

Connected livestock

Hazel Copeland, CFO at UK farming cooperative Woldmarsh, agrees that the IoT is bringing new levels of efficiency to the agricultural sector.

“We’re seeing mobile technology used to a far greater degree, with tablets being used in farms and sat navs helping inform spraying techniques for chemicals on fields,” she said. “Technology is being used to help farms become more efficient, allowing greater control.”

In some parts of the world, IoT technology is needed to keep farmers aware of their livestock’s location. Satellite provider Globalstar gives tracking capabilities to Findmy, a Norwegian start-up dedicated to protecting roaming livestock.

Globalstar’s Corry Brennan points out that “the combination of small chips and satellite communications has made it affordable to track livestock, particularly cattle, sheep and deer which roam in remote parts of the world.”

“Given the value of livestock, there is enormous potential in understanding the impact of breeding and animal behaviour on welfare, health and products such as meat and wool. With IoT trackers it is possible to measure the amount an animal is eating, resting and walking to build a profile of its behaviour.”

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Would automated hotel check-in rock, or suck?

Would automated hotel check-in rock, or suck?

The late spring/early summer technology conference season is underway around the planet and, for many in the sector, that means hotels, economy flights and a general lack of sleep. So would a deeper degree of IoT-driven automation at check-in make lives better, or perhaps just that little bit worse?

Red-eye routines

Picture the scene: you’ve just finished a four-day IT show slog in Las Vegas (enjoyable, but hard work) and you route via Los Angeles on an overnight ‘red-eye’ connection to Orlando for the next tech shindig.

You get into Orlando on time, but you have effectively lost a night’s sleep, most of your body’s natural  energy resources and, in part at last, the general will to live.

You make it to your hotel, but it’s 10am and most hotelier are pretty reluctant to allow people to check-in at this early hour. The friendly front desk clerk in the Hyatt Regency Orlando (we’ll call him Melvin, because that’s his name) does his best and actually gets you a room by around 11am. He offers free water, somewhere to sit, showers in the spa/gym area and his human heartfelt sympathy for a rough night.

Would any of this experience have been better if we could have automated it?

Hi there! Welcome to Hotel IoT

With the IoT pushing to extend automation intelligence into every corner of our lives, it’s natural that we should be discussing how far we bring digital management to the hotel business. We’re accustomed to using ‘kiosk’ computers at airports, so shouldn’t hotel check-ins be given a higher degree of computer control?

David Jones thinks the answer to this question is yes. Jones is founder of 2b Acting, a digital media and theater company specializing in Selective Interactive Videos (SIV). Writing on HPE’s Business Value Exchange, Jones has ‘penned’ a piece entitled 5 Reasons Why Hotels Should Utilize An Automated Concierge Service.

“As the automated concierge service is new to the hospitality industry, it is serving to push new areas of creativity, which in turn is inspiring novel approaches to how things can be done going forward. This is shaking up the day to day routine of work, leading to a re-invigoration and motivation of delivery teams,” writes Jones.

This is essentially an extension of Customer Relationship Management (CRM) theory, where hotel guest lifestyle preferences are held and hotel amenities are tuned to match each guest. Those preferences might be held within specific hotel membership schemes, or (where privacy controls allow) be accessible from wider user-profile data, such as a person’s airline or even their shopping club or banking profiles.

Jones thinks that it’s all good news and that new revenue streams will abound. “You [the hoteliers] will be able to raise income through selling advertising space, increased networking, hosting industry showcases and creating new events,” writes Jones.

Read more: IBM’s Watson delivering robot hospitality at Hilton hotels

Lack of humanity in neuromarketing?

Admittedly, Jones is talking about automated concierges, not check-in functions. But the two are close bedfellows. Would IoT data-driven automation of either of these functions leave us feeling the lack of a warm welcome? Especially at 10am on an overnight red-eye routine, surely we need a fellow human being to work on a more interpersonal level than any computer can ever provide?

Jones notes that automation at this level is at the forefront of emerging strategies introducing aspects such as neuromarketing. This is the field that applies the principles of neuroscience to marketing research, studying consumers’ sensorimotor, cognitive and affective response to marketing stimuli.

You know the answer already: Neuromarketing-fuelled IoT-connected functions are coming to your hotel experience soon, whether you like it or not.

Yeah, but can they get you an early check-in in Orlando when the maid on the 18th floor has a sore back and needs an extra 15 minutes to get your room ready?

Melvin can. We love Melvin.

Read more: HotSchedules and Kitchen Brains serve up IoT kitchens

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Tarzan robot swings above crops for automated agriculture

Tarzan robot swings above crops for automated agriculture

Researchers at Georgia Tech are developing Tarzan, a sloth-inspired autonomous robot that can gather crop data from above. 

Innovation is often born out of necessity. At a four-acre test field near Athens, Georgia, plant genetics researchers from Georgia Tech spend every summer in scorching heat measuring crop growth and testing phenotype variations. They are trying to develop the drought-tolerant crops of the future. It’s hard, monotonous work.

This summer, colleagues from the university’s School of Mechanical Engineering will be joining them in the field, along with a team of sloth-inspired autonomous robots developed to ease the workload of millions of farmers worldwide.

Read more: Winemaker uses drones and IoT to boost crop production

Inspired by nature

Tarzan robots take inspiration from the natural world. They’ve been designed to imitate sloths and gibbons by swinging across and along parallel guy-wires. The robots will make their way along the cables while fitted with cameras, capturing each plant from above as they go. It’s hoped that in time they will autonomously carry out repetitive crop monitoring tasks with more speed and efficiency than researchers on the ground.

A statement from Georgia Tech outlines the team’s vision, which is that, in time, researchers will be able to gather more frequent measurements and avoid laborious field work. It’s easy to see how a system such as this could be rolled out around the world, with farmers assessing data in real time while Tarzan does the work.

Read more: IoT in agriculture — sowing seeds of innovation

tarzan robot

The Tarzan Robot: Georgia Tech

Game-changer – or just quirky robotics?

Although it’s clear that Georgia Tech’s swinging agriculture solution could do a job in the field, it’s difficult to say whether it will be an improvement on current autonomous technologies.

On the one hand, this is an all-in-one exhibition of progress in robotics technology. The design imitates a sloth’s leisurely hand-under-hand technique and uses 3D-printed claws to hold onto the wire. The efficient swinging motion helps it use less energy than conventional robots and instead rely largely upon its own momentum.

Read more: Agtech start-up Arable to measure crops and weather with IoT

In time, the research team suggest that solar panels could be added to keep the Tarzan robot out in the field for days at a time.

But many farms already have autonomous systems in place to monitor and sustain crop health. Aerial drones are widely used to gather data on plant health from above, with relaxing regulations and advances in both hardware and software only going to improve over time. Manufacturers such as DJI are also developing autonomous systems that can cover huge areas at a time while spraying crops with nutrients and pesticides.

It’s also unclear how the Tarzan system would provide better crop coverage than a camera dolly, using simple wheels instead of sloth-inspired locomotion.

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Intersections of Collaboration: Creating a More Secure Ecosystem for Automated Vehicles

This is the third in a 3-part series of blogs on trends in next-generation automotive safety and security. In part one, I wrote about the 15 Hackable Points in Next-Generation Vehicles. In part two, I examined What’s Next in Automotive Security. To learn more, check out our eBook “The Car of the Future.”

In my previous posts, I wrote about how we can enable stronger security through a comprehensive car-to-cloud approach, and what’s next in automotive security. However, modern vehicle security goes beyond the door lock. That’s why Intel takes an approach that starts well in advance of product design. Here are six ways Intel is building security technologies into every point across the new transportation ecosystem.

 

An automotive sketch.

Designing for Rigorous Life Cycles

Like the systems they target, hackers’ techniques evolve over time. Intel’s design cycle includes ongoing internal and external security audits to evaluate and swiftly respond to new potential threats. In addition, to help minimize the attack surface of tomorrow’s connected and automated vehicles, ECU consolidation and virtualization shows significant architectural benefits as well as cost savings to the automaker.

 

An illustration showing 15 hackable points on an automated vehicle.

An Expanded and Hardened Automotive Security Portfolio

By adding focused expertise, Intel is accelerating our own capabilities for development of functionally safety products. Recent acquisitions of YOGITECH and Arynga software are reinforcing our already rigorous manufacturing methodologies and quality systems.

Developing a 5G Network

Get ready for breakneck speeds. 5G will deliver incredibly high bandwidth and low latency, opening the doors for fast and secure vehicle-to-everything (V2X) applications, OTA updates, and entertainment services. Intel is paving a path forward with expertise in network monitoring and enforcement to improve the authenticity and integrity of data transmitted across 5G networks. Moreover, by collaborating with leaders in the telecom industry, Intel is ensuring that secure connectivity solutions for the automotive industry will be ready when 5G arrives.

 

An image of a car dashboard with a touch screen.

Building a Heterogeneous Architecture

Rather than relying on a single compute architecture to handle everything, Intel- based platforms harness a flexible architecture of CPUs and integrated accelerators. With multiple domains of overlapping compute and sensor fusion, workloads can be distributed with greater safety and security. These designs are ideal for level 3, 4, and 5 automated vehicles.

 

Truck wheels roll on, across an endless desert, sensing the future.

Tapping Into a Trusted Analytics Platform

It’s easy to collect data. The challenge is extracting value from it. Intel developed the Trusted Analytics Platform (TAP), an open source software optimized for performance and security, to help developers securely connect big data with applications. This simplifies solution development so that transportation providers can derive value from data faster.

 

Sensors awaken, a bright car-to-cloud future, autonomous now.

Nurturing Ecosystem Collaboration

Intel is investing in partnerships with hardware vendors, software vendors, and integrators to develop secure solutions for the automotive industry. To accelerate collaboration, in 2016 Intel announced a USD 250 million Intel Capital investment fund for the automotive ecosystem. In addition, Intel is a founding member of the Future of Automotive Security Technology Research (FASTR) industry consortium, dedicated to being the security trusted advisor to the automotive ecosystem – www.fastr.org .

Learn more about the road ahead for automated vehicles by visiting intel.com/automotive. To stay informed about Intel IoT developments, subscribe to our RSS feed for email notifications of blog updates, or visit intel.com/IoTLinkedInFacebook and Twitter.

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