By John Blyler – Advanced driver assistance systems (ADAS) rely heavily on modern radar technology. And why not? Radar uses electromagnetic waves to sense the environment. It can operate over a long distance in poor visibility or inclement weather conditions. Designing automotive RF that accurately captures diverse traffic situations will be essential in making autonomous operations safe.
Radar systems are no newcomer to the automotive space. In the past, automotive radar was used in vehicles for basic operations such as automatic emergency braking (AEB) and adaptive cruise control (ACC), where the radar sensor only had to provide the vehicle with information relating to the distance and speed of the target in front of it.
However, recent trends to deploy a fully autonomous vehicle have increased the amount of information that a vehicle demands from the radar sensor. Specifically, after detecting a target, the host vehicle must determine several things, such as the distance to a target – be it another car, a person, a stationary object, or the like. The radar must also calculate how fast the target is approaching or departing; whether it is to the right, left, or straight ahead of the vehicle; on the road or above the ground; and the nature of the target, i.e., pedestrian or vehicle, for example.
Automotive radar technology can provide essential, real-time information to the vehicle’s onboard embedded computers and software algorithms to answer these questions by providing five-dimensional datasets: Range, Doppler, Azimuthal direction of arrival (DoA), Elevation direction of arrival (DoA), and Micro-Doppler.
As vehicles migrate from SAE level 1 to level 5 full autonomy, automotive radar technology will be used for far more than emergency braking and adaptive cruise control with ever-increasing reliability and accuracy demands. more>
Posted in Business, Economic development, Economy, Education, History, How to, Net, Regulations, Science, Technology, Transportation
Tagged Auto industry, Business improvement, Internet, Physics, Radar, Skills, Technology
Reimagining the auto industry’s future: It’s now or never
Disruptions in the auto industry will result in billions lost, with recovery years away. Yet companies that reimagine their operations will perform best in the next normal.
By Thomas Hofstätter, Melanie Krawina, Bernhard Mühlreiter, Stefan Pöhler, and Andreas Tschiesner – Electric mobility, driverless cars, automated factories, and ridesharing—these are just a few of the major disruptions the auto industry faced even before the COVID-19 crisis. Now with travel deeply curtailed by the pandemic, and in the midst of worldwide factory closures, slumping car sales, and massive layoffs, it’s natural to wonder what the “next normal” for the auto sector will look like. Over the past few months, we’ve seen the first indicators of this automotive future becoming visible, with the biggest industry changes yet to come.
Many of the recent developments raise concern. For instance, the COVID-19 crisis has compelled about 95 percent of all German automotive-related companies to put their workforces on short-term work during the shutdown, a scheme whereby employees are temporarily laid off and receive a substantial amount of their pay through the government. Globally, the repercussions of the COVID-19 crisis are immense and unprecedented. In fact, many auto-retail stores have remained closed for a month or more. We estimate that the top 20 OEMs in the global auto sector will see profits decline by approximately $100 billion in 2020, a roughly six-percentage-point decrease from just two years ago. It might take years to recover from this plunge in profitability.
At the operational level, the pandemic has accelerated developments in the automotive industry that began several years ago. Many of these changes are largely positive, such as the growth of online traffic and the greater willingness of OEMs to cooperate with partners—automotive and otherwise—to address challenges. Others, however, can have negative effects, such as the tendency to focus on core activities, rather than exploring new areas. While OEMs may now be concentrating on the core to keep the lights on, the failure to investigate other opportunities could hurt them long term.
As they navigate this crisis, automotive leaders may gain an advantage by reimagining their organizational structures and operations. Five moves can help them during this process: radically focusing on digital channels, shifting to recurring revenue streams, optimizing asset deployment, embracing zero-based budgeting, and building a resilient supply chain. One guiding principle—the need to establish a strong decision-making cadence—will also help. We believe that the window of opportunity for making these changes will permanently close in a few months—and that means the time to act is now or never. more>
Posted in Business, Economic development, Economy, Education, Energy & emissions, Healthcare, History, How to, Nature, Net, Regulations, Science, Technology, Transportation
Tagged Business improvement, Capital, Government, Health, Internet, Jobs, McKinsey, Skills, Super regions, Technology
Many investments in digital farming have not fulfilled their full potential. What can companies do to improve returns?
Creating value in digital-farming solutions
By Shane Bryan, David Fiocco, Mena Issler, RS Mallya Perdur, and Michael Taksyak – Over the past 20 years, agriculture has undergone a digital revolution. It started quietly with original-equipment manufacturers that began to sell harvesters with guidance systems and auto steering, then roared to life in 2013 with Monsanto’s nearly $1 billion acquisition of the digital-agriculture company Climate Corporation. Since then, there has been an arms race within the industry, with billions of dollars invested and hundreds of millions of acres affected by digital farming.
The rapid pace of investment and broad adoption of digital technologies on the farm are a testament to the power of digital to reduce costs, boost yields, and put more money in the pockets of growers. However, despite the promise of digital-farming solutions, our research suggests that such investments have not lived up to expectations of the companies that made them. To explore why this might be the case and what could be done to improve outcomes, we conducted a survey of more than 100 industry executives from across the agriculture value chain.
For the purpose of this article, we define “digital farming” as any platform or application that processes input data to provide growers or crop advisers with agronomic decision-making support. These include proven digital offerings (such as variable-rate application) and ones that are more novel (such as in-season sensing). We excluded automation equipment, drones, and services that are not linked to agronomic decisions (for example, fleet-management software).
The survey found that most agriculture companies have invested in digital-farming solutions, but less than 40 percent of respondents (representing a broad swath of the industry) self-reported positive returns. To understand why, we tested a number of success factors, several of which dramatically increase perceived success. These standout factors include:
- high attention from CEO and top team
- clear strategy and business case linked to value creation
- at-scale investment
About two-thirds of survey respondents indicated they had just one of these success factors in place; this suggests that the disappointing returns from digital-farming investments may be due to lack of adequate preparation. more>
Posted in Business, Economic development, Economy, Education, History, How to, Nature, Net, Regulations, Science, Technology, Transportation
Tagged Business improvement, Climate change, Farming, Health, Internet, McKinsey, Skills, Technology
Solid Edge 2021 Feature Highlights: Free CAD Models for Solid Edge Users
By Shannon Kruse -Solid Edge 2021 has been launched and with it comes a vast array of new capabilities and features for users! In this blog series, we will be highlighting a new capability every other week, allowing you to become familiar with the software and learn what Solid Edge 2021 has to offer.
This week’s blog post will be covering 3Dfindit.com, powered by CADENAS. 3Dfindit.com, an online visual search engine, streamlines the process of finding 3D models using advanced search functions such as classifications, geometry, filters, sketches and much more to allow you to significantly reduce technical search times and increase design efficiency.
3Dfindit.com for Solid Edge gives engineers like you a wide variety of intuitive search methods, making it easy to find the exact part you are looking for. You can create a rough model in Solid Edge and initiate a geometric search in 3Dfindit.com to find parts that are similar to that specific model. With millions of 2D and 3D CAD files verified by component manufacturers to choose from, you can easily select and configure the components that match your needs. Once the proper part is located, a single click places it directly into your active Solid Edge assembly.
CAD files of requested parts are automatically generated on the fly, ready to use in Solid Edge. Depending on the catalog, the digital parts are enriched with extensive metadata such as kinematics information to test motion sequences, centers of mass, material, environmental protection standards, order numbers, etc. This saves time by enabling engineers to find and deploy approved parts instead of manually creating them. more>
Posted in Business, Economy, Education, History, How to, Net, Product, Science, Technology, Transportation
Tagged Business improvement, Internet, Jobs, Manufacturing, PLM, Siemens, Skills, Super regions, Technology