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The Data-Driven Future of the Connected Car

The Data-Driven Future of the Connected Car Image Credit: C Vector Studio/Bigstockphoto.com

With 5G and cloud computing enabling the processing of unprecedented volumes of data, almost every industry is gearing up to leverage new commercial opportunities driven by real-time intelligence and deeper analytics. The automotive sector is a case in point.

V2X: anything and everything

Electrification and automation are defining a unique period of transformation for the auto industry. Meanwhile, the latest technology, V2X (Vehicle-to-Everything or Vehicle-to-Anything), is emerging as a critical enabler of safety, security, convenience and efficiency. V2X represents communication between vehicles and other vehicles (V2V), devices (V2D), pedestrians (V2P), networks (V2N), grids (V2G) and infrastructure (V2I), over short-range wireless signals.

Interfacing with other road users and with centralized systems enables cars to avoid collisions, optimize traffic flows, find (and grab) parking spots and manage demand for electric charging points, for example.

Of course, more sophisticated applications require advanced sensor technology. The trouble is that deploying additional single-function sensors to gather the data that supports each feature increases both complexity and the costs of development, testing, manufacturing and implementation, factoring in the need for extra software, wiring, power consumption and integration efforts, along with more ECUs.

To overcome the twin challenges of complexity and cost, certain in-car and Advanced Driver Assistance System (ADAS) sensors can also double as providers of valuable data for V2X, maximizing the capabilities of connected cars. Leveraging these sensors for V2X not only provides high-resolution data about the vehicle cabin and surroundings, but also eliminates the need to install additional sensors for V2X data collection. To accomplish this, automakers need to identify the right technologies, particularly those available as platforms.

Top tech: 4D imaging radar

One example is based on 4D imaging radar. Available as a powerful software-hardware platform, it’s built around a MIMO (Multiple Input Multiple Output) antenna array that provides rich, high-resolution data across an ultra-wide vertical-horizontal field of view, tracking multiple targets in all lighting and weather conditions. It can even “see” through solid objects and around corners.

Cameras and LIDAR sensors simply aren’t up to the job of detecting targets in darkness or driving rain. They’re also pricey and can present significant privacy issues. 4D imaging radar, by contrast, is robust in all road conditions, affordable and processes the data into point cloud imaging, respecting privacy at all times. It’s also fully convergent with 5G and the IEEE 802.11p Wi-Fi protocol, so the data can be transferred easily and translated into actionable information that supports a wide range of applications, especially ones designed to protect life on the road.

Halting hot car incidents

Thousands of children worldwide have died from heatstroke after being left in vehicles. That’s why there’s now a global drive to prevent hot car incidents, led by the European New Car Assessment Program (Euro NCAP) and NHTSA.

A 4D imaging radar sensor detects the presence of a child left alone anywhere in the cabin, using precise classification based on real-time occupant data. Some solutions go as far as to distinguish between adults and children based on their dimensions, preventing false positives. They cover up to eight passengers across three seating rows, even identifying a baby in a Child Restraint System (CRS) hidden under a blanket or an infant in any of the footwells.

With a V2D system in place, an alert can be sent straight to the driver’s mobile device, telling them their baby is alone in the vehicle. If there’s no response, the vehicle can escalate the call to emergency services or other guardians, while providing rich data such as vital signs that reflect the child’s status.

Updating first responders

Another Euro NCAP criterion is eCall support - a car’s ability to automatically alert emergency services in the aftermath of an accident. With the vital signs data collected by a 4D imaging radar platform, first responders can receive crucial information about the number of vehicle occupants and their status, making all the difference in how they respond.

Threat anticipation

As well as reacting to emergencies, V2V technology will also take the lead in proactively identifying potential for collision. With full area awareness provided by 4D imaging radar’s impressive dynamic range (Short, Medium and Long-Range Radar), connected cars will constantly interface with one another and with Vulnerable Road Users (VRUs) like pedestrians and scooter riders. They’ll share rich data on location, direction and velocity to flag up all potential hazards before they become imminent threats. The collaboration between the 4D imaging radar and V2X is an instrumental part of the mission to consign Road Traffic Accidents (RTA) to the history books.

Valet parking for all

V2X is also engineered for supreme convenience. The Vehicle-to-Infrastructure category includes automated parking whereby cars communicate with the parking lot itself, receive the location of the nearest vacant spot and drive themselves to it, supported by advanced 4D imaging radar-powered parking assistance. Beyond convenience, safety is once again a crucial component in dimly lit underground lots where a maze of concrete pillars, overhead hazards and hidden pedestrians conspire to limit visibility.

Fast forward to the future

To maximize the lifesaving potential of V2X, as well as its capacity to deliver high-end convenience, it needs to be backed by rich data at all times and in all conditions. For instance, using multilayered software-hardware platforms provides high-resolution point cloud data for both in-cabin and ADAS applications, while also offering unique multifunctionality on a single-chip platform, which in turn allows it to support numerous applications simultaneously. This dramatically reduces the number of sensors, data and wiring a car requires, bringing down complexity and costs. Automakers should also be able to write their own applications, leverage machine learning over radar and, crucially, upgrade entire fleets via over-the-air updates.

By providing data of unparalleled quality, 4D imaging radar will be crucial in laying the groundwork for the connected mobility of the very near future.

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Author

Ian started his career in 1997, in chip design of wireless technologies, after 7 years of military service. Afterwards, he led the MAC chip-design team at Envara, a startup that was acquired by Intel in 2004. At Intel he led a chip design group and worked as a Project and Program Manager in the WiMAX division, leading products and customer engagements. In 2009 he was promoted to the Head of Program Office, #2 in the WiMAX division, and later Biz-Dev, where his line of work involved seeking new partnerships, investments and M&A. In 2012 Ian resumed work in startups, as VP R&D at Powermat, a pioneer in wireless-charging, whose solutions were deployed in GM vehicles and more than 2000 Starbucks stores. In 2016 he joined Vayyar as the Director of Business Development, focused on the automotive, robotics, safety (industry 4.0) and mobility markets. Ian oversees partnerships with industry leaders in all of these markets and helps integrate Vayyar technology into their products, solutions and services.

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