As CES opens today in Las Vegas there is a press release from each of the major vendors as they try to out do each other for the top spot in the news. Rather than trying to sort this out the following will apply to the generic developments that are likely to take place in 2019, minus the hype.
CES Opens Today – Sensor Fusion – Analog Devices Inc.
From an article by Charles Murray in DesignNews.
There are important, far-reaching developments taking place in the core technologies of radar, lidar and IMU’s that are setting the stage for autonomous vehicles that will see better and therefore be able to make quicker decisions.
“To some extent, we might see those technologies implemented in vehicles that have constrained environments, like robo-taxis in geo-fenced areas,” noted Chris Jacobs, vice president of autonomous transportation and automotive safety for Analog Devices, Inc. “Or they will initially be deployed in environments with benign weather conditions like Phoenix, Arizona.”
The improvements include:
Imaging radar: Imaging radar, which typically operates in the 77/79 GHz range, can do things that ordinary, 24-GHz radar sensors can’t do. The most important of those is object recognition.
“Radar typically shows you that something is there, but you have no way of knowing if it’s a bike, a person, or a semi-truck,” Jacobs said. “Imaging radar allows you to start differentiating between those things.”
Developers of automated vehicles consider that an important step toward autonomy because object recognition translates to faster reactions. If, for example, a vehicle recognizes a pothole in its path, it can take earlier evasive action.
Imaging radar also enables the vehicle to calculate the tangential velocity of obstacles moving into its path, enabling it to determine if a collision is imminent. Conventional radar can’t do that, Jacobs said. “We need more time for the car to react,” he told us. “And we think imaging radar will be a key to that.”
1,500-nm LiDAR: Next-generation LiDAR systems will employ a light wavelength of 1,500 nm instead of the conventional 900 nm, endowing them to see objects farther away.
“It will support four times the range of today’s LiDARs, at the same level of reflectivity,” Jacobs told us. “So you’ll be able to see a tire or a block of wood in the roadway at 150 to 200 meters. And you’ll be able to make a decision sooner about whether to drive around it or over it.”
The hang-up, however, is cost. The new breed of LIDARs employs more expensive radar systems. Moreover, its photo detectors are fabricated on two-inch-diameter indium gallium arsenide wafers, which are not amenable to automotive-scale production.
Jacobs contends, however, that the 1,500-nm technology is a key to more effective sensing on future vehicles. That’s why many OEMs have begun investing in the technology now, he said. “You probably won’t see active deployment of 1,500 nm in 2019,” he told us. “But soon afterward, we’ll start to see some applications crop up.”
Autonomous-grade inertial measurement units: Inertial measurement units (IMUs) using gyroscopes and accelerometers have long resided in vehicles, but automakers have begun making a case for a newer breed of IMUs for autonomous cars.
The key advantage of these autonomous-grade IMUs is an enhanced ability to do dead reckoning measurements. Dead reckoning is a key to the car’s ability to “see” its way forward at moments when other systems—radar, LiDAR, and GPS—are unstable. Such is the case, for example, when a vehicle moves from a sunlit environment to a dimly lit tunnel. At such moments, radar and LiDAR might be unstable for a fraction of a second, and GPS reception might be lost. With advanced gravity-based IMUs, however, the vehicle won’t lose its way.
The key difference between the new breed of IMUs and the existing ones, commonly applied in electronic stability control, lies in their offset drift. Autonomous-grade IMUs express their numbers in degrees of drift per second, whereas the newer units are in degrees per hour. The bottom line is: The newer units are far less likely to drift off course.
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