Geelyn autonomous driving -järjestelmästä juttua. On tietääkseni eri asia kuin DMS-järjestelmät.
https://www.eetimes.com/chinas-geely-to-deploy-mobileyes-hands-free-adas/
Löysin myös kesältä uutta pitchaus-matskua Smarttiin liittyen. Smart on Geelylle myös DMS-softatoimittaja (1kpl DW tällä hetkellä). Presiksessä on vähän paremmin avattu auton sisätilan havainnointia, kuin tähän asti on ollut tiedossa.
https://motorvalleyfest.it/wp-content/uploads/2020/06/SmartEye_Pitch.pdf
Matskua vuodelta 2018:
Artikkeli helmikuu 2020:
The Gothenburg-based outfit has been working on automotive applications since about 2015. With Smart Eye systems deployed to about a half-dozen BMW models, and contracts secured with 10 other major global automakers, the company is well-positioned in the driver-detection space. Australia’s Seeing Machines is also a leading provider. “This is the next big thing when it comes to safety,” said Peter Rundberg, a technical expert at Smart Eye. “It’s going to be as big as airbags and safety belts.”
The required hardware is relatively simple. Current Smart Eye systems feature a 1-megapixel camera with 1,280-by-800-pixel resolution. It has RGB and infrared (IR) capabilities so that color images can be captured in daylight. At the same time, the active illumination of IR can render detailed images even in pitch darkness without disturbing the driver.
According to Rundberg, next-generation systems will upgrade to 2-megapixel cameras yielding about 1,600-by-1,300 pixels, thus allowing for a wider view while still preserving the necessary detail. Each Smart Eye implementation is customized for the automaker, to allow for either single or dual cameras that can be mounted in the center stack, roof liner, steering column or other locations.
We can run this on a mid-range ARM core, like from a cell phone from five years ago,” said Rundberg. “The processors cost less than $10 a pop.” The processing and data can be local unless an automaker wants to use the cloud to track a specific passenger from one vehicle to the other. The system becomes powerful when machine-learning is applied. Patterns related to factors such as head position, the duration of blinks, and the distance of mouth openings are used to infer awareness.
The system has the uncanny ability to detect where a driver is looking. The primary use case is to ensure safety. But the data supplied by Smart Eye can be used by automakers for many value-add services. For example, if rain sensors detect moisture and the driver looks into the rear-view mirror, the rear wipers can automatically turn on. Or dashboard lighting can be dim when the driver looks ahead at the road, but then brighten for the split second when the driver glances at gauges.
Varmaan robotti tuonkin tehnyt.
suurimmaksi osaksi tietokone generoitua hässäkkää
