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Ex-Apple Engineers Unveil a Next-Generation Sensor For Self-Driving Cars (theverge.com)
An anonymous reader quotes a report from The Verge: Aeva, a Mountain View, California-based startup founded only just last year, has built what its two-cofounders claim is a next-generation version of LIDAR, the 3D mapping technology that has become instrumental for how self-driving cars measure the distance of objects and effectively see the road in front of them. And today, the company is officially unveiling its product, a tiny box that can more directly measure objects in a given scene and the distance and velocity of those objects relative to one another.
Aeva's technology is able to separate objects based on distance and whether the object is moving away from or toward it. It's also able to measure the velocity of the object, which enables the software to predict where cars and pedestrians are going. The company even says its sensing system is capable of completely shutting out interference from other, similar sensors -- including those from other companies -- and operating in all weather conditions and in the dark, thanks to a reflectivity sensor. Not only is Aeva's version of LIDAR superior to the variety found in most self-driving test vehicles on the road today, the company says, but the lightweight, low-power box it's housed in also contains all the other types of sensors and cameras necessary for an autonomous vehicle to see and make sense of every component within its field of vision. Aeva's new system sounds a lot more promising when you consider the company's co-founders, Soroush Salehian and his business partner Mina Rezk, are former Apple engineers who both worked on Apple's "Special Projects" team. Although they will not say so, they likely helped progress the company's secretive autonomous car division. The Verge notes that Salehian also "worked on developing the first Apple Watch and the iPhone 6, while Rezk is a veteran of Nikon where he worked on optical hardware."
Aeva's technology is able to separate objects based on distance and whether the object is moving away from or toward it. It's also able to measure the velocity of the object, which enables the software to predict where cars and pedestrians are going. The company even says its sensing system is capable of completely shutting out interference from other, similar sensors -- including those from other companies -- and operating in all weather conditions and in the dark, thanks to a reflectivity sensor. Not only is Aeva's version of LIDAR superior to the variety found in most self-driving test vehicles on the road today, the company says, but the lightweight, low-power box it's housed in also contains all the other types of sensors and cameras necessary for an autonomous vehicle to see and make sense of every component within its field of vision. Aeva's new system sounds a lot more promising when you consider the company's co-founders, Soroush Salehian and his business partner Mina Rezk, are former Apple engineers who both worked on Apple's "Special Projects" team. Although they will not say so, they likely helped progress the company's secretive autonomous car division. The Verge notes that Salehian also "worked on developing the first Apple Watch and the iPhone 6, while Rezk is a veteran of Nikon where he worked on optical hardware."
I have to agree.
Working for a popular company, even one with rigorous hiring standards, doesn't make you actually qualified or actually good at your job.
I have had people applying for a job where I worked, only to stop the process when we press every employee to take a test to evaluate their skill sets. Some of them actually tried to pull off a bluff like "I worked for such and such a company, I am insulted that I should take such a test!" After that statement that is the end of such person prospects at the company. Those who take the test, a lot of them pass and do well, some fail miserably, more or less the same percentages as those who worked in IT at a State job, education, or just some unknown small company.
You may be a part of Mensa, Had worked in Google and Apple. However you may just may still be really bad at your job. Perhaps having your Ego get in the way onto learning something new. Or being large companies, you just put your effort into slacking off, and finding ways to blame problems on someone else, or just blending in and not getting noticed.
If something is so important that you feel the need to post it on the internet... It probably isn't that important.
I just think lidar is misguided. It's an easy way to get "part of the way there", but no further. It has the same weaknesses as your visual cameras; why would you run your sensors in the same frequency spectrum and subject to the same weaknesses (such as weather)?
The big thing LIDAR has over radar is resolution (particularly vs. lower frequency radars). But... well, "and"? You still need visual processing from cameras to identify the object either way, so how critical is the resolution on your ranging system anyway? You just need a return, you don't need it to identify the return for you. There are various other advantages and disadvantages to each, in that they can each be "tricked" in various ways and some things are very visible to one but not to the other (e.g. small chunks of jagged metal in the road = very visible to radar, not lidar; moderate-sized chunks of plywood or fibreglass = very visible to lidar, not radar). But if you have your cameras working on the visible spectrum, you really want some other spectrum giving some other insight. Radar also has the advantage of being simply-steered (via a phased array), rather than requiring a rotating dome.
And there's real potential for other insights for radar, beyond just seeing metal debris very well, seeing through weather, in some cases being able to see past the car ahead of you, etc. For example, radar can be used to measure the texture of a surface, on a scale proportional to the wavelength of the beam (the rougher the surface, the more the backscatter). So depending on what frequency you probe with, you could be measuring anything from potholes to ice. Seeing where a shoulder looks weak, seeing where something might be slick, etc, etc - important things in terms of deciding how to drive, and a sense beyond that of humans. No systems (AFAIK) do this today, but the potential is there, and it's some serious potential.
Also, the resolution issue can be (to some extent) overcome. The minimum resolution you can see is proportional to the radar's aperture. If automakers wanted to, they could dramatically increase the effective horizontal resolution by having radar antennas on opposite sides of the front of the car (or the rear, for rear-facing radar). Now you have a virtual antenna the width of the entire vehicle.
I mean, if LIDAR can be implemented cheaply enough, with minimal power consumption, and it's just a low-cost, no-drag-added addition to your cameras... sure. But that's not even close to the description of LIDAR at present. Maybe time-of-flight cameras would be a suitable replacement.
"Close the door! What, were you born in a barn?" -- Police chief, "Jesus Christ Supercop"
Sensors will never "self clean" the way your eyeballs do when you blink.
Automobiles will never replace the horse and buggy.
"That's the way to do it" - Punch
what about "sensor fusion" between radar, lidar, and FLIR?
That way the system can have a better picture of what's going on.