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  • 90 percent of traffic accidents are caused by human error

  • And the biggest risk factor in road traffic - is us.

  • Forward collision accidents, lane departures.

  • Our dream is to eliminate all those accidents totallywe call thatVision Zero”.

  • Technology from the holy city of Jerusalem, with a noble objective:

  • Cars that won´t crash. This basically takes human error out of the equation.

  • We should be able to save tens of thousands of lives with Vision Zero...

  • Here at Mobileye, Amnon Shashua and his team are working on technologies that are transformative.

  • It all begins with the understanding that just like a human can understand, by looking,

  • what things are, where they are, and infer what they intend to do,

  • the computer should be able to do the same.

  • Making a computer see and interpret the world is game changing.

  • Back in the late 90s when Mobileye was founded, we understood that such technology can make a life-saving impact.

  • There was clear interest from the industry for Driving Assistance Systems -

  • but the solutions were expensive and cumbersome.

  • The industry thought that they needed stereo cameras they needed radars, they needed laser range finders.

  • All those cumbersome systems. In fact, the human visual system

  • relies on a diverse set of cues, all of them are monocular in nature,

  • like perspective, motion, shading and context.

  • Although it sounds unintuitive, doing this with a single camera, and mimicking the processes

  • of the human visual system not only make it less expensive but also make it work better

  • than other systems like stereo system relying mostly on geometric triangulation".

  • Professor Amnon Shashua of the Hebrew University in Jerusalem returned from MIT

  • where he completed his studies in computer vision and artificial intelligence

  • with a vision to create a computerizedeyefor the sake of road safety.

  • After founding the company with Ziv Aviram, he thought that the perfect person to lead the R&D

  • of the nascent company would be his former student Dr. Gideon Stein.

  • Shashua gathered other team members with diverse technical skills to solve the many different challenges.

  • The first challenge is to detect the vehicles. You start by putting a bounding box

  • on the vehicle in the image which is natural for a camera. Then comes the measurement.

  • That´s the bigger problem because a camera is not a natural distance measurer.

  • We had to develop smart algorithms to solve this problem.

  • Prof Shashua's team at Mobileye have the objective to integrate

  • a cheap and simple driver assistance system into any vehicle.

  • So this is the basic system. So we have here the camera sensor and the lens, so this is the camera part.

  • Here's the processor, our EyeQ processor. And this is the board which does everything which we need.

  • The forward-looking camera behind the rear-view mirror sees what the driver sees.

  • The software interprets the camera image.

  • Artificial intelligence now has to draw the correct conclusions.

  • But how can that be done without precise sensor data?

  • Instead of using precise range measurements, the algorithms use the information from the camera's image

  • to make a clever estimate. For instance, when calculating the distance.

  • There we use perspective. We look at the bottom of the target whether it is a vehicle or a pedestrian,

  • where the bottom is in the image. And its distance from the horizon gives us information about the distance

  • to that vehicle. It's a bit more complicated than that, but that's the basic idea.”

  • Mobileye has also found ways of making it work at low light, in rain, and on bumpy road surfaces.

  • We were really formed in a garage but through a series of inventions

  • we were ahead of everyone else. We filed patents, we improved the technology

  • and today we are over 1.000 employees.

  • To detect an impending collision in the camera image, Mobileye´s system uses a further trick:

  • The second application is working out the time to collision. When are we going to hit the target?

  • And there, we look at the expansion of the target in the image

  • and that tells us something about when we're going to collide.”

  • The objective: to warn the driver - in good time - of an impending crash.

  • Today, Mobileye's “smartdriver assistance system is a world leader.

  • In 2017 the company was bought for more than 13,5 billions Euros by the chip giant INTEL

  • and Mobileye technology is now found in over 40 million vehicles.

  • In this car, Mobileye installed a system with special image output -

  • - to demonstrate everything the computer eye can see and what it calculates.

  • During the car journey through Jerusalem, the screen shows the driver assistance system at work.

  • So what we're doing is, we're detecting all the vehicles in the scene

  • and for each vehicle we put the bounding box around the vehicle

  • Every 27 milliseconds, algorithms calculate the distance and relative speed of the objects in the field of view.

  • And the one vehicle which we care about most is the CIPV, the Current In-Path Vehicle,

  • and it's marked with a hashed rectangle,

  • and that is the vehicle from which we want to keep a safe distance.

  • If it's an adaptive cruise control it'll monitor that distance,

  • or just make sure we have a two-second headway from that vehicle.

  • Meanwhile, a whole family of products is based on Mobileye's developments.

  • If danger threatens, the systems warn the driver visually and acoustically -

  • and can even be engineered to trigger an emergency braking manoeuvre all by themselves.

  • The driver assistance system research also gave rise to another project:

  • Mobileye is testing a fleet of driverless cars.

  • Over the last seven years, the number of European patent applications

  • in the driverless car sector has risen by 330 percent.

  • Mobileye is at the forefront here as well.

  • Driver assistance systems are still the project closest to the hearts of the inventors at Mobileye

  • - because they save lives.

90 percent of traffic accidents are caused by human error

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B1 UK vehicle driver assistance camera system image

Amnon Shashua and the Mobileye Team - Vision for vehicles to improve road safety

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    James posted on 2020/08/19
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