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Intel provides a Deeper Understanding of Vehicle ADAS Systems

Posted by Nadeesha Thewarapperuma

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May 31, 2017 11:55:04 AM

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At this stage, the companies invested in ADAS (Advanced Driver Assist Systems) are more interested in collecting data.

While there are trial runs in place, these are in place to collect data. One of the more invested companies, Intel produces programmable logic devices (PLD), MAX┬« CPLDs, Cyclone┬«, and MAX 10 family of FPGAs and SoC, and other devices that can control everything from infotainment to the radar controlled braking systems. Xilinx, alternatively, offers Zynq UltraScale+ MPSoC as well as a plethora of other solutions in the ADAS arena.

Intel provides a brief overview of what the company expects from current ADAS trials.

At this deployment stage, the algorithms behind ADAS systems are designed to capture anomalies and store this information. Each anomaly or unique situation will be analyzed, and an appropriate response will be determined. There are several benefits that come along with having this sort of system in place.

 

1) The ADAS system will 'learn' the appropriate response for each unique situation.

 

2) By having different scenarios in place and learning more about the appropriate response to each, the ADAS system can react effectively and quickly in response to other familiar stimuli.

 

Think of a situation like this. The ADAS system encounters a fast-moving human. Based on the information that's stored, the ADAS system knows a human cannot move at that fast of a pace. It's the first time the ADAS system has encountered a human on a skateboard. To learn more about the object and the appropriate response, the ADAS system might query the cloud for more information.

The cloud responds, and dependent upon the information the cloud provides, the ADAS system knows the appropriate response is to stop the vehicle.

Now to make this work, a 5G wireless system will be necessary. The 5G network will enable fast, low-latency communication between the vehicle and the cloud.

The benefit of having dynamic cloud storage in place is that information will be continuously updated.

Let's say that the first car notices a potential road hazard. The first car's ADAS system will send an alert to the cloud, the cloud will update its database and relay the information down to any other cars that may be traveling along the same route.

It will take some time to have a fully-functional ADAS network in place. Companies invested in ADAS must take a series of steps to make sure the network is functioning properly and is being maintained to effectively eliminate errors. Each car must be equipped with a functioning ADAS system which can connect to the cloud for instructions, information, and traffic updates. Each ADAS-equipped car will eventually collect a plethora of information (driving scenarios), and as the system becomes smarter, the chance of committing a grievous error will reduce. At some point in the future, the ADAS system will eventually surpass human capability and reflexive actions.


 

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Sources:

EETimes

Topics: FPGA, ADAS, Autonomous Driving

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