Autonomous Vehicles And A System Of Connected Cars

Oct 30, 2020

Autonomous Vehicles And A System Of Connected Cars

Commuters

currently face numerous transportation inefficiencies. The average American

loses [99

hours](https://inrix.com/press-releases/2019-traffic-scorecard-us/) annually due to traffic, aggregating to an missed opportunity cost of

about $100 billion. In addition, almost [1.5

million people](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwjc0JGp7sTsAhXLo54KHc1uAAEQFjACegQIChAC&url=https%3A%2F%2Fwww.asirt.org%2Fsafe-travel%2Froad-safety-facts%2F&usg=AOvVaw1sDVtexi8ZGuhwCrBnftxI) die in collisions yearly, with up to 50 million others suffering

from non-fatal injuries. Looking at it from a macro standpoint, car crashes

account for an economic loss of almost [**$1

trillion every year**](https://www.latimes.com/business/autos/la-fi-hy-economic-impact-of-traffic-accidents-20140529-story.html).

The auto

industry is undergoing a shift to vehicle autonomy. Concurrently, recent

advancements have been made in [car

connectivity](https://www.sciencedirect.com/science/article/pii/S2095756418302289), a frontier that will (eventually) involve a system of

autonomous vehicles (AV) that communicate with each other. With driving

processes becoming automated and linked, transportation efficiency will

increase and the issues above will be mitigated.

A system of

connected AVs involves vehicle-to-vehicle (V2V) communication across a network.

A key point of emphasis is that, for the maximum benefit, **all the vehicles

in the system must be fully autonomous.** Subsequently, the interactions

between self-driving cars will bring a plethora of positive outcomes.

Congestion can

drastically be alleviated through V2V communication. Connected AVs can send

traffic updates, detours, and make maneuvers quicker and safer than humans can.

In fact, a group of self-driving cars working in conjunction can reduce traffic

by [up

to 35%.](https://www.sciencedaily.com/releases/2019/05/190519191641.htm)

In addition,

with a system of connected cars, the number of accidents can be significantly reduced.

According to the NHTSA, V2V communication can be counted on to mitigate [~80%

of car crashes](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwj8tuLX8cbsAhVKrZ4KHQPEAKEQFjACegQIBhAC&url=https%3A%2F%2Fwww.safercar.gov%2Fstaticfiles%2Fsafercar%2Fconnected%2FConnectedVehicleTechnologyFactSheet-081012.pdf&usg=AOvVaw35ailxuGQcKry-uLTypLRi). Combining this with the collision protection that comes

with AVs (check out former posts related to accident prevention on our blog), self-driving cars in

collaboration has potential to yield tremendous safety benefits.

For the positives

of a system of linked cars to be reaped, vehicles must operate on their own **without

any human intervention** - [human

error](https://www.hg.org/legal-articles/car-accidents-are-almost-always-due-to-human-error-50458) is the main factor in transportation inefficiency. As a result, a fully

autonomous connected system truly has the potential to solve all the problems stated

earlier.

When humans

drive, our brains process the plethora of surrounding visual cues in real-time

with almost 100 billion neurons, producing a data center level of compute while

consuming less power than a lightbulb. To mimic these capabilities, an AV must

be equipped with a platform that can generate a minimum of 75

Tera-Operations-Per-Second (TOPS) of compute for every watt of power

consumption. This unsolved optimization problem is known as the **visual

perception problem**.

Unfortunately,

systems in cars today can only enable partial autonomy. These platforms are

based on legacy technology and are not purpose-built to solve the visual

perception problem. A novel, unique solution must be brought to the market that

can enable fully autonomous vehicles.

We @ Recogni are developing such a solution.

Through leveraging key innovations in math, ASIC architecture, and AI, our

platform generates 100 TOPS of compute for every watt of power consumption,

clearly solving the visual perception problem outlined above. Because of these

capabilities, our product is indispensable for full autonomy. OEMs must

horizontally integrate our solution into their vehicles to allow society to

experience the plethora of benefits that come with connected AVs.

*To learn more

about Recogni, check out [www.recogni.com*](http://www.recogni.com)

By Sidhart Krishnamurthi, Product Management @ Recogni

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