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AVs : How is Self Driving Cars Shaping Up in 2020

The Autonomous Vehicles seems more promising in 2020 when covid-19 pose threat to humans

The future of fully autonomous driving cars looks promising than ever. From theoretical to actual usage we have started seeing complete AVs performance. The self-driving technology in use aims to make autonomous vehicles as convenient part of smart cities. Earlier this year Covid-19 epidemic gave rise to many new technology usages. China started using AVs or self-driving cars across the country in order to combat covid-19.  Not just that, Apollo and Neolix (chinese startup), are transporting essential food supplies to the Beijing Haidian Hospital to feed over 100 frontline staff members working with corona effected patients.

We know soon the full AVs (autonomous car) or self-driving cars will have sensors all around them. Sensors will interpret the driving scene with a 360-degree awareness in order to generate driving controls. Fully AV relies more on characteristics of the vehicle which is ACC – Adaptive Cruise Control. ACC is a nucleus of any ADAS (Advanced Driver Assistance System). It lowers or maintains vehicle’s speed automatically so that it sustains a safe distance between the two vehicles.

While in Europe to demo Autonomous vehicles technology reach to partially or entirely replace the human driver in navigating a vehicle. Intel’s MOBILeye, CEO has shown us unedited 40 minutes footage of its self-driving cars in an urban landscape, steering a difficult urban situation.

Intels Autonomous body Mobileye’s is powering todays AVs “autonomous vehicle”, or a more precisely driverless vehicle to without human intervention, through ability to sense its surroundings. One such was Mobileye’s AV driving demo of driver less car going through city for next forty minutes. The video is unedited 40 minutes’ video driving through different areas – only one interruption: that was when the drone the company had following the autonomous vehicle needed a new battery swapped in.

Unique in the self driving cars industry, Mobileye’s business model comprehends the entire automated driving value chain, including the front-facing camera that powers most of today’s Advanced Driver-Assistance Systems (ADAS), conditional autonomy – also known as level 2+ – and the self-driving system (SDS) for robot axis and consumer autonomous vehicles (AVs).

 For most autonomous vehicles Safety must command the software and hardware architecture in ways that are not obvious.” That is why self-driving vehicles have 6 different levels of automation exists. With each level, the AV or driverless automation for vehicle control increases.

Level 0Car is not Autonomous at any level – human driver does all of the driving.  
Level 01ADAS (advanced driver assistance system) helps the driver with either steering or accelerating and braking.  
Level 02ADAS can control or help control steering / accelerating / braking.
Level 03The ADAS turns into ADS (advanced driving system) perform all steering / accelerating / braking in controlled conditions, Human oversee and can regain control when ever needed
Level 04The vehicle’s ADS (advanced driving system) does steering / accelerating / braking independently in controlled conditions in which and human attention is not required.  
Level 05Full automated ADS (advanced driving system) is able to perform all tasks in all conditions, and no driving assistance is required from the human driver.  

Where do we stand in terms of Levels

Driverless vehicle with level 4 and 5 demos aren’t uncommon, of course. They are done in one of the easiest ways to drum up hype about a Level 4 or Level 5 which is to perform all driving tasks independently in situations. Usually the demos of self-driving car project takes a camera inside cars and, optionally, a few journalists – and send it off on a city route but this is just not the real AVs we need in our cities. Autonomous vehicles are more than this – up till where we see Autonomous vehicles in a ride-share environment with no risks of control issues of steering / accelerating / braking.

Challenges Faced by AV Industry

There are more technical challenges that risks growth but costs pose more risks in the AV industry’s growth. Most of the times software as well as hardware are performing in real situation.

autonomous vehicles research report
Forrester Consulting’s Autonomous Vehicles: Prototype to Production report, commissioned by Arm, was released in December of 2018 and surveyed 54 autonomous vehicle engineers responsible for making technology investment decisions.

Mobileye is leading in every one of these categories with the industry’s most advanced vision sensing technology, crowd-sourced mapping capability and the Responsibility-Sensitive Safety (RSS) driving policy. Read on to learn more about our progress.

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