"Autonomous" is it ML , AI or DL

ML - Machine Learning

AI - Artificial Intelligence

DL- Deep Learning

Autonomous Technology- Autonomous cars Autonomous, or self-driving, vehicles have been talked about for years, if not decades. In the real sense , self driving cars appeared in movies specially in Bond Movies . Remote controlled cars were also being potentially hard wired. Now the remote in your mobile phone is your gateway to Autonomous cars. . From Lotus to Lamborghini every one has a concept developed or being developed . That means Budgets have been allocated to self driving cars .

Self Driving cars or Autonomous cars have five levels of autonomy .

Level 1: This driver-assistance level means that most functions are still controlled by the driver, but a specific function (like steering or accelerating) can be done automatically by the car.

Level 2: In level 2, at least one driver assistance system of "both steering and acceleration/ deceleration using information about the driving environment" is automated, like cruise control and lane-centering. It means that the "driver is disengaged from physically operating the vehicle by having his or her hands off the steering wheel AND foot off pedal at the same time. The driver must still always be ready to take control of the vehicle, however. 

Level 3: Drivers are still necessary in level 3 cars, but are able to completely shift "safety-critical functions" to the vehicle, under certain traffic or environmental conditions. It means that the driver is still present and will intervene if necessary, but is not required to monitor the situation in the same way it does for the previous levels. To ask the driver to instantaneously intervene might not be a fair proposition.

Level 4: This is what is meant by "fully autonomous." Level 4 vehicles are "designed to perform all safety-critical driving functions and monitor roadway conditions for an entire trip." However, it's important to note that this is limited to the "operational design domain (ODD)" of the vehicle--meaning it does not cover every driving scenario.

Level 5: This refers to a fully-autonomous system that expects the vehicle's performance to equal that of a human driver, in every driving scenario--including extreme environments like dirt roads that are unlikely to be navigated by driverless vehicles in the near future.

However, IoT and machine learning technology has its limitations in the autonomous vehicle realm. 

Along with technological limitations, safety is another major barrier to both development and public adoption.

Being Fast and Being Safe is still under the "Concept" mode.

Un , Dous Tres ...The top three leading the highway

Waymo, GM Cruise, and Argo AI.

1. WAYMO

Google and their Waymo spin-of is by far the most recognized leader in the area. Fully autonomous rides have been tested, but it's unclear whether these rides will become mainstream. Regardless, the prospect is the most advanced gesture yet from an autonomous vehicle company.

Waymo's the self-driving sensor suite consists of LiDAR, cameras, and radar, as well as microphones to detect sounds such as sirens. Like a person's own five senses, Waymo's self-driving technology is more powerful as a whole than the sum of its parts; each sensor complements the others.

Waymo began developing its own hardware and sensors in-house in 2011 when it found nothing else on the market provided the functionality that would enable level-four vehicles and fully driverless cars, the company said.

Waymo is pretty unambiguously the leader as the company has come closest to producing a level five automobile than any other company. 

2. GM CRUISE 

GM Cruise is in a pretty good position, A General Motors subsidiary, Cruise is also a big name in the autonomous vehicle game. 

With billions of dollars in investments from SoftBank, Honda, GM, and T.Rowe Price Associates GM Cruise has a significant number of vehicles on the road: 180 vehicles in testing, which is by far the second largest number of vehicles in testing and have demonstrated hunger and ambition about their timeline for launching.

Perhaps a little too ambitious, recently pushing back the launch date for its driverless taxi service from late 2019 to early 2020. The self-driving cars the company has produced, however, are advanced.

Unlike other autonomous vehicle companies, being deeply integrated with one of the world's largest automakers like General Motors positions Cruise to manufacture self-driving cars on an assembly line in Orion, Michigan, which is capable of producing hundreds of thousands of vehicles per year.

The Cruise vehicles use machine learning techniques, cloud-based tools, and IoT sensors to gather data about their surroundings and make intelligent decisions based on that insight.

3. ARGO AI

Argo AI is an independent company that started in 2017, with a $1 billion investment from Ford Motor Company. Volkswagen only recently joined investing another $2.6 billion.

Argo AI specializes in a different platform than its competitors in that it isn't striving to develop a car or operate a service. Rather, the company's goal is to develop the self-driving system.What's unique about Argo is that they are developing the self-driving system. The benefit of close partnerships with car manufacturers is that Argo AI is able to focus on the technology, developing it at a much deeper level.

The outside of Argo AI-equipped vehicles have a combination of sensors -- LiDARs, radars, and cameras. The LiDAR is used to locate the distance of objects, and cameras help with depth perception to lead into safety and cognitive abilities which can scale up on demand.

Two people are in all of Argo AI's vehicles at all times, in case the vehicle needs intervention from a driver, Twork added. The second person is there to help take notes on the car's functionality and behavior, locating areas in which the software can be improved.

While completely autonomous vehicles won't become mainstream in the next few years, Waymo, GM Cruise, and Argo AI are making significant advances in the driverless car market. As IoT technology continues to improve, strides toward fully autonomous vehicles are sure to follow. 

Happy Driving is possible !