Technologies Used in Autonomous Cars | DxMinds

Technologies Used in Autonomous Cars

Autonomous cars have made a debut in the automobile industry and it is going to be the never ender future of this industry with worldwide acceptance. Till now, the manufacturing and use of autonomous cars are very limited but with the technological advancements and innovations, autonomous cars are going to rule this industry. The preliminary benefit offered by the autonomous car is increased security. Today, most automobile manufacturers are heading towards designing and manufacturing autonomous vehicles and exploring more opportunities to enhance the user’s experience with state-of-the-art technology.

The United States is already in the race to develop the best and the pioneering designs for autonomous cars and have already designed a few successful models with advanced driver assistance system (ADAS).

The major features already incorporated in the ADAS are an automatic emergency braking system, automatic cruise control system, land departure warning, and many more. Now, most automobile companies are willing are see exponential advancements in the development of autonomous cars using the latest technologies to encourage responsible driving.

Major autonomous car technology companies in the present era are:

  • Google
  • Tesla
  • Baidu
  • General Motors
  • Toyota
  • Nvidia
  • Ford
  • nuTonomy
  • BMW
  • Oxbotica

The major component of autonomous cars are:

  • Data storage
  • Sensors
  • Data processing
  • Power
  • Software
  • Drive-by wire

Most of the autonomous car technology companies are exploring the technological sector to enhance the existing solution and come up with a magnificent solution. Are you willing to know more about self-driving car technology stocks? Then you must first know the various levels of autonomous cars.

Various autonomy level breakdowns are as follows:

Level 0: This level of cars are not having any automated control over the cars, the only difference it creates in driving is that it just reduces the promptness of driver’s hazards. 

Level 1: The cars with level 1 the control of the cars are shared among driver and inbuilt automated system. An example of this type of car can be seen in most of the cars with ADAS.

Level 2:In level 2 autonomous cars, the inbuilt system is capable of taking full control of the car, but it requires a keen concentration of the driver to take over the control of the system fails to avoid or tackle any serious hazards.

Level 3: In the 3rd level of autonomous cars, you can rely on the system for driving and giving you’re a safe journey measuring each hurdle precisely. The system of such cars is capable of taking full access of the car driving, still, if a driver wishes to intervene in the journey he will be able to do that.

Level 4:With autonomous cars of level 4, the driver can completely take his attention of the driving and let the system take them to the desired destination with complete safety. Such vehicles are limited with geo-locations because these cars are well coded with the algorithms of geo-locations as well to make your drive more safe and comfortable.

Level 5:It is a complete self-drive model which requires zero human interventions.

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    Technologies used in autonomous cars:

    Artificial Intelligence:

    Artificial intelligence is the epicenter around which the concept of autonomous cars revolves. The basic concept of incorporating artificial intelligence in this concept is to remove the manual assistance and upgrade it with an artificial brain that not only can make wiser decisions like a human but also can control all the required functionalities. This technology also incorporates deep learning which inhibits neuron activity and enables the system with several support systems like voice and image recognition. The market of artificial intelligence is expected to reach $10.5 billion by 2025.

    Read More – impact of artificial intelligence in the automotive industry

    Responsibility-Sensitive Safety (RSS) Framework:

    The autonomous is the talk of the town right now and one of the major solutions for which it has obtained this recognition all across the world is the safety and security it offers to the traveler. The safety and security offered by the autonomous cars are not only for the passengers traveling in it but also offers robust safety to other vehicles traveling along and the pedestrian. Another technology used in autonomous cars is Responsibility-sensitivity-safety (RSS) framework. This one of the major safety standards developed by one of the biggest technology giants well-known as Intel and it is becoming the biggest reason for which this car concept has attained worldwide acceptance.

    This technology ensures the safety operations of an autonomous car and keeps control over the cameras, sensors, and other objects placed to analyze and monitor the environment occurring in between the journey.

    Network Infrastructure:

    Continuous and rapid connectivity is one of the most basic features that an autonomous car must possess. To make driving more convenient and safe, such cars are having great connectivity with the cloud infrastructure. The emergence of the 5G network is giving a scope of high-speed connectivity ensuring the promptness of the signal.

    The network infrastructure offers various protocols of autonomous car connectivity, which are listed below:

    Vehicle to infrastructure communication:

    To operate effectively the autonomous vehicles need to establish communication with various infrastructures to make the journey safer and convenient. Vehicle to infrastructure communication allows the cars to exchange data with the infrastructure surrounding them, such as traffic lights, signage, speed limits, and many more. Connecting with these data allows the vehicle to keep control over speed based on the location.

    Vehicle to vehicle communication:

    Vehicles are mending to drive in a crowded road with multiple vehicles along. Hence an autonomous vehicle needs to establish a smooth and rapid contact with the vehicles driving along. It allows the car to permit the automated system a safer operation to keep the traffic situations under control.

    Sensor technology:

    The next important technology used in autonomous cars is the active sensor. These sensors work on the principle of time of flight, where a transmitter transmits a signal to a certain object and after reflecting from the object the signal returns to the transmitter. The transmitter then calculates the distance of the object based on the time taken by the signal to travel from source to destination. Other sensors used in autonomous cars are ultrasonic sensors for sound navigation ranging, Radar for radio detection and ranging, and the most important lidar.

    Lidar is a light detection and ranging sensor that uses light to transmit a signal to its surroundings and receive information in return. Lidar sensor transmits approx. 50k-2 lakh signal at once and compile each signal to attain the most precise information from the surroundings and return a 3D map of an area around 250 meters.

    Conclusion:

    Autonomous cars are becoming a never-ending future of the automobile industry and several car manufacturers are still seeking the answers to how does an autonomous car works and the technologies used in autonomous cars to make it a flawless driving solution. The major technologies which are being the most robust pillars for the success of autonomous cars are artificial intelligence, network infrastructure, Responsibility-sensitivity-safety (RSS) framework, sensors, and IoT.

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