How Automated Car Works? – Self-Driving Cars

Automated car, also known as a self-driving car, works through a combination of sensors, software, and other technologies that allow it to navigate and operate without human intervention. Here is a brief overview of how an automated car works:

  1. Sensors: Automated cars use a variety of sensors to gather information about their surroundings. These sensors include cameras, radar, lidar, and GPS. Cameras provide a visual view of the car's environment, while radar and lidar use radio waves and lasers to detect objects and their distance from the car. GPS provides location information.
  2. Software: The information gathered by the sensors is processed by software that controls the car's movements. This software uses algorithms and machine learning to interpret the data and make decisions about how to navigate the car.
  3. Control systems: The software controls the car's control systems, which include the brakes, accelerator, and steering. The car's control systems are also connected to the sensors, allowing the car to respond to its environment in real time.
  4. Communication systems: Automated cars also have communication systems that allow them to connect to other cars on the road, as well as to infrastructure such as traffic lights and road signs. This communication allows the car to anticipate and respond to changing conditions on the road.
  5. Safety systems: Automated cars also have a range of safety systems that are designed to prevent accidents. These include emergency braking, collision detection, and lane departure warning systems.
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The top 5 companies working on automated cars:


Waymo: Waymo is widely considered the leader in self-driving technology. The company was originally part of Google's self-driving car project and became a standalone subsidiary of Alphabet Inc. in 2016. Waymo has been testing its autonomous vehicles on public roads since 2009 and has driven over 20 million miles on public roads and over 10 billion miles in simulation. In 2020, Waymo launched a commercial ride-hailing service called Waymo One in select areas of Arizona.

Tesla: Tesla is known for its electric cars, but the company is also heavily investing in autonomous driving technology. Tesla's Autopilot system uses cameras, radar, and ultrasonic sensors to assist with driving functions, but the system is not fully autonomous and requires human supervision. Tesla is also developing a more advanced system called "Full Self-Driving" that it plans to release in the near future.



General Motors (GM): GM is developing autonomous driving technology through its subsidiary, Cruise Automation. GM has been testing its autonomous vehicles on public roads since 2016 and plans to launch a self-driving ride-hailing service using Cruise vehicles in select cities in the near future.



Ford: Ford is investing heavily in autonomous driving technology and plans to launch a self-driving commercial vehicle in 2022. The vehicle will be used for ride-hailing and delivery services, and will be built on a new platform specifically designed for autonomous driving.

Uber: Uber is working on autonomous driving technology through its Advanced Technologies Group (ATG). Uber has faced setbacks with its self-driving program, including a fatal accident involving one of its vehicles in 2018. However, Uber is still considered a prominent player in the space and is investing heavily in the development of autonomous technology. In 2020, Uber sold its self-driving unit to Aurora Innovation, a startup founded by former Waymo executives. 

Technologies used in automated cars.

  1. Sensors: Automated cars are equipped with a variety of sensors, such as radar, lidar, and cameras, that collect data about their surroundings. This data is used to create a 3D map of the environment and to make decisions about driving functions.
  2. Artificial Intelligence (AI) and Machine Learning (ML): Automated cars use advanced AI and ML algorithms to analyze sensor data and make decisions about driving functions. This allows the car to learn and adapt to different driving scenarios.
  3. Global Positioning System (GPS): GPS technology is used to track the car's location and provide navigation information.
  4. High Definition (HD) Mapping: HD mapping technology creates detailed maps of the environment that are used to supplement the car's sensors and help with navigation.
  5. V2X (Vehicle-to-Everything) Communication: V2X technology enables the communication between vehicles and other devices, such as traffic lights and road signs. This allows the car to receive real-time information about road conditions and adjust its driving accordingly.
  6. Control Systems: Automated cars use advanced control systems to manage acceleration, braking, and steering functions. These systems are designed to respond quickly and accurately to changes in the environment.
  7. Cybersecurity: As automated cars become more connected and reliant on technology, cybersecurity is becoming an increasingly important consideration. Automated cars use a variety of cybersecurity measures to protect against hacking and other cyber threats.

The term are often used interchangeably but are different – Self Driving and Automatic Cars

Self-driving cars and automatic cars are not the same things, although they are often used interchangeably. Here are the main differences between self-driving and automatic cars:

·        Level of automation: Automatic cars are designed to handle certain tasks, such as shifting gears or maintaining a certain speed, but they still require a human driver to control the vehicle. Self-driving cars, on the other hand, are designed to operate without any human intervention, using a combination of sensors, software, and other technologies to navigate and operate the vehicle.

·        Technology: Automatic cars typically use simpler technologies, such as automatic transmissions or cruise control, to automate certain driving tasks. Self-driving cars use more advanced technologies, such as artificial intelligence, machine learning, and computer vision, to process and interpret data from sensors and make decisions about how to operate the vehicle.

·        Control: In an automatic car, the human driver is still responsible for controlling the vehicle, even if certain tasks are automated. In a self-driving car, the vehicle itself is responsible for controlling all aspects of the driving experience, without any human input or oversight.

To sum up, while both automatic cars and self-driving cars are designed to make driving easier and more convenient, self-driving cars represent a more advanced level of automation that has the potential to revolutionize transportation in the future.

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