• Olivia

Self-Driving Cars Industry To Showcase Promising Growth Owing To Rising CO2 Emissions

What Are Self-Driving Cars?


A self-driving or autonomous vehicle is one that can operate and perform necessary functions without human intervention due to its ability to sense its surroundings. It employs a fully automated driving system to enable the vehicle to respond to external conditions that a human driver would handle.


Autonomous vehicles are driving the future of mobility. Parking assist, collision avoidance, and emergency braking technologies are redefining everything from commercial delivery vehicles to race cars. The market for self-driving cars was valued at USD 20.3 million in 2021 and is expected to grow to USD 53.0 million by 2028.



The hype surrounding driverless cars has grown rapidly in recent years, with many major technology companies embracing the concept. Google established the Waymo division to develop and market consumer-ready driverless vehicles globally. The company, along with several others in the tech and auto industries, believes that driverless cars will significantly alter the way we travel in the near future. Safer roads, fewer fossil fuels, and lower transportation costs will be among the revolutionary changes.


How Do Self Driving Car Works?


To execute software, self-driving cars rely on sensors, actuators, complex algorithms, machine learning systems, and powerful processors.


Based on numerous of sensors located throughout the vehicle, self driving cars create and maintain a map of their surroundings. Radar sensors track the movement of nearby vehicles. Traffic lights, road signs, other vehicles, and pedestrians are all detected by video cameras. Lidar (light detection and ranging) sensors measure distances, detect road edges, and identify lane markings by bouncing light pulses off the car's surroundings. When parking, ultrasonic sensors in the wheels detect curbs and other vehicles.


After that, sophisticated software processes all of the sensory input, plots a path, and sends commands to the car's actuators, which control acceleration, braking, and steering. The software follows traffic rules and navigates obstacles thanks to hard-coded rules, obstacle avoidance algorithms, predictive modeling, and object recognition.


Driving Automation Levels

The Society of Automotive Engineers (SAE) classifies driving automation into six levels, ranging from 0 (completely manual) to 5. (fully autonomous). The US Department of Transportation has adopted these standards.


Level 0 - No Driving Automation

The vast majority of vehicles on the road today are Level 0: manually controlled. Although there may be systems in place to assist the driver, the "dynamic driving task" is provided by the human.


Level 1 - Driver Assistance

This is the most basic form of automation. The car has a single automated system for driver assistance, such as steering and accelerating (cruise control). Adaptive cruise control, which keeps the vehicle a safe distance behind the next car, is classified as Level 1 because the human driver monitors other aspects of driving such as steering and braking.


Level 2 - Partial Driving Automation

This refers to advanced driver assistance systems, abbreviated as ADAS. The vehicle is capable of steering as well as accelerating and decelerating. Because a human sits in the driver's seat and can take control of the car at any time, the automation falls short of self-driving.


Level 3 - Conditional Driving Automation

Level 3 vehicles are capable of "environmental detection" and can make intelligent decisions for themselves, such as accelerating past a slow-moving vehicle. However, they still require human intervention. If the system is unable to complete the task, the driver must remain alert and ready to take control.


Level 4 - High Driving Automation

Level 4 vehicles can operate autonomously. However, until legislation and infrastructure evolve, they can only do so in a limited area, typically an urban environment with top speeds averaging 30mph. This is referred to as geofencing.


Level 5 (Full Driving Automation)

The "dynamic driving task" is eliminated in Level 5 vehicles because it does not require human attention. Level 5 vehicles will not have steering wheels or accelerator/braking pedals. They will be geofenced-free, able to go anywhere and do anything that a skilled human driver can. Fully autonomous vehicles are being tested in various parts of the world, but none are yet available to the general public.


In Conclusion..

The possibilities for increasing convenience and quality of life are endless. The elderly and physically disabled would be able to live independently. However, the real promise of self-driving cars is the potential to significantly reduce CO2 emissions. Experts identified three trends in a recent study that, if implemented concurrently, would unleash the full potential of self-driving cars: vehicle automation, vehicle electrification, and ridesharing.

7 views