How AI is Paving the Path for Autonomous Vehicles2 min read
AI is playing an important role in the development of self-driving cars or autonomous vehicles (AVs). AVs are currently transitioning from the virtual to the early stages of development in real-world applications like ride-hailing and freight handling.
Real-time data is being utilized to construct elaborate simulations that will aid AI in responding to unanticipated events. AI in autonomous vehicles is being used to construct elaborate simulations that will aid AI in responding to unanticipated events.
AI is helping improve various systems, including path planning, predictive maintenance, vehicle control, and vision. It is being integrated into autonomous vehicles to not only do away with human intervention while driving but also to optimize travel routes and reduce traffic congestion.
However, the high cost of investment, insufficient profitability, and time needed in AV manufacturing has caused several manufacturers to quit the market. The COVID-19 pandemic has also temporarily halted many AV experiments. Nonetheless, firms such as Tesla, Baidu, and Waymo are working to develop more secure and dependable electric vehicles.
AI and machine learning, according to GlobalData, are transforming vehicles into intelligent and flexible systems. To protect passenger data from fraudulent activity, AVs are embracing cybersecurity. Using synthetic training data, generative AI is utilized to run virtual testing in a controlled setting. This method enables more efficient and successful training of AVs.
Global corporations, including Honda, BMW, and Continental AG, are already using AI in autonomous vehicles. Continental AG is developing data-driven solutions to traffic safety using deep learning and artificial neural networks. BMW is employing big data and machine learning to improve driving algorithms, while Honda has adopted machine learning solutions to boost operational efficiency and profitability.
AI is integral to the functionality of autonomous vehicles, and it is assisting in addressing numerous challenges, including safety, dependability, and overall vehicle performance.Also Read: Artificial Intelligence in Parking
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