Artificial Intelligence (AI) will ensure that autonomous vehicles (AVs) function and adhere to safety regulations, according to an article from GlobalData, available through the IEEE DiscoveryPoint for Communications platform.
Globaldata’s Artificial Intelligence in Automotive report highlights the significant benefits of AI in the automotive industry. It has already transformed large parts of the automotive value chain, enhancing efficiency, fostering innovation, and improving product quality. The report predicts that AI will continue to revolutionize the industry, with machine learning (ML), computer vision (CV), and natural language processing (NLP) playing cruical roles in the development of AVs.
Outlining the roles for each of the AI fields, the report explains:
- Machine learning (ML) is a critical player in the training of AVs. It equips them with the ability to recognize patterns in sensor data, make decisions, and enhance their performance over time. These skills are crucial for AVs to identify and respond to traffic signals, obstacles, and other vehicles, ensuring their safety and reliability.
- Computer vision (CV) algorithms are the backbone of AVs, processing the visual data captured from cameras and sensors. They are adept at detecting and classifying objects like pedestrians, vehicles, and road signs, ensuring the accuracy and precision of AVs.
- NLP allows AVs to understand commands, provide information, and communicate intentions, enhancing user experience and safety. Automotive dealerships have long used NLP in retail as a voice-powered chatbot for dealerships.
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