Revolutionising the automotive industry: Unleashing the power of AI, telematics, and ADAS

AI is playing a significant role in transforming the automotive industry, making vehicles safer, more efficient, and connected

Picture this: a futuristic vehicle cruising down the road, reminiscent of the iconic DeLorean from “Back to the Future.” This isn’t just fiction anymore, all thanks to AI. With technology going through a rapid evolution, the automotive sector is undergoing a fierce transformation. In the last few years, the automotive industry has had tremendous growth largely owing to technology like ADAS systems, telematics devices, sensors, etc. Significant changes like the shift towards electric, developments in battery technology, connectivity, etc. have resulted in cars now being safer, more efficient, and connected than ever before.

Role of AI in the Automotive Industry

The automotive industry is undergoing a transformative shift driven by advancements in technology, and AI is playing a crucial role in this evolution. AI technologies such as robotics, voice analytics, computer vision, and machine learning are contributing to the development of autonomous vehicles and making the automotive sector more productive and efficient. The AI market in the automotive industry is projected to grow at a rate of 21.6% from 2022 to 2030, indicating the increasing significance of AI in this sector.

AI-driven systems support functions across almost five levels of vehicle automation established by the Society of Automotive Engineers (SAE) and the National Highway Traffic Safety Administration (NHTSA). These systems handle tasks such as steering, braking, accelerating, and providing real-time warnings and alerts based on data analysis. Major players in the automotive sector are leveraging AI to optimize operations, improve security, and reduce costs and production time. AI empowers product designers and development teams to create customized car models that meet consumers’ demands.

The in-cabin experience of automobiles has been redefined by AI. Virtual assistants and intelligent driving support systems have been enhanced to provide a more intuitive, interactive, and personalized experience. AI-powered voice interfaces make it simpler for users to communicate with the vehicle’s technology. Luxury vehicles have already introduced individual display screens for each passenger, and now car manufacturers are implementing advanced technology to create personalized audio zones for every passenger. This innovative approach utilizes noise cancellation technology to create an individual audio bubble for each passenger, allowing them to enjoy their preferred audio and engage in video calls without disturbing others. The entertainment systems in cars often surpass the quality of consumers’ home hi-fi systems, and personalized audio has the potential to further amplify the value of car hi-fi systems.

Semiconductors play a crucial role in transforming the automotive industry with AI. Specialized AI chips or accelerators provide the high processing power required for AI applications in vehicles, enabling real-time object detection, decision-making, and sensor fusion. Semiconductors enhance cloud capabilities, enabling AI algorithms to run on edge devices inside vehicles, reducing response times, decreasing dependency on network connectivity, and increasing privacy and security. Semiconductors are also used to integrate various sensors into vehicles, including cameras, radar, lidar, and ultrasonic sensors. These sensors gather information about the surrounding area, which AI algorithms subsequently process for activities like object detection, localization, and perception. Semiconductors are crucial in building safety safeguards, redundancy features, and fail-safe capabilities to ensure the dependable functioning of AI-driven services in cars.

Government Support

The Indian government actively encourages the adoption of AI-based solutions in the automotive sector, particularly in electric mobility. Initiatives like Digital India and Startup India promote the digitization of industries, including automotive, providing incentives, funding support, and regulatory assistance to startups focusing on AI-driven solutions. The government’s commitment to using AI and telematics to improve road safety is evident in the National Policy on Intelligent Transportation Systems. These efforts aim to enhance connectivity, promote digital literacy, and encourage the adoption of emerging technologies like AI in the automotive sector.

Challenges

Hitesh Garg,
Vice President & India Country Manager,
NXP Semiconductors

There are challenges to overcome in fully realizing the potential of AI in the automotive industry. Cost considerations, infrastructure development, software development, and hardware costs can pose challenges in offering accessible and efficient AI capabilities, especially in mass-market vehicles where cost is crucial. While improvements in semiconductor technology have made it easier to integrate AI, optimizing computational power and energy use remains a difficult task. The availability of high-quality data is essential for training and functioning AI algorithms, which can be challenging to curate for different datasets. Ensuring the accuracy, dependability, and security of data, particularly in safety-critical applications like autonomous driving, is an ongoing focus area.

Conclusion

AI is playing a significant role in transforming the automotive industry, making vehicles safer, more efficient, and connected. The Indian government’s support and initiatives are fostering the adoption of AI-driven solutions in the automotive sector, particularly in electric mobility. However, challenges related to infrastructure development, cybersecurity, and data protection need to be addressed to ensure the safe and ethical integration of AI technologies. Collaboration between the government and industry stakeholders is crucial in overcoming these challenges and accelerating the transformation of the automotive industry with AI.

Disclaimer: The views expressed in this article are those of the author and do not necessarily reflect the views of ET Edge Insights, its management, or its members

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