Lucy Rana, Renu Bala
S.S Rana & Co. 8 min read
Artificial intelligence has been consistently transforming various industries across the world. However, the Automobile Industry is one, which has arguably seen the most developments in its processes and practice, due to development in AI. AI, for quite some time now, is being applied in different parts of the automotive value chain. AI is being used in the designing, manufacturing, production and post-production process.
Every facet of this industry is being benefited by this transformative technology. Furthermore, the most debated aspect of AI i.e its use in ‘driver assistance’ is quickly gaining momentum in different parts of the world – with Tesla inarguably being one of the modern pioneers of this aspect of AI.
Level 1 and Level 2 autonomous vehicles along with parking assistance and cruise control are gaining popularity for their use of AIs. If the current pace is maintained, within the upcoming 8-10 years, AI technology would be present in a majority of automotive applications and by the end of 2030, it is expected that 95-98% of new vehicles would have AI to some extent[1]. Autonomous vehicles are those that use artificial intelligence in some or all areas of functioning.
Level 1 vehicles include driver assistance, Level 2 includes partial automated driving, Level 3 incorporates conditional automated driving while level 4 & 5 cars have high/full automated driving. In light of such developments, it is not in the realm of the impossible that in the coming years, vehicles may be known by their software providers as opposed to being known by their hardware manufacturers. Many popular software based companies such as Google, Amazon, Uber have stepped into the realm of autonomous vehicles. One can look forward to observe the fascinating solutions that AIs could introduce to traditional problems which could even transform the functioning of the entire automotive sector.
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