As the automotive industry experienced ups and downs, the only thing that keeps the companies going is 'innovation'. Power steering, e-cars, autonomous driving, airbags, mobility apps, and digital services are some of the technological innovations that define a good car and help a car brand drive to the top of the highly competitive marketplace.
A driverless car running on the road is like a screenshot from a sci-fi movie.
AI technology complements the concept of self-driving cars.Elon Musk had in 2017 that all cars will be #autonomous in 10 years without any steering wheel.
Installation of self-sufficient cars.AI & Automotive — Use casesThe following is the wave of disruptions caused by AI in the automotive industry at high levels of abstraction.Use Case 1 — Design:From brainstorming to developing a working car model, design and development engineers consider many aspects to be as user-friendly as possible.Here are some use cases that show how OEMs use AI to accelerate their designworkflows:Nvidia’s architecture uses AI, real-time ray tracing and programmable shading to transform the traditional product design process.
This reduces the time taken for design approval.General Motors DreamCatcher uses Machine Language (ML) for economic modeling.To Know About-Â Predictions On Self Driving Car Timeline From Top Automakers In The WorldThe future of car designs lies with generative design, where AI algorithms produce hundreds of potential designs by defining a product idea or problem.
Therefore, companies like Konex feed the sensor data into an AI system that crunches to improve system performance.Future auto factories will only have flexible production centers under the supervision of unmanned systems such as the Audi Vision 2035 Smart Factory.Use Case 3 — Supply Chain:The automotive supply chains are one of the most complex networks in the world.
AI-powered supply chains are being used to analyze massive amounts of data that can be accurately predicted.Blue Yonder uses AI techniques to optimize its estimation and replenishment while adjusting prices.To Know About-AI In Transportation: Artificial Intelligence in the Transportation IndustryAI allows fully automated automation systems to make supply-chain management decisions, adjust routes and volumes to meet projected spikes.Use Case 4 — Quality Control:Quality control, such as inspecting painted car bodies, is slow, laborious, and vulnerable.
