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Ingenious e-Brain Solutions forecasts that artificial intelligence will transform the cars in the near future as many companies such as Hyundai, Lear Corporation, Yamaha, Volkswagen, and others are working around different AI algorithms and have developed their solutions at various stages (ideation or concept, prototype, pre-commercialized, and commercial).
In the automotive industry, AI provides solutions to drivers or passengers to relieve stress, discomfort, anxiety, drowsiness, maintaining temperature, humidity, weather, climate, and improving visualizations. The AI technologies used are machine learning, deep learning, neural network, facial recognition, bayesian network, fuzzy logic, and classification algorithm.
In this report, the use of artificial intelligence or any other computational algorithm for the wellbeing or comfort of passengers and drivers is highlighted along with some of their technology development partners, solutions from other industries such as healthcare, aerospace, entertainment, and others which can be implemented in the automotive industry are listed, along with some other sections which are listed in the table of content of the report.
The key players profiled in the report are Tesla, Toyota, Volkswagen, Nio, Daimler, General Motors, BMW, Stellantis, Honda, and Hyundai. These are the ten leading automotive companies that started their journey towards implementing artificial intelligence for providing comfort or wellbeing to passengers.
IEBS has also highlighted key emerging or startup players in the domain along with their developments. Most startup players are enabling better visuals, improving audio, offering diagnostics or gesture recognition technology.
These systems’ essential fusystems’in autonomous vehicles are object detection, safety systems, driver monitoring, eye tracking, virtual assistance, gesture controls, automated driving, speech recognition, voice recognition, mapping system, and others.
Key areas where different players are working for providing comfort to the passengers are solutions for reducing stress, driverless cars, driver assistance solutions, detecting behavior, monitoring systems to monitor the state, diagnose the health, and monitoring other parameters of the passengers.
Tesla cars are working on the progress made on their semiconductor, designed in-house specifically to train the neural network that powers autonomous driving (2021).
Chipmaker Xilinx and auto giant Daimler collaborate to develop an in-car system using Xilinx technology for artificial intelligence processing in automotive applications (2018).
California-based Eyeris Technologies, a leading player in vision AI for in-cabin sensing, has announced its collaboration with Texas Instruments (TI) on an industry-first in-cabin sensing AI solution, using TI’s Jacinto TDTI’srocessors and 2D RGB-IR image sensors, at the Consumer Electronics Show (CES) 2021. The TDA4 SoC processor enables efficient inference of the Eyeris deep neural network (DNN) portfolio from multiple RGB-IR cameras simultaneously.
Ford is one of the automotive companies currently in the running to be the first to mass-produce a level 4 capable vehicle and has partnered up with a number of Silicon Valley startups and firms with specific expertise in areas they lack. It delivers high performance during daylight and at night, enabling the detection of vehicles, pedestrians, bicyclists, motorcyclists, and more.
On Apr 3, 2020, USPTO published a patent application of General Motors that discloses an invention related to “Decentralized “distributed Map Using Blockchain.” The issue that” this patent looks to be trying to solve in the driving space is related to the dynamic feedback of mapping around a car.
On Feb 5, 2020, Nissan announced that it completed a 230-mile driverless journey in Britain.
Tesla, Toyota, Volkswagen, Nio, Daimler, General Motors, BMW, Stellantis, Honda, and Hyundai are the top ten players in the domain.
Neural network, machine learning (broad), Bayesian network, deep learning, image recognition, fuzzy logic, and classification algorithm are some of the most used AI algorithms in these solutions.
Most of the companies are at the prototype development stage, followed by a commercially used solution, then by early-stage R&D.
North America and Asia Pacific regions are the highly active ones, where the majority of companies are working around implementing AI for wellbeing or comfort in the automotive industry.
Yes, Ingenious e-Brain Solutions offers customized reports around every industry, and for this, you can also discuss all customization requirements you have. Our team will provide consulting reports accordingly.