Automated Driving

By: Bank of BAroda
Tue Jan 12, 2021
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Automobile industry is pioneering increased innovation, technology adoption and development of high-performance and fuel-efficient vehicles. The global automotive industry is moving towards stringent passenger safety driven by consumer awareness. Factors such as strict driving safety norms and rising investment in research & development in the automotive industry are propelling the driving simulator market.

Economics of the driving simulator market is lucrative. The global driving simulator market is projected to reach USD 2.4 billion by 2025 from an estimated USD 1.7 billion in 2019, at a CAGR of 6.32% as per a research report by MarketsandMarkets.

Deep learning autonomous simulation developed by Israel based Cognata gives the learner a real feel of the actual driving conditions. Using patented technology and deep learning algorithms they create an entire city-simulator including buildings, roads, lane marks, traffic signs, etc. Further they can add dynamic layers of drivers and pedestrian behaviour along with local weather conditions based on historical data.

Driving conditions from vehicles as well as human movements affect traffic. Mastering human traffic movements can be key in certain close call situations while driving.

Latent Logic provides AI-based human behavior models for autonomous vehicle simulation. The company leverages machine learning to develop hyper-realistic human behavior models & driving simulators. By extracting and extrapolating raw data  to detect patterns in road usage by users  & tracking their movement, Latent Logic develops AI models to imitate those usage behaviors. Its virtual human models can be integrated with preferred simulators via standard APIs. This simulator gives driving learners a real life like situation to master.

Ascent Robotics utilizes AI-based software for robotics and autonomous vehicles. The software enables autonomous robots & vehicle models to represent an abstract understanding of the world that is interpretable to humans. They use simulation, traditional engineering and a rapid development cycle for incorporating machine learning methods.

Increased Government regulations pertaining to driving simulators for training are expected to boost demand. Driving simulator startups are responding enthusiastically and giving a filip to road safety for the entire eco system.

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