Quest Global Aims to Enhance Vehicle Safety Using Deep Learning

Product engineering and lifecycle services company, Quest Global, plans to demonstrate Deep Learning-powered Advanced Driver Assistance Systems (ADAS) at CES (Consumer Electronic Show), 2020. The deep learning models developed by Quest Global intend to augment ADAS by enhancing the accuracy in detecting traffic signs, pedestrians and traffic. This improved ADAS would be demonstrated at Booth #1909, Westgate Pavilion.

The ADAS demonstration has been developed by training deep learning models using synthetic data representing various environmental conditions and terrains. The deep learning ADAS are 25 percent more accurate as compared to the ones developed using classic image processing procedures. The company has further optimized its performance of the applications to improve interpretation of both simulated and real-time data, by clinching its strong capabilities in high-performance vision processing and deep learning.

Being a trusted partner, Quest Global has been working with the world's most renowned companies in the automotive industry for the last two decades. Furthermore, the company is committed to allow its customers to create the Frontier by advancing the way people drive, travel and interact with each other.

"The automotive industry is rapidly adopting autonomous, connected, electric and shared technologies. However, lack of variety of data is one of the major hurdles faced by the industry. QuEST Global is committed to solving such industry challenges for our global automotive customers by enabling the future of mobility. This deep learning model developed by our engineers has shown higher accuracy rates and it can continuously evolve while training of the deep learning models continue," says Berthold Puchta, Global Industry Leader – Transportation, Quest Global.

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