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QuEST Global demonstrate Deep Learning driven Advanced Driver Assistance Systems at CES

The deep learning models developed by QuEST Global aim to enhance ADAS by improving the accuracy in detection of traffic signs, pedestrians and traffic.

QuEST Global demonstrate Deep Learning driven Advanced Driver Assistance Systems at CES

QuEST Global, a global product engineering and lifecycle services company, will demonstrate Deep Learning driven Advanced Driver Assistance Systems (ADAS) at CES (Consumer Electronic Show) 2020. The deep learning models developed by QuEST Global aim to enhance ADAS by improving the accuracy in detection of traffic signs, pedestrians and traffic. This enhanced ADAS will be demonstrated at Booth # 1909, Westgate Pavilion.

The ADAS demo has been developed by training deep learning models using synthetic data representing various environmental conditions and terrains. Such deep learning driven ADAS are 25% more accurate than the ones developed using classic image processing techniques. By leveraging its strong capabilities in high-performance vision processing and deep learning, the company has further optimised the performance of the applications to improve interpretation of both simulated and real time data.

Commenting on this new innovation, Berthold Puchta, Global Industry Leader – Transportation, QuEST Global, said, “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 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.”