[Example] Image recognition technology for autonomous driving

Evaluating the trained model! We will introduce a case where performance was analyzed through quantitative and qualitative methods, and issues were identified!

As an issue, it has been pointed out that "the number of driving accidents involving elderly people is increasing, and in order to mandate automatic braking, it is necessary to enhance the overall recognition accuracy of signals, vehicles, signs, road surfaces, and pedestrians." In response, our company has carried out tasks such as data organization, preprocessing, model construction, model performance analysis, examination of learning methods, and examination of recognition algorithms. While consulting with client representatives on multiple themes during the above processes, we improved the model. 【Case Overview】 ■ Issue - The number of driving accidents involving elderly people is increasing, and in order to mandate automatic braking, it is necessary to enhance the overall recognition accuracy of signals, vehicles, signs, road surfaces, and pedestrians. ■ Work Content - Data organization, preprocessing, model construction, model performance analysis, examination of learning methods, examination of recognition algorithms. - Improved the model while consulting with client representatives on multiple themes during the above processes. *For more details, please refer to the PDF document or feel free to contact us.

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