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[Case Study] Automotive Image Recognition Control System

Improving the safety and response speed of autonomous vehicles through high-precision object detection and situational awareness!

We would like to introduce a case study of the development of an "Automotive Image Recognition Control System" at our company. During the development, we faced challenges such as ensuring the versatility of image processing that is robust against adverse conditions like low light, backlighting, and raindrops. To overcome these challenges, we are implementing multi-sensor fusion with infrared cameras, distillation of deep learning models, and support for compact GPUs. 【Technical Challenges】 ■ Ensuring the versatility of image processing that is robust against adverse conditions like low light, backlighting, and raindrops ■ Maintaining a balance with onboard processing capabilities through model lightweighting ■ Optimizing the end-to-end pipeline to minimize detection latency *For more details, please download the PDF or feel free to contact us.