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Following sessions have been added and the section will keep growing:
1. Using ISP for real-time data augmentation.
Fundamentals of automotive imaging, augmentation policies for data collection.
2. ISP adaptation for computer vision.
Real time data-augmentation and distortion correction in ISP.
3. Limitations of vision–only approach. Reasons to still use 3D mapping hardware. Challenges of deep neural networks with regard to training data.
4. Developing and tuning the camera for traffic light signal detection. Building a data driven camera with custom lens and led flicker mitigation.
5. 8mpx automotive camera system. Feasibility study of using 8mpx vs. 2mpx sensor.
System architecture overview from the perspective of ISP.
6. 8mpx automotive camera system. Object detection probabilities and image quality aspects.
7. Key Automotive Image Quality KPIs. Overview of detail reproduction methods,
1. Fundamentals of automotive imaging. Using ISP data augmentation. Edge AI 2020.
2. ISP adaptation for computer vision. AutoSens 2020
3. Limitations on vision only-approach. Panel discussion at Tech.AD 2021
4. Developing and tuning the camera for traffic light signal detection. Scale 360. 2021
5. 8 Megapixel automotive camera system. Tech.AD 2021
6. 8 Megapixel automotive camera system. Auto.AI 2022
7. Key Image Quality KPIs for automotive cameras. 4th Auto Tech Vision Forum
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