Companies need to get more into the integration of AI within Software-Defined Vehicle architectures, focusing on how intelligent camera systems enhance both safety and operational efficiency. They have to invest in advanced AI algorithms for real-time data processing, sensor fusion techniques, and edge computing capabilities that drive decision-making in autonomous and semi-autonomous vehicle environments. The role of AI in predictive analytics, situational awareness, and adaptive control is getting bigger and it’s good to know how these technologies are shaping the next generation of vehicle systems.
Join this session to get to know more about:
- Machine learning models and computer vision techniques that enable real-time object detection, classification, and threat assessment
- How AI integrates data from cameras, LiDAR, and other sensors to enhance situational awareness and reduce system latency
- How AI-driven analytics can forecast mechanical issues, optimize performance, and support over-the-air updates in SDVs
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