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Challenges in Real-Time Models for Autonomous Vehicles
Exploring the difficulties of deploying real-time models in self-driving cars compared to cloud-based models, focusing on training, hardware constraints, latency optimization, and efficient resource utilization. Discussion includes adapting cutting-edge techniques to fit constrained environments and the complexity of decision-making in autonomous vehicles based on anticipatory analysis.