What are the main technical challenges of automated driving?
Some key challenges include sensor reliability, real-time data processing, and decision-making algorithms.
How do sensors affect the performance of self-driving cars?
Sensors like LIDAR and cameras are crucial for detecting obstacles, but they can struggle in poor weather conditions.
What role does machine learning play in automated driving?
Machine learning helps vehicles learn from data, improving their ability to make decisions in complex environments.
Are there any safety concerns with automated driving?
Yes, safety concerns include system failures, cybersecurity threats, and the ethical implications of decision-making.
What advancements are being made to overcome these challenges?
Advancements include improved algorithms, better sensor technology, and extensive testing in diverse environments.
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