Review:
Deep Learning In Autonomous Vehicles
overall review score: 4.5
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score is between 0 and 5
Deep learning in autonomous vehicles refers to the use of artificial intelligence and neural networks to enable vehicles to operate without human intervention.
Key Features
- Neural networks
- Computer vision
- Sensor fusion
- Decision-making algorithms
Pros
- Increased safety on roads
- Reduced accidents
- Improved efficiency in transportation
Cons
- High computational requirements
- Limited adaptability to unforeseen situations