Automatic driving has always been an important application field of artificial intelligence , Today, with the rapid development of artificial intelligence technology , How to apply the latest machine learning technology to the training of automatic driving model , It has become the frontier of artificial intelligence research . With people's awareness of AI The requirement of is gradually deepened from perception type to decision-making type ,AI The application ability in autonomous driving task has also become a measurement and decision-making type AI One of the standards of Technological Development .
OpenDILab It has also established DI-drive This is based on real autopilot AI case Evaluation and Algorithm Platform . This article reviews various decisions AI Method in the automatic driving environment , Various types of design for autonomous driving tasks are summarized , It also lists some decisions AI The key challenges of deploying in the real world .
2. Introduction to automatic driving process
3. From imitation learning to reinforcement learning : Automatic driving decision AI development history
4. Decision making AI The challenge of method in automatic driving