Foundation models for autonomous driving: A comprehensive survey

Keyphrases

• Autonomous Driving 100%
• Foundation Models 100%
• Comprehensive Survey 100%
• Autonomous Driving System 100%
• Safety Alignment 50%
• Closed-loop Control 25%
• Resource Constraints 25%
• Data Privacy 25%
• Alignment Measurement 25%
• Cross-modal 25%
• Predictive Modeling 25%
• Data Extraction 25%
• Language Model 25%
• System Control 25%
• Hallucinations 25%
• Decision System 25%
• Control Interaction 25%
• Real-time Constraints 25%
• Human-machine Interaction 25%
• Multimodal Data 25%
• Scene Understanding 25%
• Planning Control 25%
• Artificial Intelligence Applications 25%
• Panoramic Image 25%
• Supervised Fine-tuning 25%
• Light Detection 25%
• Long Tail 25%
• Deployment Strategy 25%
• Sensory Input 25%
• Content Generation 25%
• Large Language Models 25%
• Vision-Language Models 25%
• Information Processing Task 25%
• Safety Verification 25%
• Modal Language 25%
• Natural Language Explanation 25%
• We-map 25%
• Vehicle-to-everything 25%
• Multimodal Large Language Models 25%
• Tail Robustness 25%
• Feedback Knowledge 25%
• Modeling Decision-making 25%
• Prompt Engineering 25%
• Data Governance 25%
• Language Understanding 25%
• Closed-loop Experiments 25%
• Decision Control 25%
• Knowledge Distillation 25%
• Edge-aware 25%
• Reinforcement Learning from Human Feedback 25%
• Implemented Artificial Intelligence 25%

Computer Science

• Autonomous Driving 100%
• Foundation Model 100%
• Decision-Making 40%
• Artificial Intelligence 40%
• Language Modeling 40%
• Reinforcement Learning 20%
• Knowledge Distillation 20%
• Resource Constraint 20%
• Data Privacy 20%
• Research Direction 20%
• Time Constraint 20%
• Data Extraction 20%
• Processing Task 20%
• Closed-Loop Control 20%
• Scene Understanding 20%
• Information Processing 20%
• Large Language Model 20%
• Language Understanding 20%
• Deployment Strategy 20%
• Data Governance 20%
• Multimodal Large Language Models 20%
• Modal Language 20%
• Prompt Engineering 20%